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

About the Author

Ahmed Sherif has been working in the business intelligence field for over 10 years. He has both an engineering and a business background, which helped him in his first job as a data analyst. Understanding business needs and translating them into technical requirements became second nature. Ahmed started digging into the backend SQL of business intelligence tools such as SAP BusinessObjects, where he started to understand the underlying data model behind the business layout. He used these skills build dashboards and data visualization applications as a consultant for customers who were in need of something more than just spreadsheets.

As a business intelligence consultant, Ahmed has had the opportunity to work with customers from all back end data types. He found a common theme across all of their needs. If the model for the data warehouse is poorly architected on the backend, then it doesn't matter how much technology on the fronted is spent to build a productive business intelligence application. Ahmed has made it his focus to help customers develop useful visualizations from their data.

In 2016 he competed a Masters in Predictive Analytics from Northwestern University, where he focused on machine learning and predictive modeling techniques using SAS, R, and Python. As a data scientist, Ahmed strives to fuse predictive capabilities into business intelligence solutions so that organizations can leverage their data to understand the past as well as the future. He is fascinated by anything data visualization related, especially when it involves politics and sports.

You can follow Ahmed on twitter at @TheAhmedSherif.

I would like to thank Kajal, Vivek, Aishwarya, and Davide for all of their editorial feedback to help make this a high quality publication. Also, I would like to thank my colleague Dallas Marks for suggesting me as an author for this very interesting topic. I'd like to thank my father, Dr. SA Sherif, for helping me with my physics homework in the 11th grade. I'd like to thank my brother, Mohammad Sherif, for getting me into sports analytics with fantasy football. I'd like to thank Dr. Saeed and Patricia Khan for being very cool in-laws. Finally, I'd like to thank my beautiful wife, Dr. Ameena Khan, and my two lovely children, Safiya and Hamza, for all of their love and support as I worked long nights and weekends on this book. I would not have been able to do this without you guys!