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Simplify SQL Queries with the OVER Clause
Introduction Have you ever written a complex SQL query that used window functions like ROW_NUMBER(), RANK(), SUM(), or AVG()? If so, you know how tricky it can be to get the syntax just right. Luckily, SQL Server provides a handy feature called the OVER clause that makes these types of queries much simpler to write and understand. In this article, Iâll explain what the OVER clause does and showâŚ
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On the subject of AI...
Okay so, I have been seeing more and more stuff related to AI-generated art recently so Iâm gonna make my stance clear:
I am strongly against generative AI. I do not condone its usage personally, professionally, or in any other context.
More serious take under the cut, I am passionate about this subject:
So, first thingâs first, Iâll get my qualifications out of the way: BSc (Hons) Computer Science with a specialty in Artificial Intelligence systems and Data Security and Governance. I wrote my thesis, and did multiple R&D-style papers, on the subject. On the lower end I also have (I think the equivalent is an associateâs?) qualifications in art and IT systems. Iâm not normally the type to pull the âwell actually đ¤âď¸â card but, I'm laying some groundwork here to establish that I am heavily involved in the fields this subject relates to, both academically and professionally.
So what is 'AI' in this context?
Nowadays when someone says âAIâ, theyâre most likely talking about Generative Artificial Intelligence â itâs a subtype of AI system that is used, primarily, to produce images, text, videos, and other media formats (thus, generative).Â
By this point, weâve all heard of the likes of ChatGPT, Midjourney, etc â you get the idea. These are generative AI systems used to create the above mentioned content types.Â
Now, you might be inclined to think things such as:
âWell, isnât that a good thing? Creating stuff just got a whole lot easier!âÂ
âI struggle to draw [for xyz reason], so this is a really useful toolâ
âIâm not an artist, so itâs nice to be able to have something that makes things how I want them to lookâ
No, itâs not a good thing, and Iâll tell you exactly why.
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What makes genAI so bad?
Thereâs a few reasons that slate AI as condemnable, and Iâll do my best to cover them here as concisely as I reasonably can. Some of these issues are, admittedly, hypothetical in nature â the fact of the matter is, this is a technology that has come to rise faster than people and legislature (law) can even keep up with.Â
Stealing Is Bad, Mâkay?
Now youâre probably thinking, hold on, where does theft come into this? So, allow me to explain.
Generative AI systems are able to output the things that they do because first and foremost, theyâre âtrainedâ: fed lots and lots of data, so that when itâs queried with specific parameters, the result is media generated to specification. Most people understand this bit â I mean, a lot of us have screwed around with ChatGPT once or twice. I won't lie and say I haven't, because I have. Mainly for research purposes, but still. (The above is a massive simplification of the matter, because I ain't here to teach you at a university level)
Now, give some thought to where exactly that training data comes from.Â
Typically, this data is sourced from the web; droves of information are systematically scraped from just about every publicly available domain available on the internet, whether that be photographs someone took, art, music, writingâŚthe list goes on. Now, Iâll underline the core of this issue nice and clearly so you get the point Iâm making:
Itâs not your work.
Nor does it belong to the people responsible for these systems; untold numbers of people have had their content - potentially personal content, copyrighted content - taken and used for data training. Think about it â one person having their stuff stolen and reused is bad, right? Now imagine youâve got a whole bunch of someones who are having their stuff taken, likely without them even knowing about it, and well â thatâs, obviously, very bad. Which sets up a great segue into the next point:
Potential Legislation Issues
For the sake of readability, Iâll try not to dive too deep into legalese here. In short â because of the inherent nature of genAI (that is, the taking-and-using of potentially private and licensed material), there may come a time where this poses a very real legal issue in terms of usage rights.
At the time of writing, legislation hasnât caught up â there aren't any ratified laws that state how, and where, big AI systems such as ChatGPT can and cannot source training data. Many arguments could be made that the scope and nature of these systems practically divorces generated content from its source material, however many do not agree with this sentiment; in fact, there have been some instances of people seeking legal action due to perceived copyright infringement and material reuse without fair compensation.
It might not be in violation of laws on paper right now, but it certainly violates the spirit of these laws â laws that are designed to protect the works of creatives the world over.Â
AI Is Trash, And Itâs Getting Trashier
Woah woah woah, I thought this was a factual document, not an opinion piece!
Fair. Iâd be a liar if I said it wasnât partly rooted in opinion, but hereâs the fact: genAI is, objectively, getting worse. I could get really technical with the why portion, but Iâm not rewriting my thesis here, so Iâll put it as simply as possible:
AI gets trained on Internet Stuff. AI is dubiously correct at best because of how it aggregates data (that is, from everywhere, even the factually-incorrect places)
People use AI to make stuff. They take this stuff at face value, and they donât sanity check it against actual trusted sources of information (or a dictionary. Or an anatomy textbook)
People put that stuff back on the internet, be it in the form of images, written statements, "artwork", etc
Loop back to step 1
In the field of Artificial Intelligence this is sometimes called a runaway feedback loop: itâs the mother of all feedback loops that results in aggregated information getting more and more horrifically incorrect, inaccurate, and poorly put-together over time. Everything from facts to grammar, to that poor anime characterâs sixth and seventh fingers â nothing gets spared, because there comes a point where these systems are being trained on their own outputs.
I somewhat affectionately refer to this as âinformational inbreedingâ; it is becoming the pug of the digital landscape, buggled eyes and all.
Now I will note, runaway feedback loops are typically referencing algorithmic bias - but if I'm being honest, it's an apt descriptor for what's happening here too.
This trend will, inevitably, continue to get worse over time; the prevalence of AI generated media is so commonplace now that itâs unavoidable â that these systems are going to be eating their own tails until they break.Â
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But I canât draw/write! What am I supposed to do?
The age-old struggle â myself and many others sympathize, we really do. Maybe you struggle to come up with ideas, or to put your thoughts to paper cohesively, or drawing and writing is just something youâve never really taken the time to develop before, but youâre really eager to make a start for yourself.
Maybe, like many of us including myself, you have disabilities that limit your mobility, dexterity, cognition, etc. Not your fault, obviously â it can make stuff difficult! It really can! And it can be really demoralizing to feel as though you're limited or being held back by something you can't help.
Hereâs the thing, though:
Itâs not an excuse, and it wonât make you a good artist.
The very artists you may or may not look up to got as good as they did by practicing. We all started somewhere, and being honest, that somewhere is something weâd cringe at if we had to look back at it for more than five minutes. I know I do. But in the context of a genAI-dominated internet nowadays, it's still something wonderfully human.
There are also many, many artists across history and time with all manner of disabilities, from chronic pain to paralysis, who still create. No two disabilities are the same, a fact I am well aware of, but there is ample proof that sheer human tenacity is a powerful tool in and of itself.
Or, put more bluntly and somewhat callously: you are not a unique case. You are not in some special category that justifies this particular brand of laziness, and your difficulties and struggles aren't license to take things that aren't yours.
The only way youâre going to create successfully? Is by actually creating things yourself. âAsking ChatGPTâ to spit out a writing piece for you is not writing, and you are not a writer for doing so. Using Midjourney or whatever to generate you a picture does not make you an artist. You are only doing yourself a disservice by relying on these tools.
I'll probably add more to this in time, thoughts are hard and I'm tired.
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@lapetitemxrt
"It's difficult to say, Sir." I was surprised by her candor, she had taken more care with such inquiries in the past. It always felt as if a small barrier, built by the strange juxtaposition of our ages and our roles to one another, had been there and now suddenly dissipated. I was familiar, by then, with her fathers tendency to blow past boundaries as if they were nothing more than smoke, asking deeply personal or potentially incriminating questions about my life and my desires and what I was doing on my (very limited) time off. They would be asked as easily as asking about the weather, throwing the wrathful teen i was out of balance. Her breech felt different. I was also familiar with her inability to be anything less than the person with the most integrity (pardon the pun) in any room she occupies. I knew her question came from a place of deep care, a bond we forged through grief and service to the Hellsing name. I knew my near betrayal of her, and all of my life weighed heavily on her. Not because she didn't trust me, which would have been bearable. No, Integra Hellsing never put blame on anyone other than herself when it comes to what is most important to her. She's wondering, subtly and without expression other than her usual calm blue gaze, what she did wrong. That's a simplification of her thought process, but in the end, she blames herself. As she does for far too much. Realizing I was lost in thought, I drew into a smile as I refocused. "I have had many positions over the years, and eventually, they all became part of one another." I took my time here, viewing the answer as critical to the continuation of a semblance of our former relationship even if she didn't. I wanted her to know how sorry I was that she had nearly had to pay for the sins of her father at my hands. We never spoke quite that candidly, however. "I take pride in my position, Sir Hellsing. The trials of being what I am to the organization are nothing in comparison to the positive impact Hellsing has had on the world in recent years." She would likely think I meant since the Millennium War, her constant rebuilding of London and our extermination of left behind FREAK vampires. Really though, I meant since she had taken over at the time of her fathers untimely death. While I was technically the interrim head of Hellsing until she became of age, I had never kept her from a round table meeting or from making a decision. Maybe some part of me knew I would need someone like her to pull my head out of my ass. Pardon the profanity. "My only true complaints lie with factors beyond our control, and even then, we always adapt, Sir." I inclined my head, my usual indication I was done answering her question. I briefly glanced at her cooling cup of tea from my place standing near her, noting the need for a refill.
A candid question wrapped delicately and expectantly in a desire for honesty. Integra had mulled on it for some time, perhaps even before the war. But it was only now she dared to ask. They were no longer licking their wounds, and the query felt less like rubbing salt in her own. She hoped it didn't tip an already precious scale to one side, one that made him feel as though she doubted him. Despite the events and Walter's near betrayal, or so it felt like, Integra found herself still clinging steadfast to the bonds forged between them by time, history, and familiarity.
She tips steepled fingers towards her chin with a soft exhale and thinks of lighting a cigarillo. Sir. A title she took pride in suddenly felt grating and like a blockade. She wanted to wave a hand at him and scoff and tell Walter there was no need for such formality. But it wasn't a performance or mockery, she knew this. And though their wounds were healing, some things were still tender, and this, she knew, was another attempt to keep them on a steady path. Truth be told, Integra was grateful for it.
"We certainly do, don't we?" A rhetorical question and an acknowledgment. Walter was right. It's what they do. Adapt. Adapt and march on. Wasn't that what he did? And still, Integra felt a strange sense of entrapment. The only thing she was adapting to was a strong shake in her foundations, the largest overhaul of staff since the Valentine Invasion, the loss of one eye, and the absence of Alucard - the other being that had been a constant throughout the years.
"Walter," she begins, only to give pause with the uncertainty of how to phrase the thoughts she carried. She didn't want to give an order but also didn't want to cross a delicate boundary. "I cannot begin to understand your actions, and I won't pretend to understand them any better now. And you don't owe any explanations or details to your personal reasonings. But I do ask for one thing..." Integra takes her now cold tea and drains it, unable to keep her features from twisting with disapproval. She loathed cold tea, but she couldn't stand to waste it either. "That if there is ever anything you need, do not like, or do not approve of, please speak up. What you have to say matters. And please don't refill my tea." The latter she adds with a small smile as she sets the cup back upon its saucer. What went unspoken but was clear as crystal in her words was that she would always adapt to the circumstances, just as he said, and she didn't want to have to adapt to a life without him in it. Not yet. Truth be told, the thought of losing Walter felt as though it might swallow her whole.
"Can I ask why?"
#lapetitemxrt#ââ verse; a crack in this castle of glass.#ââ post millennium war.#!!!!!!!!!!!!#i love you i missed this i am rusty bear with me aaaaaaaaa#having those deep conversations#hellsingrp
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hi hi! I canât recall if Iâve been here before, but, I would like to ask how you figure out how to draw the folds? Especially on poses that are somewhat difficult to find references for, I find.
Aside from my queries, your art is lovely! Gives me just enough motivation to get to fill a page in my sketchbook!
For one, TY TY TY IM SO HAPPY I CAN INSPIRE YOU AUHHH !!!!
Oh geez I hope I can answer comprehensibly UHHH
whatâs really helped me is studying things irl !! Knowing how things do/can work â clothing in this case â will always be an automatic help. So much of art is just observation, and keeping that in mind will always lead to improvement; through my experience at least.
Itâs also a case of just genuinely having fun when youâre doing folds! Quick, confident lines can also make things look better â along with simplification! A small trick that helps me is always making sure the folds âfollowâ or âpointâ to the main focus of of the piece. Like, if someone is holding their arm up, the folds of the clothing (for the most part) will follow that action.
Taking inspiration from other artists is always ok and cool too! One artist that genuinely shifted my view around folds is @/lousysharkbutt (Iâm too shy to @ them for real)
Hereâs some art under the cut from that artist that fully changed my brain chemistry around clothing folds !






Auhhghhh I hope this made sense and could help out a bit ,,
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But DuckDuckGo is still suffering from the same issues as google just with less data mining!!!
Google from 7 years ago is still better than both as far as actual results go.
This looks like a completely toxic shift in the entire landscape of metadata in general on top of a decline in overall tech literacy leading to search query features being DROPPED for the sake of âsimplificationâ

google siting ao3 as a source is so unhinged
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A Code of Corporate Governance sets out high standards for Corporate Governance, and good practices, which a company can adopt to improve its governance levels.
In 2020, Italy adopted a new Code, which became applicable from January 2021. The Code applies to all the listed companies on a voluntary basis, with companies who adopt it disclosing the same in their Corporate Governance reports. The Code has been revised with the aim of helping improve the long-term sustainability, transparency, and accountability of the organizational structure, and shareholder engagement activities, in order to enhance its attractiveness in international markets as well as among domestic and foreign investors.
The Code focuses on four essential objectives and principles. They are:
Sustainability: The Code encourages Italian equity-listed companies to adopt strategies based on sustainability. It recommends that sustainable success should guide the actions of the Board, and it should create long-term value for shareholders, taking into account the interests of other stakeholders, relevant to the company. It requires the Board to integrate business plans, internal control and risk management systems, and remuneration policies, with the companyâs sustainable success.
Engagement: The Code recommends that listed companies should develop a dialogue with the market and with the investors, through specific engagement policies. It assigns a key role to the Chairperson, who in agreement with the CEO, is directed to prepare a policy to manage dialogue with the investors, which the Board will approve and monitor.
Proportionality: The principles in the Code would apply to companies based on the size of the company and the ownership structure. It goes beyond large companies to better suit small-medium and/or family-owned industrial firms. Some recommendations are applicable to large listed companies, while other recommendations are applicable to companies with concentrated ownership, controlled by one or more shareholders.
Simplification: The framework of the new Code has been simplified. Q&A, based on queries received from companies, would be published on a recurring basis.
India, in its efforts towards improving governance standards of companies, continually makes changes to law and regulations. Some principles given under the Italian Code of Corporate Governance, which India can consider are â
Option of choosing between a single-tier and a two-tier Board structure.
Explanation to be provided by the Board in case the Chair is entrusted with the position of CEO or with significant managerial powers.
At least one-third of the Board should consist of members of the less represented gender.
Appointment of Lead Independent Director, and defining his/ her role.
A defined role of the Board, Chair, and CEO (to promote transparency).
The Board of Directors should promote dialogue with shareholders and other stakeholders, in the most appropriate way.
The Risk Committee should consist of a majority of Independent Directors and chaired by an Independent Director.
Succession planning to be done by Nomination Committee for the CEO and other Executive Directors.
Criteria for Board Evaluation should include the Boardâs active involvement in the definition of the companyâs strategy and in the monitoring of the management of the companyâs business, as well as the appropriateness of the internal control and risk management system.
India can consider adopting some of these practices, keeping in mind the specificities of the Indian context.
Source: https://excellenceenablers.com/some-good-practices-contained-in-the-italian-code-of-corporate-governance/
#Corporate Governance#Stakeholder Engagement#Succession Planning#Risk Management#Board Effectiveness
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Yes, moving from SAP ECC to SAP HANA can have several impacts on the existing ECC system. Here are the key areas affected:
1. Database Impact
SAP HANA is an in-memory database, whereas ECC traditionally runs on databases like Oracle, SQL Server, or IBM DB2.
You need to migrate from traditional databases to HANA if you move ECC to SAP Business Suite on HANA.
2. Performance Improvements
Faster processing due to in-memory computing.
Real-time analytics and reporting are significantly improved.
Transactions like MRP (Material Requirements Planning) run much faster in HANA.
3. Simplification of Data Structures
SAP HANA eliminates aggregate and index tables (e.g., no need for tables like BSEG, BSIS, BSAS in Finance).
The Universal Journal (ACDOCA) in S/4HANA replaces many traditional FI/CO tables.
4. Custom Code Adjustments (ABAP Impact)
Certain legacy ABAP programs may not work efficiently due to new HANA-optimized processing.
Need to adapt SQL queries for HANA, avoiding "SELECT *", using CDS Views, and enabling code pushdown.
SAP provides S/4HANA Readiness Checks to analyze custom code compatibility.
5. UI and User Experience Changes
ECC traditionally uses SAP GUI, but SAP Fiori is the default UI for S/4HANA.
Transactions are replaced by Fiori apps, enhancing usability.
6. Functional Module Changes
Some modules and transactions in ECC are simplified or removed in S/4HANA (e.g., SD Rebates replaced by Settlement Management).
SAP Business Partner (BP) replaces traditional customer/vendor master records.
7. Integration with Other Systems
SAP HANA integrates better with SAP BTP, IoT, AI, and ML technologies.
Legacy third-party systems may require interface adjustments for optimized performance.
8. Licensing & Cost Considerations
Moving to HANA involves licensing costs, which can be higher than traditional databases.
Total cost depends on whether you choose Suite on HANA (ECC on HANA) or S/4HANA
Call us on +91-84484 54549
Mail us on [email protected]
Website: Anubhav Online Trainings | UI5, Fiori, S/4HANA Trainings

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Accurate and Timely Accounting Assignment Help for Students
Stuck with your accounting assignments? Accounting is a tricky subject that involves accuracy and requires deep understanding in terms of complicated concepts. It is at this point that accounting assignment help may come into great play. Whether you are stuck with financial statements, budgeting, or taxation, expert guidance will make sure your work is accurate and meets academic requirements. Here's why opting for professional help is a smart move.
Accounting Assignment Challenges
Accounting assignments require time, accuracy, and conceptual clarity. Some of the common problems include:
Complex topics include those of auditing, taxation, and financial analysis, which overwhelm students not versed in their minutiae.
Time constraint: one would need to balance many assignments, classes, and commitments, hence putting in much detail.
Accuracy Requirements: Even slight mistakes can lower grades substantially.
Comprehending Ideas: It is very often challenging to apply theoretical knowledge practically.
Stress and Anxiety: The pressure to meet tight deadlines and academic targets may lead to burnout.
These are some of the challenges that make it necessary to seek help with accounting assignments, so that one can have clarity or save on time.
Benefits of Using Expert Help
There are several reasons why you would want to opt for professional accounting assignment helpers:
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You are guaranteed quality submissions with accounting assignment writing services, and most importantly, you free yourself from academic stress.
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Smart, Flexible, and Secure: AI Chatbot Development for Modern Enterprises
In the rapidly advancing digital landscape, businesses are leveraging AI chatbots to redefine customer interactions, automate tasks, and enhance overall experiences. These intelligent systems provide seamless 24/7 AI chat assistance, enabling personalized and efficient conversations at scale. To maximize their potential, organizations need AI chat solutions that focus on intelligence, adaptability, and robust security.
This blog explores the key aspects of AI chatbot development and how they empower modern businesses to succeed in todayâs competitive market.
Essential Features of AI Chatbot Development
1. Intelligent AI Chatbots
An intelligent AI chatbot employs advanced technologies like natural language processing (NLP), machine learning, and sentiment analysis to:
Provide Customized Interactions: Adapt responses based on user preferences and previous interactions.
Increase Precision: Continuously improve through learning from past conversations.
Maintain Contextual Understanding: Ensure fluid and meaningful dialogues.
Detect Sentiments: Adjust responses to match the userâs emotional tone.
2. Adaptable AI Chat Solutions
Adaptability is critical for businesses aiming for long-term growth. Scalable AI chat systems offer:
High Performance: Handle increased interaction volumes without compromising quality.
Flexibility: Easily incorporate new features or expand functionalities as business needs evolve.
Resource Optimization: Efficiently manage operational demands and workloads.
Seamless Integration: Integrate smoothly with existing systems like CRM platforms and business tools.
3. Secure AI Chatbots
With sensitive data at stake, robust security is essential. A secure AI chatbot system includes:
Data Protection: Encrypts data during storage and transmission to prevent breaches.
Regulatory Compliance: Meets legal standards like GDPR and CCPA for data privacy.
Access Controls: Ensures authorized usage with authentication protocols.
Ethical Interactions: Reduces biases to ensure fair and transparent communication.
Advantages of AI Chatbots for Businesses
1. Enhanced Customer Engagement
Real-time responses ensure users receive prompt and accurate support, strengthening loyalty.
2. Operational Efficiency
By automating repetitive tasks, AI chat assistance allows teams to focus on complex challenges, boosting productivity.
3. Cost Reduction
AI chatbots lower operational costs by autonomously managing high volumes of inquiries.
4. Round-the-Clock Support
Unlike human agents, AI chatbots provide 24/7 assistance, ensuring continuous availability.
5. Actionable Insights
AI systems analyze user data to uncover trends and refine strategies, improving decision-making.
Applications of AI Chatbots Across Industries
1. E-Commerce
Personalized Recommendations: Suggest products tailored to user preferences.
Order Management: Provide updates on delivery and order statuses.
Customer Assistance: Resolve queries about refunds, returns, and product details.
2. Healthcare
Appointment Scheduling: Simplify booking processes for patients and providers.
Health Assessments: Offer initial symptom evaluations and next-step guidance.
Medication Reminders: Notify users of prescription schedules and follow-ups.
3. Banking and Finance
Account Services: Assist with balance inquiries, transfers, and bill payments.
Fraud Alerts: Notify customers of unusual account activities.
Financial Advice: Provide guidance on loans, investments, and savings.
4. Education
Student Support: Answer questions about programs, schedules, and resources.
Customized Learning: Recommend study materials based on student performance.
Administrative Simplification: Streamline enrollment and payment processes.
5. Travel and Hospitality
Booking Assistance: Help users find and secure travel packages.
Real-Time Updates: Notify travelers of schedule changes and cancellations.
Service Support: Address inquiries about destinations, policies, and offers.
6. Human Resources
Onboarding Assistance: Provide resources for new employees during onboarding.
Policy Clarifications: Answer queries regarding company benefits and guidelines.
Performance Monitoring: Offer feedback and training recommendations.
Best Practices for AI Chatbot Development
1. Set Clear Goals
Define the specific objectives of your AI chat solution, such as enhancing customer service, driving sales, or automating internal operations.
2. Collaborate with Experts
Partner with an experienced AI chatbot development company to create tailored solutions that meet your business needs.
3. Prioritize User Experience
Ensure the chatbot interface is intuitive, and the interactions feel natural and user-friendly.
4. Focus on Data Security
Adopt robust security protocols to safeguard sensitive user information and maintain trust.
5. Continuously Improve
Regularly update and enhance chatbot capabilities using analytics and user feedback.
Conclusion
Intelligent, adaptable, and secure AI chatbots are revolutionizing how businesses interact with customers, employees, and partners. By adopting AI chat assistance, organizations can improve efficiency, reduce costs, and deliver exceptional experiences. Success lies in developing systems that evolve with business demands while ensuring top-notch security and user satisfaction.
Partnering with a trusted AI chatbot development company ensures that your business stays ahead in the competitive digital landscape. Embrace AI chat technology to unlock new opportunities and drive sustained growth.
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Revolutionizing Franchises: AI and Automation's Game-Changing Impact
The fusion of artificial intelligence and automation in franchise management is profoundly altering how operations are handled. By leveraging cutting-edge technologies, franchises can simplify their processes, leading to increased efficiency and precision.
Streamlining Operations
A major area influenced by AI is inventory management. AI tools analyze sales data and market trends to forecast inventory requirements, maintaining ideal stock levels while minimizing waste. This anticipatory method results in cost savings and better resource allocation.
Another domain where AI excels is staff scheduling. AI tools evaluate customer traffic and employee performance to generate optimal rosters, preventing both overstaffing and understaffing. This enhances customer service and reduces labor expenses. Moreover, automation takes over repetitive tasks like sending out inventories and handling invoices, lowering human error while allowing employees to concentrate on strategic priorities.
Enhancing Customer Experience
AI significantly boosts the customer experience in the franchise sector. By analyzing customer data, AI crafts personalized marketing campaigns that enhance engagement and loyalty through tailored promotions. This strategy not only attracts new customers but also retains current ones by addressing their preferences.
AI-driven chatbots transform customer support by offering real-time assistance and promptly resolving queries, improving satisfaction and freeing human staff to tackle more intricate tasks. AI further enhances loyalty programs by recommending customized rewards based on customer interactions, strengthening the relationship between customers and franchises.
Data-Driven Decision Making
Integrating AI enables the quick processing of large volumes of data, which is crucial for monitoring performance metrics across various franchise locations. Real-time insights into sales and customer satisfaction help managers swiftly pinpoint and address areas that require improvement.
AI helps comprehend market trends and predict consumer behaviors, enabling franchises to stay ahead by making informed decisions to satisfy customer needs and boost profitability.
Managing Franchise Growth
As franchises grow, maintaining consistency and quality is essential. AI systems track compliance with brand standards, identifying deviations to ensure the quality of services and products is uniform. This consistency enhances brand trust and satisfaction across different branches.
AI-equipped platforms provide personalized training paths, ensuring consistent employee training and equipping staff with the necessary skills for delivering high-quality service.
Adopting AI and automation is pivotal to contemporary franchise management, offering improved efficiency and a better customer experience. The progression of AI indicates an even more expansive role in the future, equipping franchises with tools to remain competitive.
Technology in Franchising
Franchise management software integrates various features into a single platform, simplifying tasks like onboarding, training, and compliance. Centralized operations reduce complexity, while automation handles repetitive functions to boost productivity and minimize mistakes.
Automation and Future Trends
Automation in franchise management takes care of routine tasks, allowing staff to focus on strategic initiatives. AI chatbots manage inquiries, relieving workload and directing human efforts to more complex interactions.
Looking forward, technologies such as IoT, advanced analytics, and VR/AR are set to have a significant impact on franchise management. IoT gathers real-time data that influences analytics, while VR/AR provides immersive training and customer interactions to enhance service delivery.
Actionable Insights for Franchisees
Franchisees should focus on cloud-based solutions for data centralization and operation simplification. Utilizing AI for data analysis and trend forecasting is essential for improving customer satisfaction.
Automating routine functions minimizes errors, while CRM systems support customer management. Employing IoT and advanced analytics provides real-time insights that enhance decision-making, positioning franchises for success.
Best Practices
AI and automation should be strategically integrated to meet franchise goals. Investing in solutions that optimize operations and enhance experiences is crucial. AI tools for data analysis enable informed decision-making and service quality consistency through effective training platforms.
Franchises must adopt these technologies to maintain a competitive advantage. Efficient operations, strategic decisions, and consistent quality are fundamental to successful, AI-driven franchise management. Future advancements have the potential to further revolutionize the industry, offering sophisticated tools for franchise expansion.
#AI #FranchiseManagement #Automation #CustomerExperience #FutureTrends
Explore technological advancements in franchising at https://thefranchiseadvisor.com.
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How a Digital Marketing Agency in Andheri Uses SEO to Boost Local Businesses

Standing in the competitive market of the contemporary scenario is what every local business vouches for. Whether it be the sweet, cozy cafe or niche boutiques, the visibility is always in control. A digital marketing agency in Andheri based on specializes in using SEO strategies to give the online presence of such local businesses an edge while making them attract the right target audience. Here's how these agencies use SEO for local enterprises to become their stories of digital success.
What is SEO, and Why is It Crucial for Local Businesses?
SEO is the process of an improvement with the aim that the website ranks high in SERPs, then it increases the chances of showing up in front of customers searching for their services or products near them.
For instance, if someone searches âbest bakery near meâ in Andheri, local SEO techniques ensure your bakery appears in the top results. This targeted visibility drives traffic, increases customer trust, and boosts conversions.
Strategies a Digital Marketing Agency in Andheri Uses for Local SEO Success
1. Optimizing Google My Business Listings
The first step is creating or improving a Google My Business, GMB, profile. That ensures businesses appear on Google Maps and in local pack results.
Key GMB optimization strategies include:
Including full business information (name, address, phone number, website).
Uploading high-quality images of location, products, or services.
Collecting and responding to customer reviews.
Posts updated with regular offers and events.
These efforts make a business more visible to local searchers and build credibility.
2. Local Keyword Research and Implementation
Relevant keywords that support the intent of a user will be necessary. A digital marketing agency in Andheri would concentrate on those terms which the would-be customers are searching for:
âAffordable salons in Andheri.â
âBest digital marketing agency near my location.â
âFitness Centers in Andheri with personal trainers.â
After identifying these keywords, they should be strategically placed throughout the website, including:
Page titles and meta descriptions.
Headers and subheaders.
Product descriptions.
Image alt texts.
This keyword placement brings the website to better places in the search queries without overstuffing the content.
3. Creating Engaging and Locally Relevant Content
Good-quality content forms the basis of a great SEO strategy. Usually, when local businesses blog, they benefit the most with the type of content directly engaging with their audience-from videos to guides.
For instance, locale-specific content includes:
âTop 5 CafĂŠs in Andheri for Coffee Lovers.â
âWhy Andheri is the Hub for Fitness Enthusiasts.â
âHow Small Businesses in Andheri Can Use Digital Marketing.â
This also helps improve rankings while even conferring local authority status of the business in its niche.
4. Building Local Backlinks
Backlinksâlinks from other websites to yoursâare perhaps the key ranking factor. A digital marketing agency will work to get high-quality, local backlinks by:
Associating with Andheri-based blogs or periodicals.
List your businesses in good local directories.
Hosting or sponsoring community events to gain media mentions.
These back links would notify the search engines that the business is
trustworthy and relevant, which boosts its local rankings.
5. Mobile Optimization for Local Users
In a place like Andheri, that is as busy, people can look up local businesses on the move using their smartphones. A digital marketing agency in Andheri will ensure that websites are mobile-friendly by:
Uses a responsive design in which pages fit every display size.
Speeds up page load.
Navigation simplification for mobile users.
Mobile-friendliness assures visitors can use and view without encountering issues on such sites for the lengthier periods necessary.
The Role of Analytics in Local SEO Success
Tracking and Measuring Results
Agencies in digital marketing embrace the use of tools, for example, Google Analytics and Google Search Console, to track whether the strategies are working:
Web traffic and its sources.
Keyword rankings.
Customer behavior patterns.
Conversions from SEO efforts.
Agencies can then use this data for fine-tuning their strategies to ensure better results for local businesses.
Leveraging Customer Feedback
Actually, reviews are the most important for local SEO. In fact, agencies encourage businesses to seek out happy customers to review them. Good reviews help rank very high and instill trust in a potential client.
Why Choose a Digital Marketing Agency in Andheri for SEO?
Local knowledge is priceless. An Andheri-based agency knows how the local market works-from the hot spots of Lokhandwala to busy thoroughfares of Versova. Itunes its campaigns for maximum emotive effect in the richly diverse cauldron of Andheri.
How SEO Drives Growth for Local Businesses in Andheri
Some of the direct benefits businesses enjoy include:
Increased footfall: As increased visibility is resulting in increased walk-ins and inquiries.
Higher ROI: SEO is cheaper than traditional advertising, and there is return-of-investment proof of deliverables.
More prominent Brand Presence: Increasing online presence will create lasting customer relations.
Real-Life Success Story: Local Salon in Andheri
As part of a digital marketing agency to further the business of a salon in Andheri, they wanted to increase bookings:
Optimized their GMB listing.
Used keywords such as "best hair spa in Andheri.â
Created content about trending hairstyles for Andheriâs youth.
Double this was the result for their website traffic within months, with bookings going up by 40%.
Conclusion
A digital marketing agency in Andheri uses the power of SEO to turn small businesses into successful enterprises shining brighter in an increasingly digital world. From optimizing GMB listings to crafting engaging content and building backlinks, these agencies ensure businesses thrive in their local markets.
If youâre a business in Andheri looking to enhance your online presence, DSK Agency is here to help. With a proven track record and local expertise, DSK Agency will craft customized SEO strategies tailored to your business needs.
Make the smart move todayâpartner with DSK Agency and watch your business flourish in Andheri's competitive landscape!
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How Can Technology Improve Complaints Management?
Introduction
Complaints management system is not an option in the fast-paced business environment today-it is a must. Efficient management of complaints could be the difference between retaining loyal customers and not, but sending customers to your competitors. The good news is that this critical business function is being revolutionized through the use of technology. Automation and advanced analytics can bring your customer service game to new heights with an effective complaints management system. ISP Mate is proud to be at the forefront of this transformation by making available innovative solutions that meet the needs of modern businesses.
Understanding Complaints Management
What Is Complaints Management?
Complaint management systematically handles customer complaints, ensuring resolution; at the same time, it keeps track of issues that need to be improved. It's a very vital process that has a vested interest in customer satisfaction, loyalty, and reputation with a company.
Traditional Challenges in Complaints Handling
It was way back when managing complaints was completely manual and time-consuming. There were lost tickets, delayed responses, and no communication in real-time. These inefficiencies led to frustrated customers and internal teams that were strained.
Evolving Customer Expectations
Todayâs customers demand quick resolutions, transparency, and personalized service. A manual approach can no longer keep up with these expectations, making technology-driven systems essential.
The Role of Technology in Complaints Management
1. Automation for Efficiency
Automation forms the core of the present complaint management systems. It helps in the simplification process such as:
- Ticketing and tracking: Automatic ticket generation and tracking ensures that no complaint is overlooked.
Prioritization: The systems can classify and prioritize complaints through urgency so that teams can handle issues that are of more urgency first.
The resolution time for issues is highly reduced through the elimination of manual bottlenecks by automation.
2. Data-Informed Investigation
A good complaint management system will collate, analyze, and report meaningful information, including:
- Identification of Reoccurring Issues: Reoccurring issues within complaints show root causes that business will want to address.
- Trends in Customer Communications: Awareness of customer communications will enlighten on how services could be made better and products created.
3. Better Customer Communications
Technology helps improve communication in various ways by harnessing several channels.
- Email, Chat, and Social Media: Customers can file complaints through their preferred media; accessibility is not a barrier.
- Live Updates: Automated systems keep customers abreast of the complaint's status at each step.
4. Artificial Intelligence and Machine Learning
AI and ML are game changers in complaints management. Through them, they provide
- Chatbots: AI-driven bots offer instant support for commonplace queries, free the human agents to look at complex cases.
-Predictive Analytics: These tools predict potential customer issues, which businesses can address ahead of time.
5. Cloud-Based Solutions
Cloud technology is unparalleled in flexibility and scalability. Remote access for teams to manage complaints from anywhere; hence, uninterrupted service Secure storage with cloud-based systems-a safe and centralized complaint records that can be easily retrieved as well as ensure compliance
Advantages of an Effective Complaints Management System
Investing in a reliable complaints management system results in many avenues of success.
- Simplified complaint resolution processes streamline workflows, thus being efficient.
Faster resolutions increase customer satisfaction rates. The costs of operations go down while the productivity goes up. Accurate documentation ensures compliance with industry regulations. Fast complaint resolution becomes an area of competition for firms in terms of service delivery, as they show loyalty by their clients. ISP Mate Complaint Management System
At ISP Mate, we recognize that the effective lodging of complaints is indeed the bloodline of any business. Our state-of-the-art complaint management system is equipped to face head-on these challenges.
ISP Mate Solution
Key Features
Ergonomic Interface: It is friendly to navigate through complex procedures.
Comprehensive Reporting: Keep abreast of complaints and their resolution.
Seamless Integration: It has an effortless integration with all present software systems.
Success Stories
We have assisted thousands of organizations enhance their customer service. For example, an ISP utilizing our application reduced the time it took to resolve complaints by 40%, thus boosting customer retention .
Future Outlook in Complaints Management Technology
The Future of Complaints Management Technology holds much promise in the form of:
- AI-Powered Personalization: Offering customized resolutions based on customer history.
- Blockchain Transparency: Leveraging blockchain to boost transparency and security of data in complaints management.
IoT Integration: IoT devices used for real-time identification and troubleshooting of technical issues.
Conclusion
Technology today makes complaints management more proactive rather than the reactive forms practiced before. A strong complaints management system that ISP Mate can supply is the best way in achieving the efficiency and elevating customer experiences and building long-term loyalty to your business. Â Let us revolutionize your complaints management process. To know more about how we can help your business thrive, contact ISP Mate today.
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Cassandra To Spanner Proxy Adaptor Eases Yahooâs Migration

Yahooâs migration process is made easier with a new Cassandra to Spanner adapter.
A popular key-value NoSQL database for applications like caching, session management, and real-time analytics that demand quick data retrieval and storage is Cassandra. High performance and ease of maintenance are ensured by its straightforward key-value pair structure, particularly for huge datasets.
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However, this simplicity also has drawbacks, such as inadequate support for sophisticated queries, the possibility of data repetition, and challenges when it comes to modeling complicated relationships. In order to position itself for classic Cassandra workloads, Spanner, Google Cloudâs always-on, globally consistent, and nearly infinite-scale database, blends the scalability and availability of NoSQL with the strong consistency and relational nature of traditional databases. With the release of the Cassandra to Spanner Proxy Adapter, an open-source solution allowing plug-and-play migrations of Cassandra workloads to Spanner without requiring modifications to the application logic, switching from Cassandra to Spanner is now simpler than ever.
Spanner for NoSQL workloads
Strong consistency, high availability, nearly infinite scalability, and a well-known relational data model with support for SQL and ACID transactions for data integrity are all features that Spanner offers. Being a fully managed service, it facilitates operational simplification and frees up teams to concentrate on developing applications rather than managing databases. Additionally, by reducing database downtime, Spannerâs high availability even on a vast global scale supports business continuity.
Spanner is always changing to satisfy the demands of contemporary companies. Improved multi-model capabilities including graph, full-text, and vector searches, higher analytical query performance with Spanner Data Boost, and special enterprise features like geo-partitioning and dual-region settings are some of the most recent Spanner capabilities. These potent features, together with Spannerâs alluring price-performance, provide up a world of fascinating new opportunities for Cassandra users.
Yahoo has put the Cassandra to Spanner adapter to the test
âSpanner sounds like a leap forward from Cassandra,â in case you were wondering. How can I begin? The proxy adapter offers a plug-and-play method for sending Cassandra Query Language (CQL) traffic from your client apps to Spanner. The adapter works as the applicationâs Cassandra client behind the scenes, but it communicates with Spanner internally for all data manipulation operations. The Cassandra to Spanner proxy adapter simply works without requiring you to migrate your application code!
Yahoo benefited from increased performance, scalability, consistency, and operational efficiency after successfully migrating from Cassandra to Spanner. Additionally, the proxy adapter made the migration process simple.
Reltio is another Google Cloud client that has made the switch from Cassandra to Spanner. Reltio gained the advantages of a fully managed, globally distributed, and highly consistent database while minimizing downtime and service disruption through an easy migration process.
These success examples show that companies looking to upgrade their data architecture, uncover new capabilities, and spur creativity may find that switching from Cassandra to Spanner is a game-changer.
How is your migration made easier by the new proxy adapter? The following procedures are involved in a typical database migration:Image credit to Google Cloud
Some of these stages are more complicated than others, such as moving your application (step 4) and moving the data (step 6). Migrating a Cassandra-backed application to point to Spanner is made much easier by the proxy adaptor. A high-level summary of the procedures needed to use the new proxy adapter is provided here:
Assessment: After switching to Spanner, determine which of your Cassandra schema, data model, and query patterns may be made simpler.
Schema design: The documentation thoroughly discusses the similarities and differences between Spannerâs and Cassandraâs table declaration syntax and data types. For optimum efficiency, you can additionally utilize relational features and capabilities with Spanner, such as interleaved tables.
Data migration: To move your data, follow these steps:
Bulk load: Utilizing programs like the Spanner Dataflow connector or BigQuery reverse ETL, export data from Cassandra and import it into Spanner.
Replicate incoming information: Use Cassandraâs Change Data Capture (CDC) to instantly replicate incoming updates to Spanner from your Cassandra cluster.
Updating your application logic to execute dual-writes to Cassandra and Spanner is an additional option. If you want to make as few modifications to your application code as possible, google Cloud do not advise using this method.
Update your Cassandra setup and set up the proxy adapter: The Cassandra to Spanner Proxy Adapter operates as a sidecar next to your application; download and start it. The proxy adapter uses port 9042 by default. Remember to modify your application code to point to the proxy adapter if you choose to use a different port.
Testing: To make sure everything functions as planned, thoroughly test your migrated application and data in a non-production setting.
Cutover: Move your application traffic to Spanner as soon as you are comfortable with the migration. Keep a watchful eye out for any problems and adjust performance as necessary.
What does the new proxy adapterâs internal components look like?
The application sees the new proxy adaptor as a Cassandra client. The Cassandra endpointâs IP address or hostname has changed to point to the proxy adapter, which is the only discernible change from the applicationâs point of view. This simplifies the Spanner migration without necessitating significant changes to the application code.Image credit to Google Cloud
To provide a one-to-one mapping between every Cassandra cluster and its matching Spanner database, Google builds the proxy adapter. A multi-listener architecture is used by the proxy instance, and each listener is connected to a different port. This makes it possible to handle several client connections at once, with each listener controlling a separate connection to the designated Spanner database.
The complexities of the Cassandra protocol are managed by the translation layer of the proxy. This layer handles buffers and caches, decodes and encodes messages, and most importantly parses incoming CQL queries and converts them into counterparts that are compatible with Spanner.
To gather and export traces to Cloud Trace, the proxy adapter supports OpenTelemetry.
Taking care of common issues and difficulties
Letâs talk about some issues you might be having with your migrations:
Cost:Â Take a look at Accentureâs benchmark result, which shows that Spanner guarantees cost effectiveness in addition to consistent latency and throughput. To help you utilize all of Spannerâs features, the company has also introduced a new tiered pricing structure called âSpanner editions,â which offers improved cost transparency and cost-saving options.
Latency increases:Â When executing the proxy adapter in a Docker container, Google advises running it on the same host as the client application (as a side-car proxy) or on the same Docker network to reduce an increase in query latencies. Additionally, Google advised limiting the proxy adapter hostâs CPU usage to less than 80%.
Design flexibility:Â Spannerâs more rigid relational design gives benefits in terms of data integrity, query capability, and consistency, but Cassandra offers more flexibility.
Learning curve:Â There are some distinctions between Cassandraâs and Spannerâs data types. Examine this thorough material to help with the transition.
Start now
For companies wishing to take advantage of the cloudâs full potential for NoSQL workloads, Spanner is an appealing choice due to its robust consistency, streamlined operations, improved data integrity, and worldwide scalability. Google Cloud is making it simpler to plan and implement your migration strategy with the new Cassandra to Spanner proxy adapter, allowing your company to enter a new era of data-driven innovation.
Read more on govindhtech.com
#Cassandra#SpannerProxyAdaptor#NoSQLdatabase#EasesYahooMigration#Spanner#OpenTelemetry#newproxyadapter#internalcomponents#news#NoSQLworkloads#technology#technews#govindhtech
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The Foundations of Prompt Engineering: A Beginner's Guide

Effective communication with AI models is a talent that can make a big difference in this rapidly changing field of artificial intelligence (AI). This prompt engineering technique entails formulating queries to facilitate more perceptive and significant answers from AI models like GPT-4. Learning to ask the appropriate questions is becoming increasingly important, regardless of whether you're an interested enthusiast, an aspiring developer, or just someone who finds AI fascinating. Find out more about quick engineering's basis.
Cracking the Code of Prompt Engineering
In essence, prompt engineering is about becoming proficient in the language of artificial intelligence. While sophisticated AI models are brilliant, they need well-written queries to provide the best results. It's similar to giving the AI a detailed plan of your information requirements. Whether you're working on a school or coding project or just interested in AI for its own sake, this ability is vital.
Method 1: It's Important to Be Clear
Writing clear instructions is one of the core components of prompt engineering. Your prompts' accuracy and specificity directly affect how well the model responds. Specific and thorough cues produce more accurate and beneficial responses than general inquiries.
For example:
Perform: "Provide a step-by-step explanation of how photosynthesis works in plants, including the role of sunlight, water, and carbon dioxide, and the process of glucose and oxygen production."
Refrain from asking, "Explain photosynthesis."
It all comes down to defining your needs, choosing the appropriate language, and organizing your inquiries for optimal clarity.
Method 2: Make Use of Reference Materials
When directed to particular reference materials, the AI's response accuracy increases. Use specific texts or links to direct the model rather than general questions.
For instance:
Say: "Based on the data in this market research report [insert link or text], identify the top three consumer trends in 2023."
Avoid the question: "What are the top consumer trends this year?"
This tactic gives the AI a contextual basis, guaranteeing more accurate and pertinent responses.
Strategy 3: Break Up and Overcome Difficult Tasks
The AI model's accuracy and efficiency significantly increase when complicated inquiries are divided into smaller, more manageable jobs. This approach entails building comprehensive summaries iteratively, piecemeal summarization of lengthy documents, and intent categorization for user inquiries.
For example:
Take action: "Identify whether the user's query seeks information, assistance, or an opinion, then respond accordingly."
Avoid: "Respond to this user's question."
Task simplification enables the AI model to provide more precise and targeted replies.
Method 4: Allow the Model to "Think"
Giving the model instructions to solve complicated problems step-by-step and giving it time to reflect results in more comprehensive and well-reasoned answers. Guide the model's reasoning process rather than looking for quick answers to complex topics.
For instance:
Ask: "Can you explain photosynthesis step by step?"
Avoid: "What's the solution to 2x + 3 = 11?"
A more deliberate engagement is ensured by promoting inner monologues and giving the model time to reevaluate its answers.
Method 5: Systematically Test Modifications
Testing prompt variants methodically guarantees that any changes result in better performance. Check outputs against gold-standard responses to ensure your prompts are working.
For example:
Perform: "Translate this paragraph from Spanish to English, then compare your translation with a professionally translated version to identify any differences."
Avoid the following: "Translate this paragraph from Spanish to English." [without mentioning a comparison with an expert translation]
Your prompts will continuously improve the efficacy and efficiency of AI responses if you test them methodically.
Mastering the Art: Using Prompt Engineering Certification to Unlock AI's Potential
The requirement for people skilled at creating accurate and efficient queries is growing as AI models like GPT-4 continue to advance. The quick engineer course was created in response to this demand, acknowledging the increasing significance of becoming proficient in prompt engineering.Â
Anyone, from enthusiasts to future developers, can acquire the ability to interact with AI by enrolling in a quick engineer certification program. This extensive program covers essential elements explained in quick engineering certification and techniques, including creating clear instructions, using reference materials, decomposing difficult jobs, letting the model think, and doing systematic testing.
People with timely engineering qualifications have an advantage as AI has become a crucial component of many sectors. In addition to improving one's ability to navigate AI certification, the training cultivates an awareness of how to ask questions that produce accurate and wise answers. In the end, timely engineer certification advances a person's proficiency in AI while advancing the general objective of promoting effective and meaningful human-AI interactions in the age of rapid technological development.
The Path Ahead: Developing Your Prompt Engineering Skills
Remember that timely engineering is a skill developed by practice as you set out to perfect it. Every encounter with AI offers a fresh chance to hone your strategy and obtain more detailed, precise, and perceptive data. In addition to improving your prompt engineering abilities, the objective is to enable more profound engagement with AI models in various real-world scenarios.
The ability to ask the correct questions correctly is a powerful asset as artificial intelligence is increasingly integrated into many sectors. Thus, embrace prompt engineering with zeal, understanding that every question is a chance to develop into a proficient, prompt engineer and realize the full potential of AI interactions.
Blockchain Council is a top resource for people looking for in-depth AI training. The Blockchain Council comprises knowledgeable subject matter experts and enthusiasts and is committed to promoting blockchain research and development, use cases, products, and knowledge.
Blockchain Council gives individuals and businesses a forum to be on the cutting edge of this game-changing technology as it becomes more than just a technical advancement. The Blockchain Council facilitates the shift from conventional, centralized working systems to the cutting-edge and popular field of Blockchain technology, emphasizing the financial network, distributed ledger, software, and more.
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 SAP ABAP on HANA differs significantly from traditional SAP ABAP due to the architectural differences between the traditional database systems and the SAP HANA in-memory database. Here are the key differences:
1. Database and Performance
Traditional SAP ABAP: Traditional SAP systems use relational databases (e.g., Oracle, DB2, SQL Server) where data is stored on disk. This leads to slower performance due to disk I/O and slower query processing.
SAP ABAP on HANA: With HANA, the database is in-memory, meaning data is stored in RAM rather than on disk. This enables faster data retrieval, processing, and real-time analytics. The HANA engine is optimized for parallel processing and can handle massive volumes of data with much faster response times.
2. Data Access and Processing
Traditional SAP ABAP: In traditional systems, ABAP programs access data through SQL queries executed on disk-based databases. Complex queries and joins can be slow and resource-intensive, often requiring the use of indexes and optimizations.
SAP ABAP on HANA: ABAP on HANA takes advantage of HANAâs ability to process large datasets in memory. ABAP programs can directly leverage HANAâs advanced capabilities, such as HANA-specific SQL functions, optimized calculations, and table buffering to reduce the need for complex joins and to process large volumes of data in real-time.
3. Optimized Code for HANA
Traditional SAP ABAP: ABAP code traditionally was not optimized for any specific database platform. Optimizations for the database were done manually (like indexing, batch processing, etc.) and at the database level.
SAP ABAP on HANA: SAP introduced ABAP for HANA to allow developers to write optimized code that directly exploits HANAâs performance benefits. The most important concepts here are ABAP Managed Database Procedures (AMDP) and Core Data Services (CDS). These tools help developers push the logic to the database layer, minimizing unnecessary data transfers and making use of HANAâs processing power.
4. Use of ABAP Managed Database Procedures (AMDP) and CDS Views
Traditional SAP ABAP: The business logic in traditional ABAP is executed on the application server, and SQL queries to the database are usually created dynamically or through standard transaction mechanisms.
SAP ABAP on HANA: In HANA-based ABAP systems, AMDP and CDS views are used to define database logic and views directly within the HANA database. This offloads much of the heavy lifting to the database, providing optimized performance and enabling real-time data processing.
5. Fiori and UI5 Integration
Traditional SAP ABAP: SAPâs traditional GUI-based interfaces, such as SAP GUI or Web Dynpro, are commonly used to interact with the application.
SAP ABAP on HANA: ABAP on HANA enables seamless integration with modern front-end technologies like SAP Fiori and SAP UI5, which are optimized for mobile and web-based interfaces. This is part of the shift towards a more user-friendly, modern, and responsive UI experience, which is built to interact with real-time data processed by HANA.
6. Data Modeling and Analytics
Traditional SAP ABAP: In traditional SAP systems, analytical capabilities are often limited to standard reports or batch jobs that are executed periodically, which can result in delays in decision-making.
SAP ABAP on HANA: With HANA, ABAP can now perform real-time analytics. HANAâs in-memory capabilities and real-time processing allow SAP systems to execute complex analytical queries on the fly, without the need for pre-calculated aggregates. Data models such as Core Data Services (CDS) can be created to expose live data for analysis directly from the HANA database.
7. Simplification of Data Models
Traditional SAP ABAP: ABAP programs often work with complex, multi-layered data models that require heavy data manipulation and transformations on the application side.
SAP ABAP on HANA: With SAP HANA, the need for complex application-side transformations is minimized. CDS views and HANA-optimized models allow for simpler, more direct data access and processing. This reduces the burden on the application server, improving performance.
8. Data Consistency and Real-time Processing
Traditional SAP ABAP: Real-time data processing can be slower, and there is often a lag between data retrieval, processing, and presentation in reports.
SAP ABAP on HANA: HANAâs ability to perform real-time data processing means that the business logic in ABAP can execute much faster, and data is presented in real-time, ensuring up-to-date information at all times.
9. Cloud and Hybrid Environments
Traditional SAP ABAP: Traditional systems tend to be hosted on-premise with fixed infrastructure.
SAP ABAP on HANA: SAP ABAP on HANA supports modern hybrid and cloud environments, where businesses can scale their infrastructure dynamically. SAP S/4HANA, for example, is optimized for cloud-based deployment and provides a more flexible architecture for managing SAP applications.
Conclusion
In summary, SAP ABAP on HANA significantly enhances performance, real-time processing, and flexibility compared to traditional SAP ABAP. By leveraging HANA's in-memory processing, new development tools like AMDP and CDS, and integration with modern UIs, it empowers businesses to perform faster and more efficient operations.
Anubhav Trainings is an SAP training provider that offers various SAP courses, including SAP UI5 training. Their SAP Ui5 training program covers various topics, including warehouse structure and organization, goods receipt and issue, internal warehouse movements, inventory management, physical inventory, and much more.
Call us on +91-84484 54549
Mail us on [email protected]
Website:Â Anubhav Online Trainings | UI5, Fiori, S/4HANA Trainings
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he SAP S/4HANA conversion process involves migrating an existing SAP ERP system (ECC) to SAP S/4HANA. This is a system conversion (Brownfield approach) that retains existing data and configurations while upgrading the system to S/4HANA.
SAP S/4HANA Conversion Process Steps
1. Preparation Phase
Before starting the conversion, SAP provides tools to analyze the system and plan the migration.
â
Readiness Check
Use SAP Readiness Check to analyze system compatibility, custom code, and required simplifications.
Identify obsolete transactions and required modifications.
â
Custom Code Analysis
Use ABAP Test Cockpit (ATC) to check custom ABAP code compatibility.
Adapt or remove unused/obsolete code.
â
Sizing and Hardware Check
Ensure that the system meets S/4HANA hardware requirements (HANA database, memory, CPU).
Use SAP Quick Sizer for estimation.
â
Business Process Review
Analyze the impact of Simplification Items and business process changes.
2. Conversion Phase
This is the technical migration of the system to SAP S/4HANA.
đš Database Migration
Convert the database from SAP ECC (AnyDB) to HANA if not already on HANA.
Use SUM (Software Update Manager) with DMO (Database Migration Option) for database migration.
đš System Upgrade
Upgrade the existing system to the latest SAP NetWeaver version compatible with S/4HANA.
Convert existing GL, Asset Accounting, Credit Management, etc., to the new S/4HANA data model.
đš Data Conversion
Use SAP Migration Cockpit or custom programs to transform data structures to S/4HANA format.
Execute necessary finance-related conversions (FI/CO data migration).
3. Post-Conversion Activities
Once the system is migrated, validation and testing must be done.
â
Functional Testing
Validate all business processes (Sales, Finance, Logistics, etc.).
Perform regression testing.
â
Custom Code Adaptation
Adjust custom ABAP code using SAP S/4HANA-specific APIs and syntax changes.
Use SAP Fiori to replace obsolete transactions with new apps.
â
Performance Tuning
Optimize HANA queries and performance tuning for improved efficiency.
â
User Training & Go-Live
Educate end users on changes in UI, workflows, and new features.
After thorough testing, finalize the cutover plan and Go-Live.
Key Tools Used in the Conversion
SAP Readiness Check â Pre-check tool for system compatibility.
ABAP Test Cockpit (ATC) â Analyzes custom ABAP code.
SAP Simplification Item Check â Identifies required adjustments.
Software Update Manager (SUM) with DMO â Converts the database and upgrades the system.
SAP Migration Cockpit â Helps in data migration.
SAP Fiori Apps Reference Library â To identify relevant Fiori apps for replaced transactions.
Mail us on [email protected]
Website: Anubhav Online Trainings | UI5, Fiori, S/4HANA Trainings
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