Book Image

The Data Warehouse Toolkit - Third Edition

By : Ralph Kimball, Margy Ross
5 (1)
Book Image

The Data Warehouse Toolkit - Third Edition

5 (1)
By: Ralph Kimball, Margy Ross

Overview of this book

The volume of data continues to grow as warehouses are populated with increasingly atomic data and updated with greater frequency. Dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) systems. The goal of this book is to provide a one-stop shop for dimensional modeling techniques. The book is authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence. The book begins with a primer on data warehousing, business intelligence, and dimensional modeling, and you’ll explore more than 75-dimensional modeling techniques and patterns. Then you’ll understand dimension tables in-depth to get a good grip on retailing and moved towards the topics of inventory. Moving ahead, you’ll learn how to use this book for procurement, order management, accounting, customer relationship management, and many more business sectors. By the end of this book, you’ll be able to gather all the essential knowledge, practices, and patterns for designing dimensional models.
Table of Contents (31 chapters)
Free Chapter
1
Cover
2
Title Page
3
Copyright
4
About the Authors
5
Credits
6
Acknowledgements
29
Index
30
Advertisement
31
End User License Agreement

Value Chain Integration

Now that we’ve completed the design of three inventory models, let’s revisit our earlier discussion about the retailer’s value chain. Both business and IT organizations are typically interested in value chain integration. Business management needs to look across the business’s processes to better evaluate performance. For example, numerous DW/BI projects have focused on better understanding customer behavior from an end-to-end perspective. Obviously, this requires the ability to consistently look at customer information across processes, such as quotes, orders, invoicing, payments, and customer service. Similarly, organizations want to analyze their products across processes, or their employees, students, vendors, and so on.

IT managers recognize integration is needed to deliver on the promises of data warehousing and business intelligence. Many consider it their fiduciary responsibility to manage the organization’s information...