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
Title Page
About the Authors
End User License Agreement

Claim Transactions

The operational claim processing system generates a slew of transactions, including the following transaction task types:

  • Open claim, reopen claim, close claim
  • Set reserve, reset reserve, close reserve
  • Set salvage estimate, receive salvage payment
  • Adjuster inspection, adjuster interview
  • Open lawsuit, close lawsuit
  • Make payment, receive payment
  • Subrogate claim

When updating the Figure 16-6 bus matrix, you determine that this schema uses a number of dimensions developed for the policy world. You again have two role-playing dates associated with the claim transactions. Unique column labels should distinguish the claim transaction and effective dates from those associated with policy transactions. The employee is the employee involved in the transactional task. As mentioned in the business case, this is particularly interesting for payment authorization transactions. The claim transaction type dimension would include the transaction types and groupings just listed.