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)

E-commerce data model design process


Importation of three tables, namely, User, Invitation, and Departments has been done. The Departments table is not related to any tables since they were imported as a flat file, but there is a need to create a relationship and to make a good logical design in order to make reports and analysis.

The most vital thing is that the User and Invitation tables were imported from a relational database and precisely it contains transaction data. This means the tables are created based on the index and optimization and stored as physical models as the Gender attribute has values 1 and 2, where 1 denotes male and 2 denotes female. But the users must make everything into a logical model, since the end user will be able to understand easily, otherwise if we provide inputs such as 1 and 2, they won't understand; also, it's not the way reporting should be done. When we provide the report to the end user, they must easily understand all the data in it just by glancing...