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Microsoft Power BI Quick Start Guide

Microsoft Power BI Quick Start Guide

By : Devin Knight, Erin Ostrowsky, Mitchell Pearson , Bradley Schacht, Schacht
4.5 (49)
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Microsoft Power BI Quick Start Guide

Microsoft Power BI Quick Start Guide

4.5 (49)
By: Devin Knight, Erin Ostrowsky, Mitchell Pearson , Bradley Schacht, Schacht

Overview of this book

Updated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You’ll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI. Throughout this book, you’ll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You’ll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there’s an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling. As you progress, you’ll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You’ll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented. By the end of this Power BI book, you’ll know how to get the most out of Power BI for better business intelligence.
Table of Contents (13 chapters)
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11
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12
Index

The challenge facing organizations with low data literacy

With the amount of data collected, one would assume that every organization treats the data they collect as an incredibly prized resource. However, that’s far from true. Many organizations are struggling to understand the meaning behind key business metrics and how those metrics should serve as indicators for driving timely business decisions.

Many organizations lack the skills required to properly show the value behind their data. Other companies take the approach of having only a select few that specialize in understanding and utilizing their data. While this strategy is better than complete data ignorance, it’s still as if every organization has amassed a collection of the world’s most important books for gaining knowledge but only a small percentage of employees actually know how to read.

More forward-thinking companies realize that data in the hands of just a few experts creates a bottleneck, and the optimal strategy is to democratize data to the masses. As organizations grow, it’s easy to become overwhelmed with these problems, but if companies don’t put an emphasis on treating data as an asset, they will quickly fall behind competitors who put a priority on data literacy.

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