Book Image

Practical Business Intelligence

By : Ahmed Sherif
Book Image

Practical Business Intelligence

By: Ahmed Sherif

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
About the Author
About the Reviewer
Customer Feedback

Working with data and SQL

The examples and exercises that will be utilized in this book will come from the AdventureWorks database. This database has a comprehensive list of tables that mimics a fictional bicycle retailer called AdventureWorks. The examples in this book will draw on different tables from the database to highlight BI reporting from various segments appropriate for the AdventureWorks organization. The areas that we will report on for the AdventureWorks organization are the following:

  • Human resources

  • Inventory

  • Sales

  • Discounts

A different segment of the data will be highlighted in each chapter, utilizing a specific set of tools. We've already mentioned SQL earlier on in this chapter. SQL or Structured Query Language is the programming language used by databases to communicate relationships between all of the tables in their system. The beauty of SQL is that is pretty much universal with regard to how the tables communicate with each other. A cursory understanding of SQL will be helpful to get a grasp of how data is being aggregated with dimensions and measures. Additionally, an understanding of the SQL statements used will help with the validation process to ensure a single source of truth between the source data and the output inside the BI tool of choice.

Every database environment, whether it is Oracle, Teradata, SAP, or Microsoft, will use a slightly modified version of SQL syntax. The essence is the same but the formatting may be slightly different. Since we will be using Microsoft SQL Server to develop our SQL statements, it will be important for us to become familiar with its formatting and syntax. For more information about learning Microsoft SQL syntax, visit the following website: