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Prac tical PowerPivot & DAX Formulas for Excel 2010
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we realized that there was no way users would ever drop Excel Even if we gave them something else, they would keep using Excel behind the scene as a shadow application All users ask is that whatever tool you give them has one and only one feature: Export to Excel That feature is the only common denominator between every single data or BI software tools on the planet today! So that is when we had our Ah-ha moment: Let s not fight Excel; let s embrace it! The way to build the BI sandbox is to provide an Excel-based environment for users to do what they need, better than the way they do it with raw Excel But and here was the critical moment let s make sure that when users use this environment, it is in an IT-managed workspace or infrastructure And here the concept of Managed Self-Service BI was born Self-Service BI has been there forever whether called by that name or not, it has been there But before PowerPivot, Self-Service equated to tools enabling users to build tons of disconnected, uncontrolled, unmanaged islands of data We wanted the BI Sandbox environment to be attractive to business users: We wanted to make it super easy to load data from enterprise and non-enterprise data sources or from structured and non-structured data sources, to build models using Excel language and formulae, and to build reports using Excel Pivottable and Pivotchart or any other BI tools (Reporting Services, PerformancePoint, or any third-party tool that knows how to talk MDX) But we also wanted to make sure that when this happened, the business users work in this environment would be properly saved and backed up, and the data would be refreshed regularly from the data sources so that the data didn t become stale We also wanted to make it easy for people to collaborate with this work without duplicating these workbooks all over the place in the file or email systems; and we also wanted to be able to provide usage pattern statistics Now this would make it both valuable to business users as well as IT What if IT were able to have knowledge of the existence of these special workbooks, know what data sources they use, and when they are refreshed And more importantly, what if IT knew when the refresh failed and why, who is using the data sources, how big they are, and how many people are using them, so that they can ensure that these models live on the appropriately provisioned machines, but can do all of this without necessarily even having access to the content of the workbooks themselves Because, after all, these workbooks are the users property and none of IT s business Now that is Managed Self-service BI And because of the duality of this value proposition both to the IT and business users, we needed a new name Twin values to the two big population categories in an enterprise: The IT folks and the business user folks And that is how the Gemini code name was born: The Twins So now you know all about the history and value proposition of this project, which grew from within a few folks minds in 2007 (including Olivier Matrat, who was the first program manager on the project and who also tech edited this book) to what it became when we released it with SQL Server 2008 R2 in 2010 This book focuses
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Foreword
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xvii
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mostly on introducing the reader to the bells and whistles of the PowerPivot add-in for Excel It does an excellent job of walking the reader through every single capability, highlighting its value and providing many different examples of how to best use it This book will be handy at first when you are using the first few chapters to get a handle on the tool and get started, but it will remain very handy for years when new business questions arise and you need to build a specific business rule or logic and you need a specific function, as this book does an excellent job highlighting how to best use all the Excel-like functions as well as all the new PowerPivot functions, such as Time navigation functions or even table lookup type functions This book might start on a night table but will most likely migrate and remain on the desk at work for months to come I hope you will enjoy its reading as much as we have enjoyed building this product and all of the capabilities you will discover through this book Thierry D hers Group Program Manager Microsoft SQL Server Business Intelligence
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