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Saurabh Jain

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  1. This is a great topic, and the focus areas listed are essential components of successful retail analytics. In my experience, understanding Consumer Behavior Insights is the cornerstone of retail analytics. It's fascinating to see how data can reveal patterns and trends that are not immediately obvious. This insight can drive the development of more effective Marketing Strategies and Personalized Offers, leading to increased customer engagement and sales. One area that I find particularly challenging, yet rewarding, is Store Optimization. The physical layout of a store can significantly affect customer flow and purchasing behavior. Using analytics to inform store layout and product placement decisions can lead to substantial improvements in sales and customer satisfaction. Speaking of Customer Satisfaction, it’s interesting how closely it ties back to analytics. By carefully analyzing customer feedback and behavior, retailers can identify pain points and opportunities to improve the shopping experience. I'm keen to learn from others in this forum. What challenges have you faced in these areas, and how have you addressed them? Are there other key focus areas in retail analytics that you've found particularly impactful? Looking forward to a rich exchange of ideas and experiences!
  2. Saurabh Jain

    Valentine day with Excel

  3. From the album: Valentine day with Excel

    Which one Turning you on ? "XLOOKUP of Love: Finding the Perfect Match Beyond VLOOKUP" "Beyond VLOOKUP: Embracing XLOOKUP as My Valentine" "Switching to XLOOKUP: A New Love Story in Spreadsheets" "XLOOKUP, My Valentine: Finding Love in Every Range" "From VLOOKUP to XLOOKUP: Upgrading My Valentine's Date" "XLOOKUP Affection: A More Flexible Love for Data" "Choosing XLOOKUP: A Valentine's Upgrade in Excel" "Falling for XLOOKUP: A Modern Love Tale in Excel" "My Heart Belongs to XLOOKUP: Leaving VLOOKUP Behind" "XLOOKUP: My True Love in a Sea of Functions" "A Valentine's Shift: From VLOOKUP to XLOOKUP with Love" "XLOOKUP: The New Chapter in My Spreadsheet Love Story" "Celebrating Valentine's with XLOOKUP: A Better Way to Connect" "XLOOKUP Over VLOOKUP: A Love Story for the Modern Excel User" "Finding My Match with XLOOKUP: A Valentine's Revelation"
  4. In a realm where numbers dance and sway, Excel reigns supreme, night and day. A canvas vast, cells align in rows, A symphony of data, in harmony it flows. Formulas whisper secrets, hidden in plain sight, Functions and features, in brilliance unite. VLOOKUP searches far, HLOOKUP wide, Finding answers hidden, where they reside. PivotTables spin, weaving tales untold, Charts and graphs, in colors bold. Stories emerge from data, clear and profound, In Excel's embrace, insights are found. Conditional formatting, a splash of art, Highlighting the special, setting them apart. Macros automate, with a wizard's grace, Efficiency and magic, in this digital space. Through columns and rows, our journey we chart, Excel, a trusted companion, in science and art. In this world of numbers, formulas, and code, It's where puzzles are solved, and mysteries unfold. So here's to Excel, in its powerful stance, A tool, a canvas, a gateway to enhance. Our understanding, our work, our creative spree, In Excel, we find possibility's key.
  5. Petal turns your documents into a digital expert you can talk to! Get answers quickly by talking to your personalized ChatGPT. Upload research papers, technical manuals, policy handbooks, resumes, case studies, or even works of fiction. Chat with multiple documents at once and track sources. Collaborate with your team and share files, annotations, and comments. Supports PDFs, Word, Powerpoint, and other common text files. Recognized as a trusted resource by MIT libraries. Sign up for free! https://www.petal.org/
  6. CTRL+SHIFT+8 => Selects the entire table, including the header row and the total row (if present) 2) CTRL+SHIFT+T => (a toggle shortcut): Adds/removes the total row of a table 3) CTRL+SHIFT+U => Expands/contracts the Formula Bar (toggle) 4) CTRL+SHIFT+9 => unhides hidden rows within selection 5) CTRL+SHIFT+L => activates/deactivates filtering (toggle) 6) CTRL+SHIFT+F6 => toggles to the previous workbook (when two or more workbooks are open) 7) CTRL+SHIFT+F4 => Repeats the last search (like: Find Next) - but backwards (upwards) 😎 CTRL+SHIFT+< => copies values from cell above (same as: CTRL+D) but without selecting the cell above (works on more than one cell) 9) CTRL+SHIFT+> => copies values from cell to the left (same as: CTRL+R) but without selecting the cell to the left (works on more than one cell) 10) CTRL+SHIFT+SPACEBAR => same as CTRL+A 11) CTRL+SHIFT+O => selects all cells containing comments (notes in 365) 12) CTRL+SHIFT+PAGEDOWN => Selects the current and the next worksheet (creation of a Group) 13) CTRL+SHIFT+PAGEUP => Selects the current and the previous worksheet (creation of a Group) 14) CTRL+SHIFT+[ => Selects all Precedents (Direct & Indirect) 15) CTRL+SHIFT+] => Selects all Dependents (Direct & Indirect) 16) CTRL+SHIFT+7 => Applies border (single, black, thin) to selection (only outer border is applied) 17) CTRL+SHIFT+- => removes border (single, black, thin) from selection (removes all borders within the selection) 18) CTRL+SHIFT+A => (when the insertion point is next to the function's name entered) Displays the function’s arguments (in parentheses) 19) CTRL+SHIFT+' => Copies the value from the cell above the active cell into the active cell. If the cell contains a formula, it is converted into value. 20) CTRL+SHIFT+. => Copies the contents of the adjacent cell (to the left) into the active cell. If the adjacent cell contains a formula it copies the formula with relative references.
  7. Here are the 11 AI tools that you need:
  8. Here are some real-world examples and case studies showcasing practical applications of advanced data analysis techniques in various industries: Retail industry: Analyzing sales data to identify trends, customer preferences, and optimize inventory management. Utilizing Power Pivot to create a comprehensive sales dashboard with key performance indicators (KPIs) for monitoring store performance. Financial services: Performing risk analysis by combining and analyzing data from various sources using Power Query. Building financial models and conducting scenario analysis using Power Pivot to evaluate investment opportunities. Healthcare: Analyzing patient data to identify patterns, correlations, and potential risk factors for diseases. Creating dynamic reports and visualizations with Power Pivot to track patient outcomes and optimize healthcare delivery. Marketing and advertising: Integrating data from different marketing channels to measure campaign effectiveness and ROI. Leveraging Power Query to clean and merge data for customer segmentation and targeted marketing strategies. Manufacturing: Analyzing production data to identify bottlenecks, optimize processes, and improve overall efficiency. Using Power Pivot to create interactive dashboards for real-time monitoring of production metrics. Supply chain and logistics: Combining data from multiple sources, such as inventory, transportation, and sales, to optimize supply chain operations. Visualizing supply chain performance and identifying areas for improvement using Power Query and Power Pivot. Human resources: Analyzing employee data to identify patterns related to attrition, performance, and engagement. Creating dynamic HR dashboards with Power Pivot to track key HR metrics and make data-driven decisions. Social media and market research: Extracting and analyzing data from social media platforms to understand customer sentiment and preferences. Leveraging Power Query and Power Pivot to uncover insights and drive marketing strategies based on market research data. These examples demonstrate how advanced data analysis techniques in Excel, specifically using Power Query and Power Pivot, can be applied in various industries to gain valuable insights, optimize processes, and make informed decisions. Share your examples
  9. "Empowering Data Management with Excel as King and Power Query as Queen" The world of data management is a vast and complex kingdom, and within it, there are rulers that hold immense power. If Excel is the king, then Power Query is undoubtedly the queen. Together, they form a powerful partnership that can help manage data effectively and efficiently. Excel, the king of data management, is a widely recognized tool that has been around for decades. It's a versatile spreadsheet application that can perform a wide range of data processing functions, from simple calculations to complex data analysis. Excel offers a user-friendly interface that can help users manage data in an organized and intuitive manner. On the other hand, Power Query, the queen of data management, is a relatively new tool in the Microsoft ecosystem. It's a data transformation and preparation tool that can help automate the data cleaning and shaping process. Power Query is an add-in for Excel, which means it can be used within the familiar Excel environment. It offers a powerful interface that can help users extract, transform, and load data from various sources. Together, Excel and Power Query form a formidable duo that can manage data in an efficient and effective manner. Excel provides a platform for data organization and analysis, while Power Query offers advanced data transformation and preparation capabilities. With these tools at their disposal, users can automate repetitive tasks and focus on analyzing the data to extract meaningful insights. Furthermore, Excel and Power Query are both user-friendly tools that can be used by people with varying levels of technical expertise. Excel provides a simple and intuitive interface, while Power Query offers a step-by-step data transformation process. The two tools are designed to work seamlessly together, which makes the data management process even more streamlined. In conclusion, if Excel is the king of data management, then Power Query is undoubtedly the queen. Together, they offer a powerful and user-friendly data management solution that can help users manage data efficiently and effectively. With these tools at their disposal, users can focus on analyzing the data to extract valuable insights, rather than spending time on repetitive data cleaning and shaping tasks. Mastering the Art of Power Query: Unlocking Excel's Full Potential
  10. Version 1.0.0

    11 downloads

    PPT template
  11. Version 1.0.0

    19 downloads

    This invoice tracker is designed to maintain a history of customers, invoices, and invoice details so you can store multiple invoices without creating multiple files. You can also use this invoice tracker to analyze your previously invoiced data. For example, you can view all invoices for a customer, a specific project, or view all invoices for the last month, the last year, and more.
  12. Here are the key things you need to start learning & step up in your game - 1) Understand more connectors -> Excel, CSV, TXT, Web Scraping, REST APIs, SQL Server, OData, SSAS, SAP etc. 2) Better DAX -> Build a comprehensive Calendar Table -> Save your time by using amazing templates available in Bravo (external tool) -> Time Intelligence Calculations (YoY, YTD, Rolling, QTD, MTD etc.) -> What-If Modeling - Numerical & Field Parameters -> Table Calculations -> Formatting & commenting DAX code 3) Power Query -> Joins -> Fuzzy Logic -> M-Code (Read / Edit / Copy-Paste) -> Parameters -> Custom Functions -> Vision -> Text Analytics -> Python / R Scripts 4) Data Modeling -> Building Star Schema -> Understanding Composite Key -> Proper Naming Conventions for Queries, Tables & Columns -> Cross Filter -> Hierarchies -> Folders for Measures -> Custom Formats -> Conversion of many-to-many to one-to-many -> Active Vs Inactive Vs Virtual Relationships (+ how to handle in DAX) 5) Performance Tuning -> Data Normalization -> Use Performance Analyzer (Power BI) -> Diagnostics (Power Query) 6) Visualization -> Themes & Color Palettes -> Formatting Options -> Bookmarks -> Syncing Slicers -> Modifying Interactions -> Using Custom Visuals (Store) -> Building Custom Visuals (Charticulator) -> Filters (Different Types) -> Custom Tooltips -> Groups, Bins and Clusters -> Analytics Tab in Visuals -> Error Bars -> Custom Titles for Charts -> Conditional Formatting using DAX -> Geospatial analytics with custom maps (Shape Maps) 7) Power BI Service -> Row Level Security Configuration (both Desktop & Service) -> Scheduled Refresh -> Connection Gateways -> Dashboards & Apps -> Roles in Workspace -> Workspace Management -> Datamarts -> Dataflows -> Pipelines -> Scorecard -> Sensitivity Labels -> Data connection gateways -> Query Folding 8. Power BI Integration Take full advantage of Power BI integration with other tools / technologies -> Power Automate (Scheduled refresh, Trigger Actions) -> Power Apps (Embed) -> Azure Machine Learning -> Python / R Scripts -> Power BI datasets in Excel -> PowerPoint (embed)
  13. until
    A Comprehensive Course for Data Analysis and Transformation 2 hours a day X 5 days a week X 2 weeks Register before 6 may 2023
  14. Which Excel feature allows you to quickly perform calculations on a range of cells by using pre-defined formulas? Answers posted by members will be hidden for couple of days
  15. Mastering Excel: Tips and Tricks for Becoming an Excel Expert Microsoft Excel is one of the most popular spreadsheet applications worldwide, and for good reason. It has the power to handle complex data manipulation, analysis, and visualization that's important in almost every field of work. Whether you're a beginner or an experienced Excel user, there are always new tips and tricks you can learn to improve your productivity and make better use of the tool. This article will walk you through the basics of Excel, advanced techniques, time-saving shortcuts, and data analysis and visualization. Follow along and become an Excel expert in no time! Understanding the Basics of Excel Microsoft Excel is a powerful tool that allows you to organize and analyze data quickly and efficiently. Whether you're a student, a business professional, or just someone who wants to keep track of their personal finances, Excel can help you make sense of your data. In this article, we'll take a closer look at some of the basic features of Excel, including navigating the interface, using functions and formulas, and formatting your spreadsheet. Navigating the Excel Interface When you first open Excel, you may be overwhelmed by the sheer number of options and tools available. However, with a little practice, you'll find that navigating the Excel interface is relatively straightforward. The main areas of Excel are the ribbon at the top of the window, the worksheet or grid where you enter and manipulate data, and the formula bar where you can view and edit formulas. The ribbon is divided into several tabs, each containing a different set of tools and options. For example, the "Home" tab contains tools for formatting and editing your data, while the "Insert" tab contains tools for adding charts, tables, and other elements to your spreadsheet. The worksheet is where you enter and manipulate your data. Each worksheet is divided into cells, which are identified by a unique combination of a letter and a number. You can enter data into cells by simply clicking on them and typing. To move between cells, you can use the arrow keys or the tab key. The formula bar is located above the worksheet and displays the contents of the currently selected cell. If the cell contains a formula, you can view and edit the formula in the formula bar. In addition to the ribbon, worksheet, and formula bar, Excel has several other features that can help you navigate your data more efficiently. For example, you can use the tabs at the bottom of the window to switch between sheets or workbooks. You can also customize your workspace by using different views, such as page layout, normal view, or full screen. Essential Excel Functions and Formulas Excel functions and formulas are the backbone of any spreadsheet. With them, you can perform basic arithmetic, calculate averages, generate random numbers, and much more. One of the most commonly used functions is "SUM," which adds up a range of cells. You can also use built-in formulas like "AVERAGE," "IF," "COUNT," and "MAX" to analyze and manipulate data. Once you're comfortable with the basics, you can move on to more advanced formulas like "VLOOKUP," which searches for a value in a large dataset, and "HLOOKUP," which searches horizontally instead of vertically. You can also create your own custom formulas using Excel's formula language, which allows you to combine functions and operators to perform complex calculations. Formatting and Customizing Your Spreadsheet Formatting your spreadsheet can make it easier to read and more visually appealing. Excel offers a wide range of formatting options, including changing the font, font size, and font color of cells, as well as applying different cell borders and shading. You can also modify the column width and row height to fit your data, and even merge cells together for a cleaner look. In addition to formatting your data, you can also customize your ribbons and toolbars to make Excel work more efficiently for you. For example, you can add or remove buttons, create custom groups, or even create your own macros. Macros are sets of instructions that automate repetitive tasks, such as formatting or data entry, saving you time and effort. Overall, Excel is a powerful tool that can help you organize and analyze your data quickly and efficiently. By mastering the basics of navigating the interface, using functions and formulas, and formatting your spreadsheet, you can unlock the full potential of Excel and take your data analysis to the next level. Advanced Excel Techniques Utilizing PivotTables and PivotCharts PivotTables are one of the most powerful data analysis tools in Excel. With them, you can summarize a large dataset quickly and easily. All you need to do is highlight your data, click "Insert PivotTable," and choose the location where you want to put it. You can then drag and drop fields into specific areas to create your customized report. PivotTables also allow you to create PivotCharts, which are visual representations of your data that can help you identify trends and outliers more easily. With a PivotChart, you can slice and dice your data with different filters and view the results in real-time. Mastering VLOOKUP and HLOOKUP Functions The VLOOKUP and HLOOKUP functions are essential when searching for data in large datasets. VLOOKUP stands for "vertical lookup" and searches for a specific value in the first column of a dataset, returning the value in a specified column. HLOOKUP, which stands for "horizontal lookup," searches for the value in the first row and returns the specified value from a column. These functions can be used to combine datasets, extract relevant information, or perform analysis based on specific criteria. Conditional Formatting and Data Validation Conditional formatting allows you to highlight cells or rows that meet certain criteria. For example, you can use conditional formatting to highlight all cells that contain a certain word or phrase, or all values that are above or below a certain threshold. This can help you make your data more visually appealing or easy to read. Data validation is another useful tool that ensures the data entered into a cell meets specific requirements. For example, you can set data validation to only allow whole numbers, dates within a certain range, or values selected from a dropdown list. Working with Macros and VBA If you find yourself performing the same repetitive tasks over and over again, macros can help you automate them. A macro is essentially a set of instructions that tell Excel how to perform a specific task. You can record a macro by performing the task once, then save it for future use. Macros can be as simple or complex as you need them to be, and once you've mastered them, you can move on to Visual Basic for Applications (VBA), which allows you to write your own programs and automate even more tasks. Time-Saving Excel Shortcuts Keyboard Shortcuts for Navigation and Selection Learning keyboard shortcuts can save you a lot of time when navigating and selecting data in Excel. For example, you can press "Ctrl+End" to go to the last cell in a worksheet, or "Ctrl+Shift+Right Arrow" to select all the cells in a row. You can also use the arrow keys to navigate quickly between cells, and press "Enter" to move down a cell or "Tab" to move to the next cell in the same row. Some other useful shortcuts include "Ctrl+C" to copy data, "Ctrl+V" to paste data, and "Ctrl+Z" to undo your last action. Shortcuts for Formatting and Editing In addition to navigation and selection shortcuts, there are also many shortcuts you can use when formatting and editing your data. For example, you can press "Ctrl+B" to make text bold, "Ctrl+U" to underline text, and "Ctrl+I" to make text italic. You can also use "Ctrl+Shift+F" to open the font dialog box, or "Ctrl+Shift+P" to open the format cells dialog box. When editing data, you can use "F2" to enter edit mode, or "Ctrl+Arrow" to move to the end of the current data region. Function and Formula Shortcuts An important part of becoming an Excel expert is learning function and formula shortcuts. For example, you can use "Alt+=" to automatically sum a range of cells, or "Ctrl+Shift+Enter" to enter an array formula. You can also use "Ctrl+E" to activate the Flash Fill feature, which automatically fills in data based on patterns it recognizes. Additionally, you can use "F4" to repeat your last action, or "F9" to evaluate a formula. Data Analysis and Visualization in Excel Creating and Customizing Charts Charts are a powerful way to visually represent your data, and Excel has many built-in chart types that you can use. To create a chart, simply highlight your data and click on the chart icon in the ribbon. You can then choose the type of chart you want to create and customize it to suit your needs. Some common chart types include line charts, bar charts, pie charts, and scatter plots. You can also change the chart's color scheme, add titles and labels, and customize the axis. Analyzing Data with Power Query Power Query is a free add-in for Excel that allows you to search, transform, and merge data from multiple sources into a single dataset. With Power Query, you can perform complex data transformations with ease, such as splitting columns, combining data from multiple rows, or creating calculated columns. Once you have your data in the format you need, you can load it into Excel and analyze it using PivotTables or other tools. Forecasting and Trend Analysis Excel has several built-in tools that allow you to perform forecasting and trend analysis based on historical data. For example, you can use the "TREND" function to predict future values based on a linear trend, or the "FORECAST" function to forecast future values based on other data points. You can also use the "LINEST" function to perform a regression analysis, which helps you identify the relationship between two or more variables. Finally, you can use a variety of charts and graphs to visualize trends and patterns in your data, and analyze them accordingly. Conclusion Mastering Excel takes time and practice, but with the right tips and tricks, you can become an expert in no time. By utilizing the basic and advanced techniques, time-saving shortcuts, and data analysis and visualization tools that Excel has to offer, you can streamline your workflow, gain insights from your data, and present it in a visually appealing way. Whether you use Excel for work or personal projects, this powerful tool can help you achieve your goals with ease. What are your suggestions to for mastering Excel skills? From us Check out our Free Tutorials Join one one one structured 40 hours training program
  16. Artificial Intelligence (AI) tools have revolutionized the way we work, learn, and live. These tools are designed to help us automate mundane tasks, analyze large amounts of data, and make better decisions. They have been used in a variety of industries, such as healthcare, finance, marketing, and manufacturing. However, despite the numerous benefits of AI tools, there are also concerns about their potential impact on jobs, privacy, and ethics. One of the main benefits of AI tools is their ability to automate repetitive tasks, which can save time and increase productivity. For example, chatbots can help businesses provide customer support 24/7, while predictive analytics tools can help finance professionals make investment decisions based on real-time data. These tools can also help us analyze large amounts of data more quickly and accurately than humans can. However, some experts have raised concerns about the potential impact of AI tools on jobs. While these tools can help automate certain tasks, they may also lead to the displacement of workers. For example, self-driving trucks and drones may replace human delivery drivers and pilots in the future. To address these concerns, it's important for policymakers, businesses, and educators to invest in reskilling programs and support a smooth transition to a more automated workforce. Another concern is privacy. AI tools often rely on collecting and analyzing large amounts of data, which can raise privacy concerns. For example, facial recognition technology can be used to track people without their knowledge or consent. To mitigate these risks, it's important for companies to prioritize data privacy and security in the development and deployment of AI tools. Finally, there are ethical concerns around the use of AI tools, particularly around bias and discrimination. AI tools are only as unbiased as the data they are trained on, and if that data is biased, the tool will produce biased results. For example, facial recognition technology has been found to be less accurate for people with darker skin tones. To address these issues, it's important for companies to prioritize diversity and inclusion in their data collection and AI development processes. AI tools have the potential to significantly improve our lives and businesses, but it's important to consider their potential impact on jobs, privacy, and ethics. By taking a thoughtful and responsible approach to the development and deployment of AI tools, we can ensure that these tools are used in a way that benefits society as a whole. We invite you to join us in open talk on AI Tools Which AI tool has changed your life ?
  17. Zoom the sheet, so sleected range of ceels filled the entire window This can help you and your audience to focus on a specific area of the sheet
  18. The ideal world 🌈: all your data sources are in your Datawarehouse. (As much up stream as possible) Reality is, users often need a way to give manual input. That can be for: + Budgeting/Forecasting + Making adjustments to reporting logic + Giving in parameters for customers + Indicating Exceptions Importing these sources in Power BI (connecting to a network drive) is often undesired -> your logic now needs to happen in #Powerquery. 📌Question: What's your process to easily get manual sources into your Datawarehouse? (Excel, Sharepoint lists, CSV etc) P.S. Not all customers have a dedicated BI team with the knowledge there. I'm interested in both simple and advanced solutions.
  19. What is the difference between workspace and App in Power BI ?
  20. What is Bard, Google’s answer to ‘ChatGPT’: A closer look at the announcement, timing ChatGPT in many ways is being called the end of Google Search, given that conversational AI can give long, essay style and sometimes elegant answers to a user’s queries. For Google, whose core business is search, this has resulted in a ‘code red’ at the company. Bard is based on LaMDA and Google’s own conversational AI chatbot. It is what Pichai termed an “experimental conversational AI service,” and Google will be “opening it up to trusted testers ahead of making it more widely available to the public in the coming weeks.”
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