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You're reading from  Microsoft Power BI Cookbook. - Second Edition

Product typeBook
Published inSep 2021
PublisherPackt
ISBN-139781801813044
Edition2nd Edition
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Authors (2):
Gregory Deckler
Gregory Deckler
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Gregory Deckler

Greg Deckler is a 7-time Microsoft MVP for Data Platform and an active blogger and Power BI community member, having written over 6,000 solutions to community questions. Greg has authored many books on Power BI, including Learn Power BI 1st and 2nd Editions, DAX Cookbook, Power BI Cookbook 2nd Edition and Mastering Power BI 2nd Edition. Greg has also created several external tools for Power BI and regularly posts video content to his YouTube channels, Microsoft Hates Greg and DAX For Humans.
Read more about Gregory Deckler

Brett Powell
Brett Powell
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Brett Powell

Brett Powell is the owner of and business intelligence consultant at Frontline Analytics LLC, a data and analytics research and consulting firm and Microsoft Power BI partner. He has worked with Power BI technologies since they were first introduced as the PowerPivot add-in for Excel 2010 and has been a Power BI architect and lead BI consultant for organizations across the retail, manufacturing, and financial services industries. Additionally, Brett has led Boston's Power BI User Group, delivered presentations at technology events such as Power BI World Tour, and maintains the popular Insight Quest Microsoft BI blog.
Read more about Brett Powell

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Forecasting with what-if analysis

Power BI can be used to directly support the creation of forecasts, budgets, and other planned values of future business measures and events. The relationships and logic of these datasets, which are commonly implemented in Excel formulas and maintained by business teams, can be efficiently replicated within a dedicated Power BI Desktop file. Isolating the what-if input variables from the forecast creation, storage, and visualization in Power BI enables users to more easily create, analyze, and collaborate on business forecasts.

In this recipe, a Power Desktop model is used to ingest forecast-variable inputs from Excel, and process these variables with a dynamic transformation process to generate a forecast table available for visualization. This design enables business teams to rapidly iterate on forecasts, and ultimately supports an official or approved forecast or plan that could be integrated with other data models.

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Microsoft Power BI Cookbook. - Second Edition
Published in: Sep 2021Publisher: PacktISBN-13: 9781801813044

Authors (2)

author image
Gregory Deckler

Greg Deckler is a 7-time Microsoft MVP for Data Platform and an active blogger and Power BI community member, having written over 6,000 solutions to community questions. Greg has authored many books on Power BI, including Learn Power BI 1st and 2nd Editions, DAX Cookbook, Power BI Cookbook 2nd Edition and Mastering Power BI 2nd Edition. Greg has also created several external tools for Power BI and regularly posts video content to his YouTube channels, Microsoft Hates Greg and DAX For Humans.
Read more about Gregory Deckler

author image
Brett Powell

Brett Powell is the owner of and business intelligence consultant at Frontline Analytics LLC, a data and analytics research and consulting firm and Microsoft Power BI partner. He has worked with Power BI technologies since they were first introduced as the PowerPivot add-in for Excel 2010 and has been a Power BI architect and lead BI consultant for organizations across the retail, manufacturing, and financial services industries. Additionally, Brett has led Boston's Power BI User Group, delivered presentations at technology events such as Power BI World Tour, and maintains the popular Insight Quest Microsoft BI blog.
Read more about Brett Powell