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 9. Data Analysis with Microsoft SQL Server

We have come to the final chapter, and to say that we've covered quite a bit of information would be an understatement. If you've made it this far then you'll notice that business intelligence covers a broad spectrum of interrelated topics, methodologies, and technologies.

"The ability to apprehend the interrelationships of presented facts in such a way as to guide actions towards a desired goal."                                                                                        - IBM researcher Hans Peter Luhn

While the term "business intelligence" was first coined by Hans Peter Luhn of IBM in 1958, it was still only intended for backend folks concentrated on the IT side. BI became commercialized once data warehouses became more readily available in the 1980s and the personal computer became more accessible in the 1990s. Each decade since has seen the introduction of new BI tools by new vendors looking to bridge the gap between business...