#Cloud-based Analytics

[davaaron]

Oracle Cloud Analytics

Unlock the Power of Oracle Cloud Analytics for Business Success

Oracle Cloud Analytics offers powerful tools to enhance decision-making and data analysis. By leveraging real-time insights, your business can stay ahead of the competition. Discover how Oracle Cloud Analytics can empower your team to make smarter, data-driven decisions.

For more details click : Oracle Cloud Analytics

[ourjobagency]

Unleashing the Potential: 6 Reasons to Switch Your Business from Cognos to Power BI | QR Solutions

In this blog, we’ll explore six compelling reasons why your business should consider making the switch from Cognos to Power BI.

To Know More Visit Us:

[parkomax]

Smart Parking Management Software | Parkomax Streamline your parking operations with Parkomax's advanced parking management software. Real-time monitoring, automated access, and seamless reporting in one platform.

[nikhilvaidyahrc]

Top Certifications That Can Land You a Job in Tech

Published by Prism HRC – Leading IT Recruitment Agency in Mumbai

Breaking into the tech industry doesn’t always require a degree. With the rise of online learning and skill-based hiring, certifications have become the new ticket into some of the highest-paying and most in-demand jobs. Whether you're switching careers or upskilling to stay ahead, the right certification can boost your credibility and fast-track your job search.

Why Certifications Matter in Tech

Tech employers today are less focused on your college background and more interested in what you can actually do. Certifications show you're committed, skilled, and up-to-date with industry trends a huge plus in a fast-moving field like IT.

Let’s explore the top certifications in 2025 that are actually helping people land real tech jobs.

1. Google IT Support Professional Certificate

Perfect for: Beginners starting in tech or IT support This beginner-friendly course, offered through Coursera, teaches you everything from troubleshooting to networking. It’s backed by Google and respected across the industry.

Tip: It’s also a great way to pivot into other IT roles, including cybersecurity and network administration.

2. AWS Certified Solutions Architect – Associate

Perfect for: Cloud engineers, DevOps aspirants With cloud computing continuing to explode in 2025, AWS skills are hotter than ever. This cert proves you know how to design secure, scalable systems on the world’s most popular cloud platform.

Real Edge: Many employers prioritize candidates with AWS experience even over degree holders.

3. Microsoft Certified: Azure Fundamentals

Perfect for: Beginners interested in Microsoft cloud tools Azure is a close second to AWS in the cloud market. If you’re looking for a job at a company that uses Microsoft services, this foundational cert gives you a leg up.

4. CompTIA Security+

Perfect for: Cybersecurity beginners If you're aiming for a job in cybersecurity, this is often the first certification employers look for. It covers basic network security, risk management, and compliance.

Why it matters: As cyber threats grow, demand for cybersecurity professionals is rising rapidly.

5. Google Data Analytics Professional Certificate

Perfect for: Aspiring data analysts This course teaches data analysis, spreadsheets, SQL, Tableau, and more. It’s beginner-friendly and widely accepted by tech companies looking for entry-level analysts.

Industry Insight: Data skills are now essential across tech, not just for analysts, but for marketers, product managers, and more.

6. Certified ScrumMaster (CSM)

Perfect for: Project managers, product managers, team leads Tech teams often use Agile frameworks like Scrum. This certification helps you break into roles where communication, leadership, and sprint planning are key.

7. Cisco Certified Network Associate (CCNA)

Perfect for: Network engineers, IT support, and infrastructure roles If you’re into hardware, routers, switches, and network troubleshooting, this foundational cert is gold.

Why it helps: Many entry-level IT jobs prefer CCNA holders over generalists.

8. Meta (Facebook) Front-End Developer Certificate

Perfect for: Front-end developers and web designers This cert teaches HTML, CSS, React, and design systems. It’s hands-on and offered via Coursera in partnership with Meta.

The bonus? You also get portfolio projects to show in interviews.

How to Choose the Right Certification

Match it to your career goal – Don't do a cert just because it’s popular. Focus on the role you want.

Check job listings – Look at what certifications are frequently mentioned.

Time vs Value – Some certs take weeks, others months. Make sure the ROI is worth it.

- Based in Gorai-2, Borivali West, Mumbai - www.prismhrc.com - Instagram: @jobssimplified - LinkedIn: Prism HRC

[websyn]

Streamline Your Workflow with Microsoft 365 Suite Deployment Services in 2025

In today’s fast-paced business environment, achieving efficiency and seamless collaboration is critical to staying ahead. The Microsoft 365 Suite offers a comprehensive range of tools designed to streamline workflows, enhance productivity, and foster better communication. However, to unlock its full potential, businesses need tailored deployment services that align with their specific goals and operational requirements.

Why Microsoft 365 Suite is Essential in 2025

Unified Communication and Collaboration Microsoft Teams, SharePoint, and Outlook provide integrated platforms that support real-time communication, file sharing, and collaboration across teams—whether they’re in the same office or dispersed globally.

Enhanced Productivity with AI and Automation Tools like Microsoft Viva and Power Automate bring AI-driven insights and automation capabilities, enabling businesses to reduce manual tasks and focus on strategic initiatives.

Scalable and Secure Solutions With advanced security features and compliance tools, Microsoft 365 ensures businesses can scale their operations confidently while safeguarding sensitive data.

Flexibility for Hybrid Work Models The suite’s cloud-based architecture empowers employees to work from anywhere, ensuring a seamless transition between remote and on-site operations.

The Importance of Professional Deployment Services

While Microsoft 365 offers robust features, implementing it effectively can be challenging without expert guidance. Professional deployment services are crucial for:

Customised Solutions: Tailoring the suite’s features to your business’s unique needs ensures maximum ROI.

Efficient Migration: Migrating data from legacy systems with minimal disruption requires technical expertise.

Training and Support: Ensuring your teams are equipped to leverage the suite effectively enhances adoption rates.

Ongoing Optimisation: Regular assessments and updates keep your systems aligned with evolving business objectives.

Addressing Modern Business Challenges

Reducing Silos By integrating tools like Teams, OneDrive, and Planner, organisations can eliminate data silos and promote cross-departmental collaboration.

Improving Decision-Making Power BI within Microsoft 365 provides actionable insights through real-time analytics, enabling leaders to make informed decisions swiftly.

Boosting Employee Engagement Features like Viva Insights prioritise employee well-being and productivity, helping organisations retain top talent.

Key Considerations for Microsoft 365 Deployment

Assess Your Business Needs: Understand your current challenges and how Microsoft 365 can address them.

Plan for Change Management: Foster a culture of adaptability to ensure smooth adoption.

Focus on Security: Leverage tools like Microsoft Defender to mitigate cybersecurity risks.

Partner with Experts: Collaborate with experienced providers to ensure a seamless deployment process.

Conclusion

Microsoft 365 Suite is not just a productivity tool; it’s a strategic asset for driving innovation and efficiency in 2025. By partnering with a trusted deployment service provider, businesses can ensure a smooth transition, empowering their teams to achieve more while staying agile in a competitive landscape.

Ready to revolutionise your workflow? Explore how Microsoft 365 Suite deployment can transform your business today.

[jcmarchi]

The Most Dangerous Data Blind Spots in Healthcare and How to Successfully Fix Them

New Post has been published on https://thedigitalinsider.com/the-most-dangerous-data-blind-spots-in-healthcare-and-how-to-successfully-fix-them/

The Most Dangerous Data Blind Spots in Healthcare and How to Successfully Fix Them

Data continues to be a significant sore spot for the healthcare industry, with increasing security breaches, cumbersome systems, and data redundancies undermining the quality of care delivered.

Adding to the pressure, the US Department of Health and Human Services (HSS) is set to introduce more stringent regulations around interoperability and handling of electronic health records (EHRs), with transparency a top priority.

However, it’s clear that technology has played a crucial role in streamlining and organizing information-sharing in the industry, which is a significant advantage when outstanding services heavily rely on speed and accuracy.

Healthcare organizations have been turning to emerging technologies to alleviate growing pressures, which could possibly save them $360 billion annually. In fact, 85% of companies are investing or planning to invest in AI to streamline operations and reduce delays in patient care. Technology is cited as a top strategic priority in healthcare for 56% of companies versus 34% in 2022, according to insights from Bain & Company and KLAS Research.

Yet there are a number of factors healthcare providers should be mindful of when looking to deploy advanced technology, especially considering that AI solutions are only as good as the information used to train them.

Let’s take a look at the biggest data pain points in healthcare and technology’s role in alleviating them.

Enormous Amounts of Data

It’s no secret that healthcare organizations have to deal with a massive amount of data, and it’s only growing in size: By next year, healthcare data is expected to hit 10 trillion gigabytes.

The sheer volume of data that needs to be stored is a driving force behind cloud storage popularity, although this isn’t a problem-free answer, especially when it comes to security and interoperability. That’s why 69% of healthcare organizations prefer localized cloud storage (i.e., private clouds on-premises).

However, this can easily become challenging to manage for a number of reasons. In particular, this huge amount of data has to be stored for years in order to be HHS-compliant.

AI is helping providers tackle this challenge by automating processes that are otherwise resource-exhaustive in terms of manpower and time. There are a plethora of solutions on the market designed to ease data management, whether that’s in the form of tracking patient data via machine learning integrations with big data analytics or utilizing generative AI to speed up diagnostics.

For AI to do its job well, organizations must ensure they’re keeping their digital ecosystems as interoperable as possible to minimize disruptions in data exchanges that have devastating repercussions for their patients’ well-being.

Moreover, it’s crucial that these solutions are scalable according to an organization’s fluctuating needs in terms of performance and processing capabilities. Upgrading and replacing solutions because they fail to scale is a time-consuming and expensive process that few healthcare providers can afford. That’s because it means further training, realigning processes, and ensuring interoperability hasn’t been compromised with the introduction of a new technology.

Data Redundancies

With all that data to manage and track, it’s no surprise that things slip through the cracks, and in an industry where lives are on the line, data redundancies are a worst-case scenario that only serves to undermine the quality of patient care. Shockingly, 24% of patient records are duplicates, and this challenge is worsened when consolidating information across multiple electronic medical records (EMR).

AI has a big role to play in handling data redundancies, helping companies streamline operations and minimize data errors. Automation solutions are especially useful in this context, speeding up data entry processes in Health Information Management Systems (HIMS), lowering the risk of human error in creating and maintaining more accurate EHRs, and slashing risks of duplicated or incorrect information.

However, these solutions aren’t always flawless, and organizations need to prioritize fault tolerance when integrating them into their systems. It’s vital to have certain measures in place so that when a component fails, the software can continue functioning properly.

Key mechanisms of fault tolerance include guaranteed delivery of data and information in instances of system failure, data backup and recovery, load balancing across multiple workflows, and redundancy management.

This essentially ensures that the wheels keep turning until a system administrator is available to manually address the problem and prevent disruptions from bringing the entire system to a screeching halt. Fault tolerance is a great feature to look out for when selecting a solution, so it can help narrow down the product search for healthcare organizations.

Additionally, it’s crucial for organizations to make sure they’ve got the right framework in place for redundancy and error occurrences. That’s where data modeling comes in as it helps organizations map out requirements and data processes to maximize success.

A word of caution though: building the best data models entails analyzing all the optional information derived from pre-existing data. That’s because this enables the accurate identification of a patient and delivers timely and relevant information about them for swift, insight-driven intervention. An added bonus of data modeling is that it’s easier to pinpoint APIs and curate these for automatically filtering and addressing redundancies like data duplications.

Fragmented and Siloed Data

We know there are a lot of moving parts in data management, but compound this with the high-paced nature of healthcare and it’s easily a recipe for disaster. Data silos are among the most dangerous blind spots in this industry, and in life-or-death situations where practitioners aren’t able to access a complete picture of a patient’s record, the consequences are beyond catastrophic.

While AI and technology are helping organizations manage and process data, integrating a bunch of APIs and new software isn’t always smooth sailing, particularly if it requires outsourcing help whenever a new change or update is made. Interoperability and usability are at the crux of maximizing technology’s role in healthcare data handling and should be prioritized by organizations.

Most platforms are developer-centric, involving high levels of coding with complex tools that are beyond most people’s skill sets. This limits the changes that can be made within a system and means that every time an organization wants to make an update, they have to outsource a trained developer.

That’s a significant headache for people operating in an industry that really can’t sacrifice more time and energy to needlessly complicated processes. Technology should facilitate instant action, not hinder it, which is why healthcare providers and organizations need to opt for solutions that can be rapidly and seamlessly integrated into their existing digital ecosystem.

What to Look for in a Solution

Opt for platforms that can be templatized so they can be imported and implemented easily without having to build and write complex code from scratch, like Enterprise Integration Platform as a Service (EiPaaS) solutions. Specifically, these services use drag-and-drop features that are user-friendly so that changes can be made without the need to code.

This means that because they’re so easy to use, they democratize access for continuous efficiency so team members from across departments can implement changes without fear of causing massive disruptions.

Another vital consideration is auditing, which helps providers ensure they’re maintaining accountability and consistently connecting the dots so data doesn’t go missing. Actions like tracking transactions, logging data transformations, documenting system interactions, monitoring security controls, measuring performance, and flagging failure points should be non-negotiable for tackling these data challenges.

In fact, audit trails serve to set organizations up for continuous success in data management. Not only do they strengthen the safety of a system to ensure better data handling, but they are also valuable for enhancing business logic so operations and process workflows are as airtight as possible.

Audit trails also empower teams to be as proactive and alert as possible and to keep abreast of data in terms of where it comes from, when it was logged, and where it is sent. This bolsters the bottom line of accountability in the entire processing stage to minimize the risk of errors in data handling as much as possible.

The best healthcare solutions are designed to cover all bases in data management, so no stone is left unturned. AI isn’t perfect, but keeping these risks and opportunities in mind will help providers make the most of it in the healthcare landscape.

[trayoungvis]

6 ways to improve front desk operations in a hotel

Implement a User-Friendly Property Management System (PMS)

Investing in a robust, user-friendly PMS can streamline many front desk functions, allowing for quicker guest check-ins and check-outs, and simplifying task management for staff. The right PMS can also automate functions like billing, housekeeping updates, and guest profile management, ensuring that information is centralized and accessible. With integrated technology, front desk staff can access real-time data and focus more on engaging with guests rather than juggling paperwork.

Example: Hotels can use cloud-based PMS solutions that integrate with mobile devices, enabling staff to manage bookings, room assignments, and other guest requests on-the-go. This type of flexibility can enhance the guest experience and make the front desk operation more agile.

Enhance Staff Training and Development

A knowledgeable and friendly front desk team is essential for smooth operations and creating positive guest experiences. Training programs should include customer service techniques, conflict resolution, cultural sensitivity, and technology skills to ensure that staff can handle a wide range of scenarios. By investing in ongoing training and development, hotels can empower front desk agents to respond confidently and professionally to any guest need.

Example: Implementing customer service role-playing sessions or workshops on handling difficult situations helps front desk staff feel more prepared and confident in high-pressure situations. This leads to quicker resolution of guest issues and enhances the overall service quality.

Leverage Mobile Check-In and Check-Out Options

Offering mobile check-in and check-out options can greatly improve convenience for guests, especially those who value minimal contact or are on tight schedules. With these digital options, guests can skip the line, access their room with digital keys, and receive important information directly on their mobile devices. This not only speeds up the process but also reduces wait times at the front desk, allowing staff to focus on more personalized interactions with guests.

Example: Hotels that allow guests to check in through an app or kiosk help reduce lobby congestion during peak hours, providing a smoother arrival experience. Mobile check-out also enables guests to settle their bills quickly and leave feedback immediately, fostering a positive and seamless end to their stay.

Create a Well-Organized and Efficient Workspace

Organization is key to smooth front desk operations. A clutter-free, well-designed workspace helps front desk staff access essential tools and information quickly, allowing them to serve guests efficiently. Organized storage, a clear filing system, and ergonomic workstation setups can reduce unnecessary steps and help staff focus on guest engagement rather than searching for items.

Example: Organizing desk drawers with labeled sections for different forms, supplies, and guest essentials can speed up routine tasks. Hotels could also use digital filing systems to eliminate paperwork, making it easier to retrieve guest data and reducing physical clutter.

Use Data Analytics for Forecasting and Staff Allocation

Data analytics can play a significant role in optimizing front desk operations. By analyzing guest flow patterns, seasonal demand, and peak hours, hotels can better predict staffing needs and ensure that they have adequate coverage. This approach prevents both overstaffing and understaffing, ensuring that guests receive timely service without additional operational costs.

Example: With data insights, front desk managers can allocate more staff during weekends, holidays, or major events when guest traffic is higher. During low-occupancy periods, they can redistribute front desk staff to other areas of the hotel, optimizing labor costs and efficiency.

Encourage Personalized Service and Attention to Detail

Personalized service can leave a lasting impression on guests and set a hotel apart from its competitors. Simple gestures, like addressing guests by name, remembering their preferences, or accommodating special requests, can enhance guest satisfaction. Front desk teams can leverage guest data from CRM systems to tailor their service approach, creating an experience that feels unique and memorable.

Example: If a guest is a returning visitor who previously requested extra pillows or specific room amenities, front desk staff can proactively arrange these before their arrival. Such attention to detail shows the guest that their preferences are valued and remembered.

Conclusion An efficient front desk operation is essential for a hotel’s success and guest satisfaction. By adopting advanced technology, continuously training staff, organizing the workspace, using data analytics for decision-making, and personalizing guest interactions, hotels can significantly enhance their front desk operations. These improvements lead to smoother guest experiences, higher retention rates, and a stronger brand reputation.

Additional Tips for Optimizing Front Desk Operations

Offer Multi-language Support: Having multilingual staff or digital translation tools can enhance communication with international guests.

Automate Routine Tasks: Automated notifications for housekeeping, maintenance, or guest requests can streamline coordination among departments.

Implement Guest Feedback Systems: Encourage guests to provide feedback during check-out, which can help the hotel address issues immediately and improve service.

[focussoftnetpvtltd]

Revolutionizing Warehouse Management with AI-Driven Inventory Analytics

In today's fast-paced supply chain landscape, staying ahead of inventory challenges is essential for maintaining operational efficiency and meeting customer demands. Warehouse Management Systems (WMS) equipped with AI-driven inventory analytics offer a game-changing solution to optimize stock levels, reduce costs, and boost overall performance. 

What is AI-driven Inventory Analytics? 

AI-driven inventory analytics integrates machine learning and advanced algorithms into your WMS, enabling real-time insights into inventory patterns, trends, and demands. Unlike traditional systems, AI-powered tools continuously learn and adapt, providing accurate forecasts and actionable recommendations tailored to your unique operational needs. 

Benefits of AI in WMS 

1. Enhanced Forecasting Accuracy 

AI analyzes historical sales data, market trends, and external factors like seasonality or economic shifts to predict future inventory needs. This prevents overstocking or understocking, ensuring optimal inventory levels. 

2. Real-time Visibility 

With AI-driven insights, managers gain real-time visibility into stock locations, movement, and conditions. This transparency improves decision-making and reduces the risk of delays or stockouts. 

3. Cost Savings Through Optimization 

AI identifies inefficiencies in storage layouts, replenishment cycles, and shipping processes. By streamlining these areas, warehouses can minimize operational costs and maximize space utilization. 

4. Improved Demand Planning 

AI helps anticipate changes in demand, such as seasonal peaks or sudden market shifts. This allows businesses to adjust inventory levels proactively, avoiding disruptions in supply chains. 

5. Risk Mitigation 

AI algorithms can identify potential risks like product obsolescence, supplier delays, or transportation bottlenecks. Addressing these issues before they escalate ensures smooth warehouse operations. 

Key Features of AI-powered WMS 

Automated Replenishment: Ensures stock levels are maintained by predicting when and how much to restock. 

Intelligent Slotting: Optimizes inventory placement based on demand frequency and movement patterns, reducing picking time. 

Predictive Analytics: Provides insights into future inventory needs, helping to plan for contingencies. 

Anomaly Detection: Identifies discrepancies or irregularities in inventory data to prevent losses. 

Integration with IoT: AI-driven systems work seamlessly with IoT devices for real-time tracking and monitoring. 

Use Cases of AI in WMS 

E-commerce: Managing high-volume orders with precision during peak seasons like Black Friday. 

Retail: Ensuring optimal stock levels across multiple locations based on regional demands. 

Manufacturing: Synchronizing raw material inventories with production schedules for just-in-time manufacturing. 

Healthcare: Monitoring sensitive inventory, such as pharmaceuticals, for compliance and safety. 

How to Implement AI-driven Inventory Analytics 

Assess Your Current WMS: Evaluate if your existing system supports AI integration or if an upgrade is necessary. 

Define Objectives: Determine specific goals, such as reducing costs, improving order accuracy, or enhancing forecasting. 

Choose the Right AI Partner: Select a vendor with expertise in AI-driven inventory solutions tailored to your industry. 

Train Your Team: Educate staff on leveraging AI insights for decision-making and operational improvements. 

Monitor and Adjust: Continuously refine your AI model with new data to improve accuracy and effectiveness. 

Conclusion 

AI-driven inventory analytics is transforming the way warehouses operate, empowering businesses to achieve greater efficiency, accuracy, and agility. By adopting an AI-powered WMS, companies can stay competitive in an increasingly dynamic market while delivering superior service to their customers. 

Ready to revolutionize your warehouse operations? Embrace the future of inventory management with AI today! 

[aarunresearcher]

United States insurance analytics market size reached USD 15.4 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 59.8 Billion by 2033, exhibiting a growth rate (CAGR) of 15.99% during 2025-2033​.

[ahalts]

Top Trends Shaping the Future of HRMS Technology

The future of HRMS technology is being shaped by several key trends transforming how organizations manage their human resources. AI and machine learning play a significant role in automating recruitment, employee engagement, and performance evaluation processes. Cloud-based HRMS solutions are becoming increasingly popular due to their scalability, accessibility, and cost-effectiveness. Additionally, integrating advanced analytics allows HR teams to make data-driven decisions regarding employee retention, productivity, and workforce planning. The growing focus on employee experience is driving the inclusion of self-service portals, mobile apps, and wellness programs within HRMS platforms. As data privacy concerns rise, enhanced security measures are also becoming a priority in HRMS technology development.

More info: https://ahalts.com/solutions/hr-services

[ajmishra]

Dominating the Market with Cloud Power

Explore how leveraging cloud technology can help businesses dominate the market. Learn how cloud power boosts scalability, reduces costs, enhances innovation, and provides a competitive edge in today's digital landscape. Visit now to read more: Dominating the Market with Cloud Power

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AI-POWERED FLEET MANAGEMENT

🚗 Fleetblox Cloud Garage is compatible with 43 car makes, seamlessly connecting to over 177 million vehicles through a single platform. 🌍 With global coverage across North America and Europe, our advanced AI-driven solution 🤖 optimizes fleet management, ensuring maximum operational efficiency ⚙️ and streamlined performance—all in …

[alwajeeztech]

Stock Position Report

https://alzerp.com/kb/docs/current-stock/

ALZERP’s Stock Position Report provides a real-time snapshot of inventory levels across different product categories and store locations. By offering flexible filtering options, including zero stock and sales quantity inclusion, businesses can gain valuable insights into their stock health. This data-driven report empowers informed decision-making regarding replenishment, stock optimization, and preventing stockouts. With options to export or print, the report ensures easy accessibility and sharing of inventory information.

Key Features:

Date Selection: Choose the date for which you want to generate the stock position report.

Product Filtering: Filter products by category and store location.

Zero Stock Inclusion: Option to include or exclude items with zero stock.

Sales Quantity Inclusion: Option to include sales quantity within the specified date range.

Report Format: Displays product name, quantity, and unit of measurement for each item.

Grouping: Organizes the report by warehouse for better visibility.

Export and Print: Allows exporting the report as a PDF or printing it for physical records.