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

Developing an inventory dataset with SQL Server


Before we can visualize the dataset for the inventory dashboard, we must first create the dataset. The goal of our dataset is to identify inventory stock within different warehouses and determine if a reorder is necessary.

The following query built in SQL Server is an example of a product, Adjustable Race, that has an inventory limit lower than the minimum value required for a reorder:

SELECT  
loc.Name as WarehouseName 
,inv.ProductID 
,prod.Name as ProductName 
,sum(inv.Quantity) as Inventory 
,sum(prod.ReorderPoint) as ReorderPoint 
,case when sum(inv.Quantity) > sum(prod.ReorderPoint) then 'N' else 'Y' end as ReorderFlag 
FROM [AdventureWorks2014].[Production].[Location] as loc 
inner join [AdventureWorks2014].[Production].[ProductInventory] as inv on 
loc.LocationID = inv.LocationID 
inner join [AdventureWorks2014].[Production].[Product] as prod on  
prod.ProductID =  inv.ProductID 
 
where Prod.Name = 'Adjustable Race' 
 
group by  ...