Book Image

Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology

By : John Heaton
Book Image

Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology

By: John Heaton

Overview of this book

Oracle Database 11g is a comprehensive database platform for data warehousing and business intelligence that combines industry-leading scalability and performance, deeply-integrated analytics, and embedded integration and data-quality all in a single platform running on a reliable, low-cost grid infrastructure. This book steps through the lifecycle of building a data warehouse with key tips and techniques along the way. Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology outlines the key ways to effectively use Oracle technology to deliver your business intelligence solution. This is a practical guide starting with key recipes for project management then moving onto project delivery. Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology is a practical guide for performing key steps and functions on your project. This book starts with setting the foundation for a highly repeatable efficient project management approach by assessing your current methodology to see how suitable it is for a business intelligence program. We also learn to set up the project delivery phases to consistently estimate the effort for a project. Along the way we learn to create blueprints for the business intelligence solution that help to connect and map out the destination of the solution. We then move on to analyze requirements, sources, and data. Finally we learn to secure the data as it is an important asset within the organization and needs to be secured efficiently and effectively.
Table of Contents (21 chapters)
Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface

Defining the detailed transformations


Identifying and reusing business rules and transformations enables the standardization of these rules across business processes and subject areas.

Getting ready

Gather the business rules from the requirements gathering.

How to do it...

Data Rules differ from report calculations. These rules are the way information is transformed and manipulated. These rules can potentially change or modify the source information.

  1. 1. Open your data lineage spreadsheet and create an additional tab named Data Rules, as shown in the following screenshot:

  2. 2. Add columns to the spreadsheet for Rule #, Rule Type, and Logic, as follows:

  3. 3. Define the different rule types; examples are as follows:

    • Calculation

    • Data Cleansing

    • Data Standardization

It is a good practice to include the source for the data rule, that is, who provided the information to you for the rule and when.

How it works...

Business rules which can be determined and calculated during the information flow are then standardized...