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[ourjobagency]

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[chaosherald]

Luck of the Draw

(Pre-Veilguard, Varric and Harding go looking for help in the quest to stop Solas and cross paths with Amara Ingellvar. Also, yay for finishing a fic!)

Lace Harding eyed the dingy common room of the roadside tavern, letting her eyes adjust to the shifting light and holding the door as Varric followed behind her.  This wasn’t the kind of place she expected to meet their contact, but she supposed even elite spirit mages needed to occasionally catch a bite or some gossip at the local watering hole. 

The place was crowded, but there was a sense of being intruders on a well established tableau as the door closed behind them. The bartender was deep in conversation with a merchant and what looked like hired guards. He didn’t look up to see who had come in. The only server in sight lingered by a rambunctious card game, apparently more interested in the bets than refilling drinks or greeting new customers. Several other tables, all mismatched, many in poor repair, were occupied by small groups and individuals deep in conversation or deep in their cups.  

“Are you sure this is where we’ll find our guy?” Harding asked.

“Absolutely” Varric said. “This is exactly the kind of place where stories take a turn for the better.”

Harding snorted, starting towards the bar. “It can’t get much worse. You were pretty confident the Mourn Watch would be able to help and they refused to even see us.”

“Yeah, well even I couldn't predict an undead civil war shutting down the Necropolis. Shame. After listening to Cassandra rant about the place, I was looking forward to the tour.” Varric turned away from her and turned his best ‘making new friends’ smile to the bartender, flipping a coin in the air. “Evening. My friend and I would love some dinner and some help finding one of your regulars.”

The bartender looked at them with a faint air of annoyance. “Roast chicken, squash, and potatoes. Flatbread is extra. Money up front. And if you’re looking to bring trouble to one of my regulars then you’d best see yourselves back out.”

“No trouble, friend.” Varric placed down several more coins on the bar. “We were told a spirit mage - Niklas Haberkorn - could usually be found here in the evenings. We just want to talk to him about a job.”

Harding hadn’t thought the bartender’s face could get less friendly, but the name of their contact did the trick. “Haberkorn,” the bartender said slowly. “Not sure what kind of work you think you’ll get out of him. He’s over there, watching my girl watch her guy lose his wages” he said, gesturing towards the card game. Harding saw a younger human man with short hair and dark robes sitting alone at the table closest to the card game. “Hey!” the bartender yelled. “Sofie! Not paying you to ogle your boyfriend. Get these folks dinner and set 'em up at Haberkorn’s table.”

The server - Sofie, Harding assumed - jumped and made for the kitchen, patting the card player in front of her on the back as she slid behind him. The mage darted his eyes between the server and Harding and Varric, confusion creasing his brow. Varric sighed and nudged Harding to start towards the mage’s table. “Well, I guess that's one way to get an introduction.  Let’s go meet our mage.” he said.

***

“...and that's the story, kid.” Varric leaned back in his chair, smiling at Niklas. “All we need now is someone who can talk some sense into a few reticent spirits. You in?”

Niklas Haberkorn hadn’t lost the faintly confused look on his face while Varric had told him about the job. He also hadn’t stopped watching Sofie who had returned to her post by the card players.

Harding, sitting next to him, watched the mage push around the chicken bones left on his plate.  She was pretty sure she knew his answer before he opened his mouth.

“I thank you for thinking of me, but I can't just leave on some wild spirit chase.” Niklas said, finally looking away from the card table. “The circle placed me here to look after the area and I take that seriously.”

“Right. We know that's important, but…” Varric was drowned out by shouts from the card game. One of the players was collecting their winnings while the other players talked over each other. A dwarven woman and a human man were both loudly lamenting their luck as they stood up from their chairs.

Niklas sprang to his feet. “I wish you both the best, really, but if you'll excuse me.” The mage quickly walked over to one of the open seats at the card game. “Deal me in” he said, smiling at Sofie and sitting next to her favorite player.

Harding watched him leave, mentally calculating how much further out of their way they'd have to go to find another mage. Her feet hurt at the very thought. “So now what?” she asked Varric.

Varric tapped the table, with just a little more force than necessary. He'd never admit it, but Harding knew his tells by now. He was getting frustrated. “Now? We regroup. Figure out our next steps. And play some cards.”

“Really? Varric, I don't think Wicked Grace is going to help.”

Varric stood, smiling at Harding. “The night's not over yet. If I have my way, we're not leaving here without a mage “

Several hands in, Niklas seemed no more inclined to join them then he had been, but Harding watched as Varric made some new friends. Sofie's boyfriend went by Thad and worked at the local smithy. He and Niklas were clearly friends or something more, much to Sofie's apparent annoyance. She was called back to the kitchen again, though she went out of her way to kiss Thad real good before she left. It felt a bit like a challenge and seeing Niklas’ tight expression, Harding was pretty sure she knew who it was meant for. Seemed like the bartender hadn't teased out the exact dynamics of that situation but in his defense it seemed like the three involved weren't quite sure where they stood with each other either. The rest of the players were pleasant enough. Mattias, a human with a Marcher accent and very fancy boots, was traveling with the merchant at the bar and had a good laugh. Amara, an elf with leaf patterned vallaslin in traveling leathers, was on a lucky streak. She had been the victor in the last round of games and was taking more hands than not this round too. Harding watched with amusement as she confidently called Varric’s bluff and lightened his purse yet again.

The merchant at the bar called for Mattias to join him and the rest of the players agreed to a pause. Niklas grabbed Thad’s arm, muttering something too quiet for Harding to hear. Thad laughed and let himself be pulled from his chair and herded towards a bench by the fireplace.

Harding almost expected Varric to follow them, but he watched them go without comment, leaning back in his seat and turning to watch Amara. She was slowly shuffling the deck. “Let's see,” he said without preamble. “You aren't hiding cards up your sleeves. We've been rotating who deals, so you aren't setting up your hand that way. Could be magic, but if so it's subtle.”

The elf woman stopped mid-shuffle, the corner of her mouth twitching with the beginnings of a smile. “Are you accusing me of cheating?”

“Eh. All's fair in Wicked Grace until you get caught. Just trying to figure you out, kid.”

That got a full smile from the elf woman. “Sorry to disappoint, but I work hard to maintain my air of mystery.”

Varric chuckled. “Fair enough. You are a mage though.”

Harding noticed that Amara didn't argue with Varric's observation. She also didn't confirm it.  Harding looked over the elf again. She wore a knife, no other visible weapons. Not everyone could tell the difference between a mageknife and the more mundane variety, but Varric had a good eye and had been sitting next to the woman for a while.

Varric glanced towards the duo by the fire before leaning a little closer to Amara. “How well do you know Loverboy over there?”

“Not well, just by reputation. Not all mages are friends.”

“Don't I know it. So, what is his reputation?”

Amara’s smile froze a bit. She was still fiddling with the cards, though they were long past needing shuffling. “Poor enough that I assumed I could come this way and not worry about being noticed. I'm technically supposed to be leaving Nevarra as quickly as possible.”

“Huh. I bet there's a story there”

“Not a good one.”

Harding frowned, deciding to join the conversation. “Are you in some kind of trouble?”

“Only if I get caught.”

Movement caught Harding's eye over by the fireplace. Haberkorn had apparently decided to try and one up Sofie and was kissing Thad like he had something to prove. 

A crash sounded by the bar. Sofie stood in front of the counter, dropped tray and spilled drinks at her feet, an angry blood red light dancing around her, eyes flickering with an unnatural gleam as she glared at Thad and Niklas.

“Shit” muttered Varric, reaching for Bianca. On his other side, Amara was already on her feet. 

“I assume that monstrosity of a crossbow isn't just for show?” she asked, putting herself between Varric and Harding and whatever was trying to manifest via Sofie.

Varric widened his eyes in mostly mock offence. “Bianca is no monstrosity.  And she’s put down her share of demons.”

The elf nodded, green light flickering over her fingers as she glanced at Harding. “And your friend with the proper bow?” she asked.

“Best shot I know” Varric said.

“Good. Be ready to shoot if it gets past me. Or possesses one of us. I need to talk to it.”

Harding widened her eyes, pulling an arrow from her quiver. “Talking down a demon?” That usually doesn't end well.”

Amara shrugged, throwing what looked like a barrier around the group of patrons closest to the bar. They were too close to Sofie to move without risking drawing the demon's attention. “It's not a full possession yet. Poor thing has barely crossed the Veil. Let me deal with it.”

Varric signaled to Harding to follow him and started backing up towards Thad and Niklas. Many of the others around the room had left their seats and made for the door or stairs. 

Thad was wide eyed, looking between Sofie and the light show and Niklas. “What's going on?”

“I don't - I mean, I didn't think she'd - Sofie, you need to stop.” Niklas took a tentative step forward, a staff materializing in his hand.

Sofie shrieked. The fire in the hearth and the lit candles scattered around the room jumping in response. The light around her started to consolidate. Harding had seen enough possessions to know that wasn't good. “You said you were done!” Sofie yelled, her voice followed by an unnatural echo. “We were done! He was mine! Only mine!”

Amara stepped directly into their sightlines.

“Right. Broken promise all mixed up with love and want and whatever power our incipit mage is channeling. Anger and betrayal. Delicious, I’m sure, but you’re thinking so small.” As she spoke, the elf inched closer to the twitching would-be abomination, one hand held out in a calming gesture, the other weaving those bits of green light behind her back. “You’ve got a much tastier target right here. She’s no one, directing all her rage at one insignificant person. I’m the one you want, I’m angry at everyone. All the folks back home who decided placating the nobility is more important than loyalty. Everyone here with someone or somewhere to go back to. Maker, I’m angry at you, for making me blow my cover. Why settle for her when I'm right here?”

Harding watched, fascinated, as eddies of vibrant red light started seeping out of Sofie. She kept her bow slack, not wanting to interrupt whatever Amara was doing or endanger Sofie, especially since it was obvious the elf had the demon’s attention. She and Varric had reached the guys over by the fireplace. Haberkorn was visibly shaking, but stepped up to Harding’s side, his staff glowing with sparks. Thad was weeping and calling Sofie’s name somewhere behind them.

The red light discharging from Sofie started to coalesce, shifting through shapes that bore only a passing resemblance to things found in nature. Demons really were the worst sometimes, but there was something insubstantial about the whole thing. Maybe Amara was right and whatever it was hadn't fully crossed the Veil yet. Sofie shuddered, falling to her knees.

The elf paused her approach, putting both hands behind her back and sparing a quick glance at the others in the room. “That's it. No need to keep that one. I'm right here, I am extraordinarily angry, and I'm not going anywhere.”

The demon lunged for Amara.

She was quick, mageknife unsheathed and slicing through the air between her and the demon with a bright green light as it closed in on her. The demon bounded back into a table which skid a few feet across the floor. Harding snapped an arrow into position, but held her shot. 

Amara had circled to the side, putting herself between the demon and the folks still huddled by the bar. Her eyes glowed bright green, matching the light that was still emanating off her. “Niklas,” she called, not taking her eyes off the demon. “Go cover Sofie.”

Haberkorn listened, moving towards where Sofie had collapsed on the floor. Varric moved with him while Harding kept her current spot and the excellent shot she had lined up, just in case. The demon had smashed the table with an ear splitting howl and lunged for Amara again.

This time it ran headlong into a burst of flame. Amara held her ground, using her magic to pull something from one of the tables to the side as the demon latched on to her outstretched arm. The mageknife clanged to the floor and Harding took that as her cue to let loose an arrow. Sofie was clear and she really didn’t want to see anyone else get hurt if she could help it.

The demon flinched back and Amara did something that made the whole room buzz. A circle of light flashed around her and the demon. Amara then held out what looked like chicken bones, likely the remains of someone’s dinner and what Harding had seen her pull off the table a moment ago. The mage held them in her outstretched hands, like an offering to the demon. “So much anger. Too much. You hardly know which way is up.” The cadence of her speech shifted into something that felt formal and formulaic. “Attend, wandering Spirit. Find refuge within this offered vessel. Accept its shelter and recall what you are meant to be.”

The demon howled again, but seemed unable to move beyond the circle still flashing around it and Amara. Harding, a second arrow at the ready, watched in fascination as streamers of red light started to unwind from it, looping around and sinking into the chicken bones. Amara kept repeating the chant - spell - whatever it was. Blood was dripping on the floor from where the demon had grabbed her arm, but her hands and voice stayed steady.

Assuming Amara had the situation under control, Harding spared a glance around the room to confirm everyone else was alright. The group by the bar were glancing at each other, wide eyed, still shocked by the emergence of a demon just a few feet from their position. The merchant’s guards hadn’t managed to draw their blades, but were standing in front of their client. Varric and Niklas hovered over Sofie, the latter casting some kind of healing spell while Varric kept Bianca at the ready. Thad looked pained, his eyes darting between Niklas and Sofie and the demon which was quickly losing what shape it had as more and more of it was bound to the bones in Amara’s hands.

Amara kept chanting, sinking to her knees as the demon shrank and faded. The bones in her hand glowed with a softer pink light, taking the shape of something not entirely unlike a chicken with ghostly wings and feathers. Its eyes lit up, soft and steady. No other sign of the demon remained.  Harding slowly made her way over to Amara’s side, careful not to disturb the glowing circle that still surrounded her.  “Amara? Are you alright? Are we clear?”

Amara looked exhausted. She placed the glowing, twitching, not-a-chicken skeleton on the ground, sitting back to rest on her heels. “Yeah, it's not going anywhere.” Amara waved her hand, dismissing the circle around her.

Several of the other patrons started to gather around, looking at Amara and the skeleton chicken with a wide range of expressions. Harding offered Amara a hand. “That was amazing! How did you know how to do that?”

The bartender answered, staring at what was left of the demon, something like awe in his voice. “Because she’s a Watcher.” He inclined his head to Amara. “Hail the Keepers of the Dead.”

Amara rubbed her face. “For the Living and the Dead” she mumbled, picking up her knife and accepting Harding’s offered hand. With a grunt of effort, she got to her feet, looking over towards Varric, Haberkorn, and Sofie. “Is she alright?”

“Out cold, but still breathing,” Varric said. “I’d love to know how a serving girl managed to almost get possessed in the middle of her shift.”

“Because someone was helping hide her magic. Or is incapable of recognizing she had magic.” Amara glared at Haberkorn, though the effect was lessened some by how she swayed on her feet and the way she was cradling her injured arm. “This is your mess to clean up, Master Haberkorn. And I suggest the three of you,” Amara turned her head to also take in Thad who was moving towards Niklas and Sofie, “figure your shit out so this doesn’t happen again.”

“Hey,” Harding spoke softly. “Now might not be the best time. They all look pretty frazzled. And you look like you’re about to collapse. Let’s get you to a seat.” Harding put her hand on Amara’s back, starting to guide her towards the nearest table.

Nearly simultaneously, Harding heard the sound of a blade being unsheathed behind them and Varric calling out a warning.

One of the guards traveling with the merchant was slowly advancing on them, having finally decided to arm himself. “Amara. Watcher Amara Ingellvar?”

Amara cursed under her breath, pulling away from Harding and turning to face the guard. 

“Or former Watcher, right? Bounty on you said that you destroyed the remains of Baron Van Markham. Makes you an oath breaker. Desecrater of the honored dead.” Several of the locals reacted to that. The bartender even made a sign against evil.

“A bounty?” Harding hissed, glancing back at Varric. He was already moving closer to them and taking aim with Bianca.

“Didn't know that part,” Amara muttered, shifting her mageknife to a ready position. Raising her voice, she addressed the guard. “For the record, the Baron was leading an uprising that was about to get really ugly.”

Harding heard the distinct click-thunk of Bianca firing. A bolt embedded itself in the floor a few inches in front of the guard’s toes. “And she’s with us, so you’re going to want to think real hard about just how much trouble that bounty is worth,” Varric said, coming to stand near Amara’s other side.

Amara frowned, glancing at Varric then at Harding. “You don’t need to get involved. This is my problem.”

Harding chuckled, casually setting an arrow across her bow. “Well, we have a job that needs a mage and you need some help, so - I’m pretty sure we’re getting involved.”

“Exactly” said Varric. “All of you just missed having front row seats to a rage demon tearing this place and everyone in it apart. Attacking her seems like poor repayment for your lives.”

“And you hurt her, you risk freeing the demon she trapped,” said Niklas. He and Thad had slowly followed Varric forward, supporting a woozy Sofie between them. The three of them didn’t look terribly intimidating, but were making it clear where they stood. “I can’t do a binding like that. None of you could do it either. That thing gets out, it's out.”

The guard’s sword wavered. No one else stepped forward to help him. After an agonizing moment, Mattias stepped up behind him and clapped his hand on the would-be attacker's shoulder. “Stand down, man.”

The guard scowed, but sheathed his sword, letting Mattias pull him back. “Be glad I’m on a job right now.”

“Sure. Overjoyed.” Amara looked over the rest of the crowd, as if daring someone else to come forward.  No one did.  She then walked over to the bar and grabbed someone's drink. Harding, arrow still resting on her bow and ready to bring to firing position if needed, watched as Amara poured the liquid over the blood she had spilled on the floor earlier. Once that was done she turned to Varric and Harding. “So this job. Is it outside Nevarra?”

“It is,” confirmed Varric. He still held Bianca at the ready, watching the guard and the rest of his travel group.

“Well, guess I’m in then. Just give me a moment.” Amara picked up the chicken demon thing and went over to Niklas, Thad, and Sofie.

Harding leaned over to whisper to Varric. “Are you sure about this?” she asked, watching as Amara conferred with the other mage and his maybe lovers, maybe friends, maybe rivals. She couldn't hear everything they were saying, but it sounded like instructions on how to handle the chicken bone demon and who to contact about getting Sofie training.

Varric grinned. “Oh yeah, I'm sure. You saw how she handled that demon.”

“Yep. By offering herself as bait and letting it injure her before trapping it in chicken bones.”

“I've seen worse plans. Chuckles definitely won’t see her coming.”

“Uh-huh. And I'm sure you've noticed she looks like she could be the Inquisitor's younger sister. And that she talks like Hawke did in your book. That has nothing to do with it right?”

Varric looked slightly abashed. “I might have noticed some similarities, but I've got a good feeling about her. We also need someone to deal with those spirits and I don’t think Master Haberkorn is up for it.”

Harding sighed. That part was true. “I’m pretty sure she wasn’t lying about being angry at everyone. And she has a bounty on her head.”

Varric nodded. “And I still don’t know how she was cheating at cards.” He grinned at her, like that statement was more than enough to make his case.

Harding rolled her eyes. Amara was done talking to the others and had walked back to the card table where her pack rested by her chair. Varric and Harding did the same.

“Ready to go, Rook?” Varric asked, shouldering Bianca.

Amara looked up from wrapping a bandage around her arm, confusion obvious on her face. “Rook?”

“Don’t mind him,” Harding said, grabbing her pack. “Everyone gets a nickname. Well, almost everyone gets a nickname.”

Amara finished with the bandage and gathered her things, not looking any less confused. “Not using my actual name is probably for the best right now but - why Rook?”

“Tell you what,” Varric said, as the three of them headed for the door. Harding wasn’t looking forward to scouting out a campsite in the darkness, but staying the night here was definitely no longer an option. The entire room was watching them go, and not all the expressions were friendly. “You tell me how you were running circles around us in Wicked Grace, and I’ll explain the nickname.”

Amara - Rook - laughed at that. A small, tentative laugh, but a laugh all the same. “Sounds like a deal.”

[uegub]

Why Tableau is Essential in Data Science: Transforming Raw Data into Insights

Data science is all about turning raw data into valuable insights. But numbers and statistics alone don’t tell the full story—they need to be visualized to make sense. That’s where Tableau comes in.

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Tableau has been adopted by the majority of industries to make data science more impactful and accessible. This is applied in the following real-life scenarios:

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4. Tableau vs. Other Data Visualization Tools

There are many visualization tools available, but Tableau consistently ranks as one of the best. Here’s why:

Tableau vs. Excel – Excel struggles with big data and lacks interactivity; Tableau handles large datasets effortlessly.

Tableau vs. Power BI – Power BI is great for Microsoft users, but Tableau offers more flexibility across different data sources.

Tableau vs. Python (Matplotlib, Seaborn) – Python libraries require coding skills, while Tableau simplifies visualization for all users.

This makes Tableau the go-to tool for both beginners and experienced professionals in data science.

5. Conclusion

Tableau has become an essential tool in data science because it simplifies data visualization, handles large datasets, and integrates seamlessly with various data sources. It enables professionals to analyze, interpret, and present data interactively, making insights accessible to everyone—from data scientists to business leaders.

If you’re looking to build a strong foundation in data science, learning Tableau is a smart career move. Many data science courses now include Tableau as a key skill, as companies increasingly demand professionals who can transform raw data into meaningful insights.

In a world where data is the driving force behind decision-making, Tableau ensures that the insights you uncover are not just accurate—but also clear, impactful, and easy to act upon.

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[innovationalofficesolution]

Executive Dashboards Reimagined in Power BI After Tableau

In today's data-driven world, executive dashboards play a critical role in strategic decision-making. While Tableau has long been a popular choice for dashboard development, many organizations are discovering the advantages of migrating to Power BI for greater flexibility, integration, and long-term scalability. With Microsoft's powerful analytics platform, executive dashboards are being completely reimagined — offering a more connected, real-time, and enterprise-friendly approach to business intelligence.

Why Executive Dashboards Need a Refresh

Traditional Tableau dashboards, while visually engaging, often require complex data preparation and additional tools for integration with Microsoft 365 services. As leadership teams increasingly demand instant access to actionable insights across departments, Tableau’s limitations in real-time interactivity and native integration with enterprise ecosystems become more noticeable.

Power BI, on the other hand, brings together seamless Microsoft integration, strong AI-assisted analytics, and advanced DAX capabilities — allowing executives to view performance metrics, forecasts, and KPIs in a single interactive canvas. This results in a truly dynamic, real-time decision support system.

Key Benefits of Power BI for Executive Dashboards

1. Seamless Integration with Microsoft Ecosystem Post-migration, executive dashboards in Power BI can connect directly with Excel, Outlook, SharePoint, Teams, and Azure. This enhances collaboration and allows decision-makers to access and share dashboards without leaving their everyday tools.

2. Enhanced Real-Time Data Access Power BI supports direct query capabilities and real-time data streaming from various enterprise sources. Executives no longer rely on static reports — they can now monitor live performance metrics and respond instantly to fluctuations in business conditions.

3. Advanced Drill-Down & Custom Filters Unlike the relatively linear filtering experience in Tableau, Power BI enables multi-level drill-down, cross-filtering, and natural language Q&A features. Executives can explore deeper insights without involving IT or BI teams every time.

4. Cost Efficiency and Licensing Flexibility Power BI’s licensing structure is more scalable for organizations. With Power BI Pro or Premium, enterprises gain access to powerful analytics features at a fraction of the cost of maintaining Tableau Server and its associated data prep tools.

Real-World Use Case: From Static to Strategic

A multinational manufacturing company recently migrated from Tableau to Power BI using a structured migration strategy. Their executive dashboards, once limited to monthly static reports, now reflect up-to-the-minute performance of each business unit, integrated with Microsoft Teams for real-time collaboration. Revenue growth, operational KPIs, and market forecasts are now part of daily decision-making.

Conclusion: Power BI Empowers the Executive Suite

Reimagining executive dashboards in Power BI transforms how leaders view data — not just as reports, but as strategic enablers. With improved interactivity, intelligent automation, and seamless integration, Power BI unlocks new possibilities for the C-suite to lead with clarity and agility.

For organizations planning a migration, rethinking dashboard design through the lens of Power BI can be a turning point in achieving enterprise-wide intelligence.

Explore more insights and migration strategies at 👉 https://tableautopowerbimigration.com/

[database-integration]

QuickSight vs Tableau: Which One Works Better for Cloud-Based Analytics?

In today’s data-driven business world, choosing the right tool for cloud-based analytics can define the efficiency and accuracy of decision-making processes. Among the top contenders in this space are Amazon QuickSight and Tableau, two leading platforms in data visualization applications. While both offer powerful tools for interpreting and presenting data, they vary significantly in features, pricing, integration capabilities, and user experience.

This article will delve deep into a comparative analysis of QuickSight vs Tableau, evaluating their capabilities in cloud environments, their support for Augmented systems, alignment with current data analysis trends, and suitability for various business needs.

Understanding Cloud-Based Analytics

Cloud-based analytics refers to using remote servers and services to analyze, process, and visualize data. It allows organizations to leverage scalability, accessibility, and reduced infrastructure costs. As businesses migrate to the cloud, choosing tools that align with these goals becomes critical.

Both QuickSight and Tableau offer cloud-based deployments, but they approach it from different perspectives—QuickSight being cloud-native and Tableau adapting cloud support over time.

Amazon QuickSight Overview

Amazon QuickSight is a fully managed data visualization application developed by Amazon Web Services (AWS). It is designed to scale automatically and is embedded with machine learning (ML) capabilities, making it suitable for interactive dashboards and report generation.

Key Features of QuickSight:

Serverless architecture with pay-per-session pricing.

Native integration with AWS services like S3, RDS, Redshift.

Built-in ML insights for anomaly detection and forecasting.

SPICE (Super-fast, Parallel, In-memory Calculation Engine) for faster data processing.

Support for Augmented systems through ML-based features.

Tableau Overview

Tableau is one of the most well-known data visualization applications, offering powerful drag-and-drop analytics and dashboard creation tools. Acquired by Salesforce, Tableau has expanded its cloud capabilities via Tableau Online and Tableau Cloud.

Key Features of Tableau:

Rich and interactive visualizations.

Connects to almost any data source.

Advanced analytics capabilities with R and Python integration.

Strong user community and resources.

Adoption of Augmented systems like Tableau Pulse and Einstein AI (through Salesforce).

Comparative Analysis: QuickSight vs Tableau

1. User Interface and Usability

QuickSight is lightweight and streamlined, designed for business users who need quick insights without technical expertise. However, it may seem less flexible compared to Tableau's highly interactive and customizable dashboards.

Tableau excels in usability for data analysts and power users. Its drag-and-drop interface is intuitive, and it allows for complex manipulations and custom visual storytelling.

Winner: Tableau (for advanced users), QuickSight (for business users and simplicity)

2. Integration and Ecosystem

QuickSight integrates seamlessly with AWS services, which is a big plus for organizations already on AWS. It supports Redshift, Athena, S3, and more, making it an ideal choice for AWS-heavy infrastructures.

Tableau, on the other hand, boasts extensive connectors to a vast range of data sources, from cloud platforms like Google Cloud and Azure to on-premise databases and flat files.

Winner: Tie – depends on your existing cloud infrastructure.

3. Performance and Scalability

QuickSight's SPICE engine allows users to perform analytics at lightning speed without impacting source systems. Since it’s serverless, scalability is handled automatically by AWS.

Tableau provides robust performance but requires configuration and optimization, especially in self-hosted environments. Tableau Online and Cloud offer better scalability but may incur higher costs.

Winner: QuickSight

4. Cost Structure

QuickSight offers a pay-per-session pricing model, which can be highly economical for organizations with intermittent users. For example, you only pay when a user views a dashboard.

Tableau follows a user-based subscription pricing model, which can become expensive for large teams or casual users.

Winner: QuickSight

5. Support for Augmented Systems

QuickSight integrates ML models and offers natural language querying through Q (QuickSight Q), allowing users to ask business questions in natural language and receive answers instantly. This is a great example of how Augmented systems are becoming more mainstream.

Tableau, through its parent company Salesforce, is integrating Augmented systems like Einstein Discovery. It provides predictions and AI-powered insights directly within dashboards.

Winner: Tableau (more mature and integrated AI/ML features through Salesforce)

6. Alignment with Data Analysis Trends

Both platforms are aligned with modern data analysis trends, including real-time data streaming, AI/ML integration, and predictive analytics.

QuickSight is riding the wave of serverless architecture and real-time analytics.

Tableau is advancing toward collaborative analytics and AI-driven insights, especially after Salesforce’s acquisition.

Tableau Pulse is a recent feature that reflects current data analysis trends, helping users get real-time alerts and updates without logging into the dashboard.

Winner: Tableau (more innovations aligned with emerging data analysis trends)

7. Collaboration and Sharing

In QuickSight, collaboration is limited to dashboard sharing and email reports. While effective, it lacks some of the deeper collaboration capabilities of Tableau.

Tableau enables shared workbooks, annotations, embedded analytics, and enterprise-level collaboration across teams, especially when integrated with Salesforce.

Winner: Tableau

8. Data Security and Compliance

Both platforms offer enterprise-grade security features:

QuickSight benefits from AWS's robust security and compliance frameworks (HIPAA, GDPR, etc.).

Tableau also supports a wide range of compliance requirements, with added security controls available through Tableau Server.

Winner: Tie

9. Customization and Extensibility

Tableau offers superior extensibility with support for Python, R, JavaScript API, and more. Developers can build custom dashboards and integrations seamlessly.

QuickSight, while customizable, offers fewer extensibility options. It focuses more on ease-of-use than flexibility.

Winner: Tableau

10. Community and Support

Tableau has one of the largest user communities, with forums, certifications, user groups, and an active marketplace.

QuickSight is newer and has a smaller but growing community, primarily centered around AWS forums and documentation.

Winner: Tableau

Use Case Comparison

Use CaseBest ToolAWS-Native WorkloadsQuickSightComplex Dashboards & VisualizationsTableauOccasional Dashboard ViewersQuickSightAdvanced Analytics and ModelingTableauTight Budget and Cost ControlQuickSightCollaborative Enterprise AnalyticsTableau

The Verdict: Which Works Better for Cloud-Based Analytics?

Choosing between QuickSight vs Tableau depends heavily on your specific business needs, existing cloud ecosystem, and user types.

Choose QuickSight if you’re already using AWS extensively, have a limited budget, and need fast, scalable, and easy-to-use data visualization applications.

Choose Tableau if you need rich customization, are heavily invested in Salesforce, or have data analysts and power users requiring advanced functionality and support for Augmented systems.

In terms of data analysis trends, Tableau is more in tune with cutting-edge features like collaborative analytics, embedded AI insights, and proactive alerts. However, QuickSight is rapidly closing this gap, especially with features like QuickSight Q and natural language queries.

Conclusion

Both QuickSight and Tableau are excellent platforms in their own right, each with its strengths and limitations. Organizations must consider their long-term data strategy, scalability requirements, team expertise, and cost constraints before choosing the best fit.

As data analysis trends evolve, tools will continue to adapt. Whether it’s through more intuitive data visualization applications, AI-driven Augmented systems, or better collaboration features, the future of analytics is undeniably in the cloud. By choosing the right tool today, businesses can set themselves up for more informed, agile, and strategic decision-making tomorrow.

[newspressx]

china Embedded Business Intelligence Software Market Economic Forecast 2025: Tariff Impacts, Recession Risk & Recovery Scenarios

Introduction: The latest research study from Prophecy Market Insights offers a thorough analysis of the Embedded Business Intelligence Software Market , focusing on risk assessment, opportunities, and strategic decision-making support. This report provides insights into market development, trends, growth factors, and investment structures, aiding businesses in navigating the evolving landscape of Embedded Business Intelligence Software Market. Report Sample: A brief overview of the research report. Graphical presentation of regional analysis. Revenue analysis of top players in the market. Selected illustrations of market insights and trends. Example pages from the report. Embedded Business Intelligence Software Market Overview:    The research provides a systematic approach to gathering, evaluating, and interpreting market data, including customer preferences, competitor analysis, and sectoral trends. It helps companies understand customer needs, assess market demand, and identify growth opportunities. Market research offers valuable insights through surveys, interviews, and data analysis, guiding product development, marketing strategies, and decision-making processes. Request a Sample Strategic Report in PDF Format: https://www.prophecymarketinsights.com/market_insight/Insight/request-pdf/3094 Leading Key Players Operating in the Embedded Business Intelligence Software Market Domo Inc. Tableau Server Power BI Looker Sisense and SAP Inc. Key players are well-known, powerful businesses that have a big impact on a certain market or sector. Finding the important companies is essential to comprehending the dynamics of the industry or the competitive environment. Please be aware that changes in the industry, mergers, acquisitions, or the entry of new competitors may cause the status of important players to alter over timeEmbedded Business Intelligence Software Market: Demand Analysis & Opportunity Outlook 2034   Embedded Business Intelligence Software Market analyzes customer preferences, economic trends, and industry dynamics to predict demand patterns and identify new opportunities. By leveraging data-driven research and predictive modeling, businesses can anticipate changes in market demand, plan product development, and position themselves proactively in the evolving business landscape of 2034. Major Market Analysis Findings: Consumer preferences: Businesses can better understand their target audience’s preferences by conducting market research, which can reveal things like preferred product features, pricing, and branding. The most crucial product characteristics, the most alluring pricing points, and the most effective brand messaging are just a few examples of key findings. Market size and growth potential: Businesses can evaluate the size of the market and its growth potential with the use of market research. The size of the market overall, the size of particular market segments, and the market’s anticipated growth rate are just a few examples of key findings. Market trends: Businesses can use market research to spot new market trends, such as alterations in customer behavior, adjustments to industry rules, or the arrival of new technologies. The most important market trends, the causes influencing those trends, and their possible effects on the company may be some of the key findings. Get a free sample of the report: https://www.prophecymarketinsights.com/market_insight/Insight/request-sample/3094  (The sample of this report is readily available on request)     The segments and sub-section of Embedded Business Intelligence Software Market is shown below: Market Segmentation: Embedded Business Intelligence Software Market, By Type (Cloud-Base and Web-Based), By Application (Large Enterprises and Small & Medium Enterprises), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) - Market Trends, Analysis, and Forecast till 2029 Regional Analysis for Embedded Business Intelligence Software Market:

This section of the report includes comprehensive information on Embedded Business Intelligence Software Market that is accessible in several fields. Each region offers a distinct Embedded Business Intelligence Software Market length as each state has its own executive insurance laws and components. North America - U.S., Canada Europe - UK, Germany, Spain, France, Italy, Russia, Rest of Europe Asia Pacific - Japan, India, China, South Korea, Australia, Rest of Asia-Pacific Latin America - Brazil, Mexico, Argentina, Rest of Latin America Middle East & Africa - South Africa, Saudi Arabia, UAE, Rest of Middle East & Africa Research Methodology The research methodology employed by Prophecy Market Insights for market research involves a systematic approach that integrates primary and secondary research techniques. Through direct interactions with industry experts and stakeholders, as well as comprehensive analysis of secondary sources, we gather valuable data on market trends, consumer behavior, and competitive landscape. Advanced data analysis techniques are then applied to interpret this data accurately, providing clients with actionable insights to make informed decisions and strategies in today's dynamic marketplaces. Author: Shweta.R is a market research analyst with deep expertise in the food and nutrition sector. Passionate about data-driven insights, She focuses on identifying emerging trends and growth opportunities. About Us: Prophecy Market Insights is a leading provider of market research services, offering insightful and actionable reports to clients across various industries. With a team of experienced analysts and researchers, Prophecy Market Insights provides accurate and reliable market intelligence, helping businesses make informed decisions and stay ahead of the competition. The company's research reports cover a wide range of topics, including industry trends, market size, growth opportunities, competitive landscape, and more. Prophecy Market Insights is committed to delivering high-quality research services that help clients achieve their strategic goals and objectives. Contact Us: Prophecy Market Insights Website- https://www.prophecymarketinsights.com US toll free: +16893053270

[crawlxpert01]

How to Track Restaurant Promotions on Instacart and Postmates Using Web Scraping

Introduction

With the rapid growth of food delivery services, companies such as Instacart and Postmates are constantly advertising for their restaurants to entice customers. Such promotions can range from discounts and free delivery to combinations and limited-time offers. For restaurants and food businesses, tracking these promotions gives them a competitive edge to better adjust their pricing strategies, identify trends, and stay ahead of their competitors.

One of the topmost ways to track promotions is using web scraping, which is an automated way of extracting relevant data from the internet. This article examines how to track restaurant promotions from Instacart and Postmates using the techniques, tools, and best practices in web scraping.

Why Track Restaurant Promotions?

1. Contest Research

Identify promotional strategies of competitors in the market.

Compare their discounting rates between restaurants.

Create pricing strategies for competitiveness.

2. Consumer Behavior Intuition

Understand what kinds of promotions are the most patronized by customers.

Deducing patterns that emerge determine what day, time, or season discounts apply.

Marketing campaigns are also optimized based on popular promotions.

3. Distribution Profit Maximization

Determine the optimum timing for promotion in restaurants.

Analyzing competitors' discounts and adjusting is critical to reducing costs.

Maximize the Return on investments, and ROI of promotional campaigns.

Web Scraping Techniques for Tracking Promotions

Key Data Fields to Extract

To effectively monitor promotions, businesses should extract the following data:

Restaurant Name – Identify which restaurants are offering promotions.

Promotion Type – Discounts, BOGO (Buy One Get One), free delivery, etc.

Discount Percentage – Measure how much customers save.

Promo Start & End Date – Track duration and frequency of offers.

Menu Items Included – Understand which food items are being promoted.

Delivery Charges - Compare free vs. paid delivery promotions.

Methods of Extracting Promotional Data

1. Web Scraping with Python

Using Python-based libraries such as BeautifulSoup, Scrapy, and Selenium, businesses can extract structured data from Instacart and Postmates.

2. API-Based Data Extraction

Some platforms provide official APIs that allow restaurants to retrieve promotional data. If available, APIs can be an efficient and legal way to access data without scraping.

3. Cloud-Based Web Scraping Tools

Services like CrawlXpert, ParseHub, and Octoparse offer automated scraping solutions, making data extraction easier without coding.

Overcoming Anti-Scraping Measures

1. Avoiding IP Blocks

Use proxy rotation to distribute requests across multiple IP addresses.

Implement randomized request intervals to mimic human behavior.

2. Bypassing CAPTCHA Challenges

Use headless browsers like Puppeteer or Playwright.

Leverage CAPTCHA-solving services like 2Captcha.

3. Handling Dynamic Content

Use Selenium or Puppeteer to interact with JavaScript-rendered content.

Scrape API responses directly when possible.

Analyzing and Utilizing Promotion Data

1. Promotional Dashboard Development

Create a real-time dashboard to track ongoing promotions.

Use data visualization tools like Power BI or Tableau to monitor trends.

2. Predictive Analysis for Promotions

Use historical data to forecast future discounts.

Identify peak discount periods and seasonal promotions.

3. Custom Alerts for Promotions

Set up automated email or SMS alerts when competitors launch new promotions.

Implement AI-based recommendations to adjust restaurant pricing.

Ethical and Legal Considerations

Comply with robots.txt guidelines when scraping data.

Avoid excessive server requests to prevent website disruptions.

Ensure extracted data is used for legitimate business insights only.

Conclusion

Web scraping allows tracking restaurant promotions at Instacart and Postmates so that businesses can best optimize their pricing strategies to maximize profits and stay ahead of the game. With the help of automation, proxies, headless browsing, and AI analytics, businesses can beautifully keep track of and respond to the latest promotional trends.

CrawlXpert is a strong provider of automated web scraping services that help restaurants follow promotions and analyze competitors' strategies.

[ozaintel]

Unlock Data-Driven Success with Tableau Services

In today’s fast-paced business world, data is power. But raw numbers alone aren’t enough—companies need tools to turn data into clear, actionable insights. That’s where Tableau Services shine. 

As a leading business intelligence platform (part of Salesforce), Tableau offers tools and support to help organizations visualize, analyze, and share data effortlessly. Let’s explore how Tableau Services can transform your business.

What Are Tableau Services?

Tableau Services include software, training, and expert support designed to simplify data management. Key tools include:

Tableau Desktop: Build interactive dashboards.

Tableau Cloud/Server: Share insights securely online or on-premises.

Tableau Prep: Clean and organize data quickly.

Paired with training courses, certifications, and 24/7 support, these services empower teams at all skill levels to make smarter decisions.

Top Benefits of Tableau Services

1. Easy Data VisualizationTableau’s drag-and-drop interface lets anyone create charts, graphs, and maps—no coding needed. For example, a retailer can track sales trends across regions in minutes using colorful dashboards.

2. Works for EveryoneWhether you’re a data expert or a beginner, Tableau adapts to your skills. Non-technical users can build reports, while analysts use SQL or Python for deeper dives.

3. Real-Time InsightsMonitor live data to act fast. A logistics company could track deliveries or inventory levels in real time, adjusting routes to save costs.

4. Connect Any Data SourceTableau links to spreadsheets, databases (like Google BigQuery), and apps (like Salesforce). Combine all your data into one dashboard for a unified view.

5. Team CollaborationShare dashboards securely with teams or clients. Marketing teams, for instance, can update executives on campaign performance instantly.

6. Grows with Your BusinessFrom startups to global firms, Tableau scales smoothly. Start with a single license and expand to enterprise-level solutions as needed.

7. Advanced AnalyticsPredict trends, like future customer demand, using AI-driven tools. Healthcare providers can forecast patient needs to improve care.

8. Save Time and MoneyAutomate data tasks to reduce manual work. Cloud options cut IT costs, letting small businesses focus on growth.

9. Top-Notch SecurityProtect sensitive data with features like role-based access and encryption—ideal for finance or healthcare industries.

10. Learn and ImproveAccess free courses, certifications, and a global user community. Get expert help to tailor Tableau to your goals.

Who Uses Tableau Services?

Retail: Optimize pricing using sales and customer data.

Healthcare: Improve patient care with treatment analytics.

Finance: Detect fraud and manage risk securely.

Education: Track student performance to allocate resources better.

Why Choose Tableau?

User-Friendly: Designed for all skill levels.

Trusted: Backed by Salesforce and used by over 1 million teams worldwide.

Flexible: Cloud, desktop, or server options fit any need.

How to Get Started

Free Trial: Test Tableau Cloud or Desktop on their website.

Plans: Choose subscriptions based on your team size.

Support: Partner with consultants for setup and training.

Final Thoughts

Tableau Services turn complex data into clear insights, helping businesses act faster, save costs, and stay competitive. Whether you’re analyzing sales trends or improving patient care, Tableau’s tools make data work for you.

Ready to unlock your data’s potential? Explore Tableau’s official website today—or try a free trial to see the difference yourself!

[chaosherald]

WIP Wednesday <3 (thank you @seaglassmelody for the tag!)

Not a lot to share today. Davrin week stuff is rolling out (and the community love has been the best - like, you are all awesome and a joy to interact with and I'm still floored by the response to the ballad - I almost didn't record it and I'm so glad people have been enjoying it. 💗)

3 main works in progress haven't changed: Varric and Harding meeting Rook, semi-poetic second person Lucanis character study, and the team adds to Mourn Watcher Rook's grave gold fluff (Davrin's part of which is getting posted Friday.) Travel this weekend involves grandparents who will help entertain the kiddos, so fingers crossed that I can eke out some writing time ^_^

In the meantime:

The place was crowded, but there was a sense of being intruders on a well established tableau as the door closed behind them.  The bartender was deep in conversation with a merchant and what looked like hired guards. He didn’t look up to see who had come in.  The only server in sight lingered by a rambunctious card game, apparently more interested in the bets than refilling drinks or greeting new customers.  Several other tables, all mismatched, many in poor repair, were occupied by small groups and individuals deep in conversation or deep in their cups.  

“Are you sure this is where we’ll find our guy?” Harding asked.

“Absolutely” Varric said. “This is exactly the kind of place where stories take a turn for the better.”

__________

(Crows do not fail. If they fail, they die.)

Illario puts it more bluntly, still angry. You already almost died, right in front of him. Stubborn, foolish need to be the best. Refusal to ask for a break, determined to be broken. If you had been higher when you slipped, if you had hit the ground wrong, what if what if what if.

(The Dellamorte family business is death. It will lead to yours someday. You already knew that.)

Still, he spends his downtime in your room. Sneaks in treats from the kitchen staff and trashy serials with badly written love scenes that Caterina would never let you both read. Illario reads them out loud and mocks them and your lungs burn when you laugh together (and breathe) over the poorly printed pages but you don't care.

Fifteen and almost a Crow and too old to make mistakes like this, to waste time laughing together but you (mostly) don’t care.

__________

"I'm really glad you weren't just being nice."

"What?"

"After we met. The first time we talked in the lighthouse. I apologized for babbling and you said you didn't mind. And you actually meant it. A lot of people say things like that but then they get annoyed or don't really listen but -"

[cybersecurityict]

AI in Asset Management Market Size, Share, Analysis, Forecast, and Growth 2032: Strategic Roadmap for Investors and Stakeholders

The AI In Asset Management Market was valued at USD 3.25 billion in 2023 and is expected to reach USD 23.01 billion by 2032, growing at a CAGR of 24.36% from 2024-2032. 

The AI in Asset Management market is rapidly transforming the financial services landscape by leveraging advanced machine learning algorithms, data analytics, and automation to optimize investment decisions, risk management, and operational efficiency. This market is driven by increasing demand for personalized investment strategies and the need to process vast amounts of financial data quickly and accurately. As financial institutions strive to stay competitive, the integration of AI technologies is becoming essential for improving portfolio management and enhancing client experiences.

AI In Asset Management Market Analysis continues to show significant growth potential fueled by the adoption of AI-powered tools such as robo-advisors, predictive analytics, and natural language processing. These innovations enable asset managers to analyze complex datasets, detect market trends, and execute trades with greater precision and speed. Additionally, regulatory pressures and rising expectations for transparency are pushing firms toward AI adoption to improve compliance and reporting processes while reducing operational costs.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5988 

Market Keyplayers:

Amazon Web Services, Inc. (Amazon SageMaker, AWS AI Services)

BlackRock, Inc. (Aladdin, FutureAdvisor)

CapitalG (Investments in AI-focused companies, Strategic AI partnerships)

Charles Schwab & Co., Inc. (Schwab Intelligent Portfolios, AI-driven financial advice tools)

Genpact (Cora Finance Analytics, AI-powered asset management solutions)

Infosys Limited (Infosys Nia, AI-driven financial services solutions)

International Business Machines Corporation (IBM Watson, IBM Cloud Pak for Data)

IPsoft Inc. (Amelia, 1Desk)

Lexalytics (Salience, Lexalytics Intelligence Platform)

Microsoft (Azure AI, Microsoft Power BI)

TABLEAU SOFTWARE, LLC (Tableau Desktop, Tableau Server)

Next IT Corp. (Alme, AI-powered virtual assistants)

S&P Global (Market Intelligence Platform, Kensho AI)

Salesforce, Inc. (Einstein Analytics, AI-driven CRM solutions)

FIS (FIS Asset Management Solutions, FIS Data Integrity Manager)

ION Group (ION Treasury, ION Analytics)

Synechron (Neo AI Platform, AI Data Science Accelerators)

SAP SE (SAP Cash Application, SAP Leonardo)

HighRadius (Autonomous Receivables, AI-powered Treasury Management)

Axyon AI (Axyon IRIS, AI Investment Strategies)

Upstart (AI-powered Lending Platform, Upstart Auto Retail)

Capgemini SE (AI in Wealth Management Solutions, AI-powered Financial Services)

BayCurrent Inc. (AI Consulting Services, AI-driven Financial Solutions)

MGX Fund Management Limited (AI Investment Fund, Global AI Infrastructure Investment Partnership)

Market Analysis The AI in Asset Management market encompasses software solutions, platforms, and services designed to support asset managers in investment research, portfolio optimization, risk assessment, and client management. Key players in this space include fintech startups, technology providers, and traditional financial institutions investing heavily in AI-driven capabilities. Increasing integration of cloud computing and big data analytics enhances AI applications, allowing real-time decision-making and adaptive learning.

Market Trends

Growing adoption of robo-advisors for automated portfolio management

Enhanced use of predictive analytics for market forecasting and risk management

Integration of AI with blockchain for improved security and transparency

Expansion of AI-driven customer relationship management (CRM) tools

Increased investment in AI for regulatory compliance and fraud detection

Market Scope

Cross-Industry Collaboration: AI in asset management is not limited to finance but is increasingly collaborating with technology and data science sectors to deliver innovative solutions.

Global Reach: The market is expanding beyond traditional financial hubs, with emerging economies adopting AI to modernize asset management practices.

Scalable Solutions: From small asset management firms to large institutional investors, AI technologies offer scalable and customizable options.

Focus on ESG Investing: AI tools are being developed to analyze environmental, social, and governance (ESG) factors, supporting the growing demand for sustainable investment strategies.

Market Forecast The future of AI in asset management looks promising, driven by continuous technological advancements and growing trust in AI decision-making processes. As AI models become more sophisticated, they will offer even greater predictive accuracy and operational efficiency. The rise of hybrid models combining human expertise with AI insights will redefine portfolio management paradigms, making investment strategies more agile and adaptive to market fluctuations. Furthermore, ongoing innovations in AI ethics and explainability will help build greater confidence among investors and regulators alike, ensuring sustainable growth and adoption.

Access Complete Report: https://www.snsinsider.com/reports/ai-in-asset-management-market-5988  

Conclusion AI in asset management is not just a technological upgrade—it's a paradigm shift reshaping how investments are analyzed, managed, and executed. For asset managers aiming to lead in the digital era, embracing AI is no longer optional but imperative. This market represents a convergence of cutting-edge technology and financial acumen that promises to deliver smarter, faster, and more transparent asset management solutions.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

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Expert Salesforce Tableau Integration Consulting for Smarter Reporting

Struggling to unify your Salesforce data with visual analytics? Our Salesforce Tableau integration consulting service bridges the gap, offering customized dashboards and real-time reports that empower your teams. We help businesses of all sizes harness the full power of Tableau with seamless Salesforce connectivity. From strategy to implementation, our certified consultants guide you every step of the way. Discover actionable insights, improve team collaboration, and make data-driven decisions faster. Optimize your reporting today—reach out now for professional Salesforce Tableau integration consulting that delivers results you can see!

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Cross-Mapping Tableau Prep Workflows into Power Query: A Developer’s Blueprint

When migrating from Tableau to Power BI, one of the most technically nuanced challenges is translating Tableau Prep workflows into Power Query in Power BI. Both tools are built for data shaping and preparation, but they differ significantly in structure, functionality, and logic execution. For developers and BI engineers, mastering this cross-mapping process is essential to preserve the integrity of ETL pipelines during the migration. This blog offers a developer-centric blueprint to help you navigate this transition with clarity and precision.

Understanding the Core Differences

At a foundational level, Tableau Prep focuses on a flow-based, visual paradigm where data steps are connected in a linear or branching path. Power Query, meanwhile, operates in a functional, stepwise M code environment. While both support similar operations—joins, filters, aggregations, data type conversions—the implementation logic varies.

In Tableau Prep:

Actions are visual and sequential (Clean, Join, Output).

Operations are visually displayed in a flow pane.

Users rely heavily on drag-and-drop transformations.

In Power Query:

Transformations are recorded as a series of applied steps using the M language.

Logic is encapsulated within functional scripts.

The interface supports formula-based flexibility.

Step-by-Step Mapping Blueprint

Here’s how developers can strategically cross-map common Tableau Prep components into Power Query steps:

1. Data Input Sources

Tableau Prep: Uses connectors or extracts to pull from databases, Excel, or flat files.

Power Query Equivalent: Use “Get Data” with the appropriate connector (SQL Server, Excel, Web, etc.) and configure using the Navigator pane.

✅ Developer Tip: Ensure all parameters and credentials are migrated securely to avoid broken connections during refresh.

2. Cleaning and Shaping Data

Tableau Prep Actions: Rename fields, remove nulls, change types, etc.

Power Query Steps: Use commands like Table.RenameColumns, Table.SelectRows, and Table.TransformColumnTypes.

✅ Example: Tableau Prep’s “Change Data Type” ↪ Power Query:

mCopy

Edit

Table.TransformColumnTypes(Source,{{"Date", type date}})

3. Joins and Unions

Tableau Prep: Visual Join nodes with configurations (Inner, Left, Right).

Power Query: Use Table.Join or the Merge Queries feature.

✅ Equivalent Code Snippet:

mCopy

Edit

Table.NestedJoin(TableA, {"ID"}, TableB, {"ID"}, "NewColumn", JoinKind.Inner)

4. Calculated Fields / Derived Columns

Tableau Prep: Create Calculated Fields using simple functions or logic.

Power Query: Use “Add Column” > “Custom Column” and M code logic.

✅ Tableau Formula Example: IF [Sales] > 100 THEN "High" ELSE "Low" ↪ Power Query:

mCopy

Edit

if [Sales] > 100 then "High" else "Low"

5. Output to Destination

Tableau Prep: Output to .hyper, Tableau Server, or file.

Power BI: Load to Power BI Data Model or export via Power Query Editor to Excel or CSV.

✅ Developer Note: In Power BI, outputs are loaded to the model; no need for manual exports unless specified.

Best Practices for Developers

Modularize: Break complex Prep flows into multiple Power Query queries to enhance maintainability.

Comment Your Code: Use // to annotate M code for easier debugging and team collaboration.

Use Parameters: Replace hardcoded values with Power BI parameters to improve reusability.

Optimize for Performance: Apply filters early in Power Query to reduce data volume.

Final Thoughts

Migrating from Tableau Prep to Power Query isn’t just a copy-paste process—it requires thoughtful mapping and a clear understanding of both platforms’ paradigms. With this blueprint, developers can preserve logic, reduce data preparation errors, and ensure consistency across systems. Embrace this cross-mapping journey as an opportunity to streamline and modernize your BI workflows.

For more hands-on migration strategies, tools, and support, explore our insights at https://tableautopowerbimigration.com – powered by OfficeSolution.

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How an Data Analytics Course Can Future-Proof Your Career in 2025, 100% Placement in MNC, Data Analyst Training Course in Delhi, 110095 - " Free Python Data Science Course" by SLA Consultants India,

In the rapidly evolving job market of 2025, professionals face constant pressure to adapt and upgrade their skills. Automation, artificial intelligence, and digital transformation are redefining roles across industries, leaving many traditional careers vulnerable. However, one domain that continues to grow in demand and relevance is data analytics.

By enrolling in a specialized Data Analyst Course in Delhi, such as the one offered by SLA Consultants India, professionals can future-proof their careers and thrive in a data-driven world. This program also includes a Free Python Data Science Course and offers 100% placement assistance in MNCs, ensuring long-term career security.

The global business landscape now depends on data for everything—from customer insights and market forecasting to operational efficiency and risk management. This surge in demand for data insights has made data analysts indispensable across sectors such as finance, healthcare, e-commerce, telecom, and logistics. A comprehensive data analytics course prepares individuals with the technical and analytical skills needed to succeed in this environment. SLA Consultants India’s Data Analyst Training Course in Delhi curriculum includes tools like Excel, SQL, Power BI, Tableau, and most importantly, Python, which enable learners to gather, analyze, and interpret large data sets efficiently.

One of the most powerful aspects of this training is the inclusion of a Free Python Data Science Course, which adds significant value. Python is considered a foundational skill for data professionals due to its simplicity, versatility, and application in advanced analytics, automation, and machine learning. By mastering Python, students gain access to more advanced roles, including predictive modeling and artificial intelligence, making their career not just secure, but scalable. This technical edge becomes a strong defense against job redundancy caused by automation or outdated skill sets.

In addition to robust technical training, SLA Consultants India ensures 100% placement in MNCs, which is a major advantage in today’s competitive job market. With the course’s real-time projects, case studies, and interview preparation support, learners are job-ready from day one. Placement in top multinational corporations means access to better salaries, long-term job stability, and opportunities for international exposure. Furthermore, the versatility of data analytics skills means that certified professionals can work across various industries or even choose freelance and remote work options. Data Analyst Training Institute in Delhi

Data Analytics Training Course Module 1 – Basic and Advanced Excel With Dashboard and Excel Analytics Module 2 – VBA / Macros – Automation Reporting, User Form and Dashboard Module 3 – SQL and MS Access – Data Manipulation, Queries, Scripts and Server Connection – MIS and Data Analytics Module 4 – Tableau | MS Power BI BI & Data Visualization Module 5 – Python | R Programing BI & Data Visualization Module 6 – Python Data Science and Machine Learning – 100% Free in Offer – by IIT/NIT Alumni Trainer

In conclusion, a Data Analyst Certification Course in Delhi is one of the smartest investments you can make in 2025 to future-proof your career. The course offered by SLA Consultants India not only equips you with the most in-demand tools like Python, Tableau, and SQL but also ensures real job opportunities through 100% MNC placement support. With the growing importance of data in every field, having expertise in analytics guarantees that your skills will remain relevant, marketable, and resilient—no matter how the job landscape evolves. For more details Call: +91-8700575874 or Email: hr@slaconsultantsindia.com

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Customer Experience Analytics Market Report 2032: Size, Share, Scope, Analysis, and Growth Overview

The Customer Experience Analytics Market was valued at USD 12.43 billion in 2023 and is expected to reach USD 42.29 billion by 2032, growing at a CAGR of 14.61% over the forecast period 2024-2032.

customer experience (CX) as a key differentiator, leading to a surge in demand for customer experience analytics. These analytics tools help organizations gather, interpret, and act upon customer data to enhance satisfaction, retention, and overall engagement. As companies embrace digital transformation, the ability to capture insights across multiple customer touchpoints—from social media and mobile apps to contact centers and websites—has become essential for gaining a competitive edge.

Customer Experience Analytics Market Size, Share, Scope, Analysis, Forecast, Growth, and Industry Report 2032 reveals that the market is experiencing robust growth due to the rising need for personalized customer interactions, real-time feedback systems, and performance measurement tools. Organizations across industries, including retail, banking, healthcare, telecom, and e-commerce, are turning to advanced analytics platforms powered by AI, machine learning, and natural language processing to better understand customer sentiment, preferences, and behaviors.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5507 

Market Keyplayers:

Alteryx (Alteryx Designer, Alteryx Server)

SAS (SAS Viya, SAS Customer Intelligence)

Qlik (Qlik Sense, QlikView)

Splunk (Splunk Enterprise, Splunk Cloud)

Teradata (Teradata Vantage, Teradata IntelliCloud)

MicroStrategy (MicroStrategy Analytics, MicroStrategy Cloud)

Domo (Domo Business Cloud, Domo Data Science)

Sisense (Sisense Fusion, Sisense for Cloud Data Teams)

ThoughtSpot (ThoughtSpot Analytics, ThoughtSpot Cloud)

Tableau (Tableau Desktop, Tableau Server)

Microsoft Power BI (Power BI Desktop, Power BI Pro)

Salesforce (Salesforce Service Cloud, Salesforce Marketing Cloud)

Zendesk (Zendesk Support, Zendesk Chat)

HubSpot (HubSpot Service Hub, HubSpot Marketing Hub)

Freshworks (Freshdesk, Freshchat)

Zoho (Zoho Analytics, Zoho CRM)

Oracle (Oracle CX Cloud, Oracle Service Cloud)

Adobe (Adobe Experience Cloud, Adobe Analytics)

IBM (IBM Watson Analytics, IBM Customer Experience Analytics)

SAP (SAP Customer Experience, SAP Analytics Cloud)

Trends

Several trends are shaping the customer experience analytics market, reflecting a broader shift toward digital-first engagement and intelligent automation.

AI and Machine Learning Integration: The use of AI-powered analytics is becoming mainstream, enabling predictive modeling, customer segmentation, and automated insights that help businesses tailor experiences to individual users.

Omnichannel Experience Monitoring: Companies are moving toward a unified view of customer interactions across channels. Tools that consolidate data from email, chat, phone calls, and in-person interactions into a single dashboard are gaining traction.

Sentiment and Emotion Analysis: Advanced text and speech analytics can now detect not just what customers say, but how they feel, giving brands deeper insights into emotional drivers behind customer behavior.

Cloud-Based Solutions: The adoption of cloud-based platforms is rising due to their scalability, lower operational costs, and ability to deliver insights in real-time. This has become particularly important in remote and hybrid work environments.

Data Privacy and Compliance: With global regulations such as GDPR and CCPA, analytics platforms are focusing on privacy-first designs that ensure data is collected and used responsibly, building trust with customers.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5507 

Market Segmentation:

By Touch Point

Company Website

Branch

Call Center

Web

By Solution

Data Management

Social Media Analytical Tools

Voice Of Customer

Web Analytical Tools

Dashboard & Reporting

By Industry Vertical

BFSI

Healthcare

Manufacturing

IT Communication Service Provider

Travel & Hospitality

Market Analysis

North America currently holds the largest market share due to its early adoption of advanced digital technologies and a strong presence of leading analytics solution providers. Europe and Asia-Pacific are also witnessing significant growth, driven by increasing digital penetration, rising customer expectations, and expanding e-commerce sectors.

Key players in the market are focusing on strategic partnerships, acquisitions, and product innovations to enhance their analytics capabilities. Investments in AI and big data infrastructure are enabling companies to scale their analytics functions and improve decision-making. The market is highly competitive, with companies like Adobe, Salesforce, IBM, Oracle, and NICE Ltd. playing dominant roles by offering comprehensive CX analytics suites.

Despite the strong growth trajectory, challenges such as data integration complexities, skills shortages, and the need for real-time analysis across large data volumes remain. However, organizations are increasingly overcoming these hurdles through automation, cloud infrastructure, and vendor support.

Future Prospects

The future of the customer experience analytics market looks promising, with ongoing advancements in technology expected to unlock even deeper customer insights.

Hyper-Personalization at Scale: As analytics tools become more sophisticated, businesses will be able to deliver hyper-personalized experiences across customer journeys, significantly improving engagement and conversion rates.

Real-Time Decision Engines: Integration with CRM and marketing automation platforms will allow for on-the-fly adjustments to customer interactions based on evolving behavior and context.

Voice of the Customer (VoC) Expansion: VoC programs will evolve with more emphasis on integrating structured and unstructured data, providing a holistic view of customer sentiment across all touchpoints.

Self-Service and Democratization of Analytics: As platforms become more user-friendly, non-technical teams like marketing, customer service, and product development will be able to access and act on analytics insights directly, speeding up the response cycle.

Growing Use of Predictive and Prescriptive Analytics: Moving beyond descriptive metrics, companies will increasingly rely on analytics tools that not only tell them what happened and why, but also what to do next.

Access Complete Report: https://www.snsinsider.com/reports/customer-experience-analytics-market-5507 

Conclusion

The customer experience analytics market is entering a new phase of innovation and adoption, driven by the need for data-driven decision-making and elevated customer expectations. As businesses continue to prioritize customer-centric strategies, investment in advanced analytics solutions will be critical to delivering personalized, meaningful, and seamless experiences.

With the integration of AI, cloud computing, and real-time data processing, the market is set to evolve rapidly over the next decade. Companies that embrace these tools and align them with their broader CX goals will not only enhance customer loyalty but also unlock substantial business value in an increasingly competitive digital landscape.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

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A Comprehensive Learning Path to Tableau in 2025

Tableau has grown to be an extremely effective and widely-used software for data visualization, helping professionals and businesses transform raw data into useful insights. If you're a novice or a seasoned data analyst getting the most out of Tableau by 2025 requires a systematic approach to learning. This guide will guide you through step-by-step method to help you build proficiency in Tableau efficiently.

Why Learn Tableau in 2025?

Before we get started on the path to learning first, let's look at the reasons Tableau remains the most popular option for data visualization into 2025:

A User-Friendly Interface if they don't have the ability to code users can design interactive dashboards quickly.

Integration with various data sources Supports multiple databases, cloud services as well as spreadsheets.

A high demand in the job market Tableau abilities are sought-after in sectors like healthcare, finance as well as marketing.

AI as well as Automation features: automated tools and AI driven insights can make analysis more efficient and faster.

Now, let's look at the steps-by-step method to master Tableau in 2025.

Step 1: Understanding the Basics of Data Visualization

Before you dive into Tableau it's important to know the basics for data visualization. Some of the most fundamental concepts are:

The importance of telling stories using data.

Chart types and how to make use of charts and when to use.

Best practices for dashboard design.

Recommended Resources:

The Books "Storytelling with Data" by Cole Nussbaumer Knaflic.

Courses such as Data Visualization classes are available through Coursera as well as Udemy.

Step 2: Starting using Tableau

Install and Explore Tableau

Download Tableau Public (free) or Tableau Desktop (paid).

Get familiar using the Tableau interface which includes the menus, workspace and the toolbar.

Learn the basics of operations like dropping and dragging data, creating basic charts, and implementing filters.

Key Topics to Cover:

Connecting to various data sources.

Understanding dimensions vs. measures.

Making basic visualizations such as line graphs, bar charts or scatter plots.

Step 3: Building Intermediate Skills

Once you're confident working with basic features, you can begin exploring advanced features:

Calculated Fields: Discover to design custom calculations to alter data.

Parameters allow people to connect with dashboards in a dynamic manner.

Hierarchies and Filters: Increase the usability of dashboards by using interactive filters.

Tableau Functions: Know the logic, date and string functions to help improve the data manipulation.

During this phase, enrolling in a Tableau Course can provide structured learning and hands-on exercises to reinforce your skills.

Practice Resources:

Official Tableau eLearning platform.

Hands-on exercises on Tableau Public Gallery.

Step 4: Mastering Advanced Features

To advance your Tableau abilities beyond the finish line, concentrate on:

Tableau Prep: Learn to prepare and clean information efficiently.

LOD (Level of Detail) Expressions: Gain greater control over the data granularity.

Combining or Joins Mix data from a variety of sources efficiently.

Advanced Charts master waterfall charts, bullet graphs along with heat maps.

Storytelling using Dashboards Utilize the animations as well as navigational buttons to improve the user experience.

Step 5: Exploring Tableau Server & Tableau Online

For those who work as part of a team or organization for whom the ability to master Tableau Server along with Tableau Online is essential:

Publishing dashboards securely.

Controlling access and permissions.

Working together on reports.

Step 6: Getting Hands-on Experience

The most effective way to learn is to put your learning into practice:

Take part to participate in Makeover Tuesday challenges.

Create real-world projects with public datasets.

Join the Tableau Community Forums or get advice from experts.

Step 7: Preparing for Tableau Certification

If you are looking to prove your knowledge, think about the Tableau certification exam:

Tableau Desktop Specialist (Beginner Level)

Tableau Certified Data Analyst (Intermediate Level)

Tableau Desktop Certified Professional (Advanced Level)

These credentials can improve your career prospects and show your knowledge to prospective employers.

Step 8: Stay Up-to-date with Tableau Trends

Tableau is constantly evolving with new features and updates. To stay ahead:

Visit the official website of Tableau.

Participate in Tableau Conference and user group gatherings.

Connect to LinkedIn Groups and Online communities.

Final Thoughts

The ability to master Tableau in 2025 could provide you with amazing career options in the field of data analytics and business intelligence. If you follow this planned learning process in regular practice, as well as keeping up-to-date with the latest trends, you will be an Tableau professional and use data visualization to make impactful decisions.