Beginning Power BI with Excel 2013

Self-service Business Intelligence using Power Pivot, Power View, Power Query and Power Maps

By Dan Clark

Beginning Power BI with Excel 2013 Cover Image

Understanding your company’s data has never been easier than with Microsoft’s new Power BI package for Excel 2013. Consisting of four powerful tools—Power Pivot, Power View, Power Query and Power Maps—Power BI helps Excel users, business analysts and IT experts work together for maximum business insight.

Full Description

  • ISBN13: 978-1-4302-6445-3
  • User Level: Beginner to Intermediate
  • Publishing September 15, 2014, but available now as part of the Alpha Program
  • Available eBook Formats: EPUB, MOBI, PDF
  • Print Book Price: $39.99
  • eBook Price: $27.99

Related Titles

Full Description

Understanding your company’s data has never been easier than with Microsoft’s new Power BI package for Excel 2013. Consisting of four powerful tools—Power Pivot, Power View, Power Query and Power Maps—Power BI makes self-service business intelligence a reality for a wide range of users, bridging the traditional gap between Excel users, business analysts and IT experts and making it easier for everyone to work together to build the data models that can give you game-changing insights into your business.

Beginning Power BI with Excel 2013 guides you step by step through the process of analyzing and visualizing your data. Daniel R. Clark, an expert in BI training and a regular speaker on these topics, takes you through each tool in turn, using hands-on activities to consolidate what you’ve learned in each chapter.

Starting with Power Pivot, you will create robust scalable data models which will serve as the foundation of your data analysis. Once you have mastered creating suitable data models, you will use them to build compelling interactive visualizations in Power View. It’s often necessary to combine data from disparate sources into a data model. Power Query allows you to easily discover, combine, and refine data from a variety of sources, so you can make accurate judgments with all the available information. Geographical awareness is another common requirement of data analysis. Using Power Maps you will create fascinating visualizations that map your data in space and time.

Beginning Power BI with Excel 2013 is your practical guide to getting maximum insight from your data, and presenting it with impact.

What you’ll learn

  • Import data from a range of sources into the Power Pivot Model
  • Create solid data models to support data analysis
  • Create compelling dashboards in Excel
  • Use Power View to create robust Interactive Data Presentations
  • Simplify data discovery, association and cleansing with Power Query
  • Combine analytical and geographic data in powerful 3D visualizations using Power Maps

Who this book is for

Beginning Power BI with Excel 2013 is for business analysts, database administrators and developers who need to work together to analyze and interpret their company’s data. Good modeling design and the necessary math will be covered in an accessible way for those without a specialist background in these areas.

Table of Contents

Table of Contents

Introduction: The Power BI Toolset: Power Pivot, Power View, Power Query and Power Maps

Part I - Building Models in Power Pivot
Chapter 1: Introducing Power Pivot
Chapter 2: Importing Data into Power Pivot
Chapter 3: Creating the Data Model
Chapter 4: Creating Calculations with DAX
Chapter 5: Creating Measures with DAX
Chapter 6: Incorporating Time Intelligence
Chapter 7: Data Analysis with Pivot Tables and Charts

Part II – Building Interactive Reports and Dashboards with Power View
Chapter 8: Optimizing Tabular Models for Power View
Chapter 9: Creating Standard Reports with Power View
Chapter 10: Creating Interactive Reports with Power View

Part III – Exploring and presenting Data with Power Query and Power Maps
Chapter 11: Data Discovery with Power Query
Chapter 12: Presenting Data with Impact in Power Maps
Chapter 13: Predictive Analytics with the Data Mining Tools
Chapter 14: Case Study: Putting it all Together

Errata

Please Login to submit errata.

No errata are currently published