By Robert Bosco J
Leverage the functions of the Microsoft Excel PowerPivot add-on to create complex BI suggestions review the best way to create complicated BI recommendations fast and successfully utilizing easy-to-follow, step by step examples comprehend the main rules of PowerPivot with assistance from real-time examples notice extra approximately a few fascinating DAX capabilities with examples of ways they paintings intimately enterprise intelligence expertise supplies a firm the ability to make judgements utilizing huge volumes of knowledge. by way of acquiring an enough volume of knowledge and integrating info from quite a few assets, a person can get a finished wisdom in their company and company thoughts. PowerPivot is a loose add-in to the 2010 model of the spreadsheet software MS Excel. It extends the features of the PivotTable facts summarization and cross-tabulation function with new good points corresponding to accelerated facts capability, complex calculations, the power to import information from a number of assets, and the power to put up workbooks as interactive net functions. PowerPivot for complicated Reporting and Dashboards will educate you the basics of PowerPivot in addition to tips on how to use the various info kinds on hand. This ebook additionally discusses valuable counsel and tips for dealing with and resolving mistakes that would pop up whereas growing your file. With this booklet, it is possible for you to to create correct BI studies speedy and successfully. relocating on from the fundamentals, this e-book will clarify the categories of information assets that may be imported into PowerPivot. you are going to then delve into relationships, hierarchies, and information version production utilizing imported info. additionally, you will easy methods to hire DAX capabilities to rework unstructured information into based facts. ultimately, this publication will train you ways to create studies resembling Pivot Tables, Pivot Charts, Slicers, KPIs, and point of view studies utilizing PowerPivot and the way to post them utilizing the SharePoint server. What you'll study from this e-book set up PowerPivot and realize the right way to use it find out about the knowledge reminiscence constraints for the 32-bit and 64-bit models discover the checklist of information resources that may be imported into PowerPivot workbooks comprehend the aim of uploading facts post stories utilizing the SharePoint server find out about the knowledge refresh approach in keeping with the knowledge resource procedure A step by step instructional with centred examples that builds steadily from easy to complicated issues and is helping you create company intelligence experiences and dashboards fast and successfully utilizing the PowerPivot add-in. Who this booklet is written for This publication is perfect for facts analysts, reporting and MIS pros, company analysts, managers, dashboard makers, company intelligence pros, self-service enterprise intelligence body of workers, and scholars. it truly is assumed that you've simple information research talents and intermediate point Excel abilities. Familiarity with Pivot Tables in addition to easy wisdom of VBA scripting and SharePoint could be precious yet no longer beneficial.
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I dedicate this book to my parents, John Peter and Sepasthi, for educating me and supporting me in pursuing my Master's. I would like to thank my elder and younger sisters, Anitha and Femina, who have always encouraged me in order to grow in my career. I pass on my gratitude to all my professors from Université Tours François Rabelais for introducing me to the world of Business Intelligence technologies. Thanks to them, I was able to write this book, and my heartfelt gratitude to my colleagues Chandramouly P, Nooman Hussain, and Parag Mohite for their help and suggestions in the editing process of this book.
A star query is a join between a fact table and a number of dimension tables. Each dimension table is joined to the fact table using a primary key to a foreign key join, but the dimension tables are not joined to each other. A typical fact table contains keys and measures. For example, in the sample schema (in the preceding diagram), the SalesFact table, contains measures such as units_sold, dollars_sold, and avg_sales, and keys such as time_key, item_key, branch_key, and location_key. The dimension tables are time, branch, item, and location.
As discussed in Chapter 1, Principles and Installing PowerPivot, there are three principles in PowerPivot; the first principle is Preparation, which is displayed in a red colored box in the following figure: Preparation for data analysis The most important thing is that a lot of users may have both structured and unstructured data coming from a variety of sources (for their urgent data analysis). The usage of the DAX formula in PowerPivot will solve this heterogeneous problem. Examples explaining the structured and unstructured data are given in the General Overview of ETL section of this chapter.