Book Image

PowerPivot for Advanced Reporting and Dashboards

By : Robert Bosco J
Book Image

PowerPivot for Advanced Reporting and Dashboards

By: Robert Bosco J

Overview of this book

<p>Business intelligence technology gives an organization the power to make decisions using large volumes of data. By obtaining an adequate amount of data and integrating data from a variety of sources, a user can get a comprehensive knowledge of their business and business strategies. PowerPivot is a free add-in to the 2010 version of the spreadsheet application MS Excel. It extends the capabilities of the PivotTable data summarization and cross-tabulation feature with new features such as expanded data capacity, advanced calculations, the ability to import data from multiple sources, and the ability to publish workbooks as interactive web applications.</p> <p>PowerPivot for Advanced Reporting and Dashboards will teach you the fundamentals of PowerPivot as well as how to use the different data types available. This book also discusses useful tips and tricks for handling and resolving errors that might pop up while creating your report. With this book, you will be able to create relevant BI reports quickly and efficiently.</p> <p>Moving on from the basics, this book will explain the types of data sources that can be imported into PowerPivot. You will then delve into relationships, hierarchies, and data model creation using imported data. You will also learn how to employ DAX functions to transform unstructured data into structured data. Finally, this book will teach you how to create reports such as Pivot Tables, Pivot Charts, Slicers, KPIs, and Perspective reports using PowerPivot and how to publish them using the SharePoint server.</p>
Table of Contents (12 chapters)

Summary


This chapter allows the user to explore the features of data model and the fundamental concepts of relationship and hierarchy. The user, by now, should know how the ETL process and DAX expression are performed in PowerPivot, and how to use them to create structured data from unstructured data. Finally, the user will know how data can be homogenized from heterogeneous data.

More precisely, practical information about two industrial data has been clearly explained in order to make a good logical data model design, in which the user will know how to use PowerPivot to create a relationship, hierarchy, and make calculated columns, and do some troubleshooting if they encounter any errors while practising any of the functions. So, finally two different types of logical data model designs have been shown practically.

The next chapter fully covers BI analytical reporting, metrics, KPI, and so on, based on the data model that we have created in this chapter and explains how to make a report...