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Business Intelligence & Analytics for Digital Transformation

Saurabh Jain

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Saurabh Jain last won the day on October 10 2023

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About Saurabh Jain

  • Birthday 10/23/1982

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    Jaipur
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    Bi & Analytics
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    Consulting

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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. 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.
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  5. 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.
  6. Here are the 11 AI tools that you need:
  7. 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
  8. "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
  9. Version 1.0.0

    11 downloads

    PPT template
  10. 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.
  11. 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)
  12. 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
  13. 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
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