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

Developing your semantic data model


The semantic data model is a business model that outlines the relationships between entities. The semantic data model is the model that the business users will use to interact and retrieve information from the Business Intelligence and Data Warehouse solution.

Getting ready

Before you can build the semantic data model, you need to ensure you have a good sampling of the metrics, analysis, and reports. Also, you need to understand another key definition:

  • Business Event: This is an entity that is a result of a business operation or event. For example, orders, invoices, shipments, and payments.

How to do it...

Understanding the relationship between the entities will enable you to determine how the information relates to each other and how it can be used. It is the key to depict and define these relationships.

  1. 1. Open your process and entity diagram.

  2. 2. Open the entity page.

  3. 3. Arrange the business events in the same sequence as the business process flow:

  4. 4. Arrange...