Book Image

Practical Business Intelligence

Book Image

Practical Business Intelligence

Overview of this book

Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis. Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business. The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company. It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market.
Table of Contents (16 chapters)
Practical Business Intelligence
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Chapter 3. Analysis with Excel and Creating Interactive Maps and Charts with Power BI

Microsoft Excel is known by many in the field as the grandfather of business intelligence. This may very well be due to the fact that your grandfather was a member of the first generation of analysts to use Excel. All kidding aside, for many years within the corporate world, Excel was the primary tool used to analyze data from a data warehouse as well as to build reports. This is due to many reasons but primarily due to the fact that almost all companies have licenses with Microsoft and so analysts, developers, and managers can conveniently access Excel's capabilities with minimal effort. Specifically, it is difficult to imagine a finance department not leveraging some form of reporting with Excel.

In the last 20 years there has been a conscious effort to push users away from establishing a BI platform built on top of Excel and instead to move towards other tools, which will be discussed in more detail later...