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
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Profiling dataframes in R

We will revisit the same dataset from Chapter 4, Creating Bar Charts with D3.js; however, this time it will be retrieved using a SQL statement as opposed to a CSV file. The following SQL statement will return the same data for discount codes by week:

SELECT [WeekInYear] 
   FROM [AdventureWorks2014].[dbo].[DiscountCodebyWeek] 

We can incorporate this same SQL statement inside of a dataframe within R by using the following script:

            'SELECT [WeekInYear]
            FROM [AdventureWorks2014].[dbo].[DiscountCodebyWeek]' )

A dataframe is merely a dataset organized by columns, and the simplest way to get the results of a dataframe is to execute the following script, which will return the first six rows of the dataset:


In addition to retrieving the first few rows of the dataset, we can identify the structure of the...