Basic Excel Business Analytics - Comprehensive PowerPivot, Data Model, DAX & Reporting Example

Basic Excel Business Analytics - Comprehensive PowerPivot, Data Model, DAX & Reporting Example

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) Info about files for project

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Basic Excel Business Analytics - Comprehensive PowerPivot, Data Model, DAX & Reporting Example

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  1. 1 ) Info about files for project
  2. 2 ) Intro to Video and look at end result reports
  3. 3 ) Overview of steps in building a Data Model in PowerPivot
  4. 4 ) Look at source data files including text files with 5 million rows of records
  5. 5 ) From Text Files, use Power Query to import 5 million rows of transactional sales data into the a Fact Table in the Data Model in PowerPivot
  6. 6 ) From Excel file, use Power Query to import Product Retail and Standard Cost Dimension Table into the Data Model in PowerPivot
  7. 7 ) Build Calendar Dimension Table in Excel and then use Power Query to import into the Data Model in PowerPivot
  8. 8 ) From web get ISO 3166-1 County Code Data to build and then use Power Query to import Country Code Dimension Table into the Data Model in PowerPivot
  9. 9 ) Build One-to-Many Relationships between Fact Table and Dimension Tables
  10. 10 ) Build DAX Calculated Column for Net Revenue for each transaction. See the DAX functions: RELATED (Like VLOOKUP in Excel) and ROUND.
  11. 11 ) Build DAX Measure (Calculated Field) for Total Net Revenue (Overall Total Net Revenue for entire Fact table). See the DAX function: SUM.
  12. 12 ) Build PivotTable to see that the relationships are working and that we can pull fields from Dimension Tables and Fact Tables.
  13. 13 ) Build PivotTable Report to show Net Revenue for each Country.
  14. 14 ) “Trouble Shooting” Part of Example: Tracking Down Error between web site data and company data, including finding error and updating Country Code Excel Table and refreshing the linked table in the …
  15. 15 ) Hide Fields from Field Lists using “Hide From Client Tools”
  16. 16 ) Build PivotTable to see that with a Data Model PivotTable you can NOT group Dates
  17. 17 ) Create DAX Calculated Column for Month Number and Month Name. See the DAX functions: MONTH and FORMAT (Like TEXT in Excel).
  18. 18 ) Build PivotTable to see that Month Name does NOT sort correctly in a Data Model PivotTable.
  19. 19 ) Learn how to Sort Month Name column by Month Number so that Month Name sorts correctly in a data Model PivotTable
  20. 20 ) Build relationship between Calendar Table and Fact Table
  21. 21 ) Build PivotTable Report to show Net Revenue by Month
  22. 22 ) Create DAX Calculated Column for Year. See the DAX function: YEAR.
  23. 23 ) Build PivotTable Report to show Net Revenue by Month & Year
  24. 24 ) Build DAX Calculated Column for COGS for each transaction. See the DAX functions: RELATED (Like VLOOKUP in Excel) and ROUND.
  25. 25 ) Build DAX Measure (Calculated Field) for Total COGS (Overall Total COGS for entire Fact table). See the DAX function: SUM.
  26. 26 ) Build DAX Measure (Calculated Field) for Gross Profit using Measures (Calculated Fields) in our DAX formula.
  27. 27 ) Build PivotTable Report to show Net Revenue, COGS and Gross Profit for each Year and Month.
  28. 28 ) Build PivotTable Report to show Percentage Change for Net Revenue over Same Period Last Year.
  29. 29 ) Build DAX Measure (Calculated Field) for Percentage Change over Same Period Last Year using the DAX functions: CALCULATE, SAMEPERIODLASTYEAR and IF.
  30. 30 ) Build PivotTable Report to show Percentage of Grand Total for Each Product. Concept behind the formula.
  31. 31 ) Build DAX Measure (Calculated Field) for Percentage of Grand Total using the DAX functions: CALCULATE and ALL.
  32. 32 ) Refresh Reports when source data changes. In our example we bring 7 million rows into the Excel PowerPivot Data Model.
  33. 33 ) Update Calendar table
  34. 34 ) Summary and Conclusion.

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