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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Connecting Excel to SQL Statements


Just as there are tables in SQL Server within our AdventureWorks2014 database for us to query on, there are also predefined views that are available for us to use; for all practical purposes, these views behave exactly the same as tables. The views are available at the following location within SQL Server:

The following script can be used to pull store information such as postal codes and the number of employees:

 SELECT  
 StoreAddress.City as 'City' 
,StoreAddress.Name as 'Store Name' 
,StoreAddress.PostalCode as 'Postal Code' 
,sum(StoreDemo.NumberEmployees) as 'Number of Employees' 
  
 FROM [AdventureWorks2014].[Sales].[vStoreWithAddresses] as StoreAddress 
 INNER JOIN [AdventureWorks2014].[Sales].[vStoreWithDemographics] StoreDemo on 
 StoreAddress.BusinessEntityID=StoreDemo.BusinessEntityID  
  
 Group by  
 StoreAddress.City 
,StoreAddress.Name 
,StoreAddress.PostalCode 
 order...