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

Chapter 2. Web Scraping

The amount of data created each day on the Internet is quite staggering. Much of this data is created on social media websites as well as individual blogs. We also have data that we create from our cell phones, tablets, and wearable devices. According to the following website ( in 2015 IBM reported that the average amount of data created per day is approximately 2.5 quintillion bytes. It would be useful to any organization to get their hands on this data and make sense out of it. This is where web scraping comes into play.

Simply put web scraping is a technique to extract data from different websites, manipulate the data into a structured format, and then save the data to local files for consumption and reporting. We've all probably done some form of web scraping in the past even though we may not have known it as the time.

In the previous chapter, Introduction to Practical Business Intelligence...