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

Chapter 12. Enhancing the Data

When building data warehouse/business intelligence solutions, it is normal for data gaps to be present. These are typically key pieces of information required to match information or perform some analysis, or could be as simple as updating descriptive information. Enhancing the source application is often not an option due to cost, and/or limitations in the application.

The data gaps are normally fixed through manual processes that involve submitting requests for data modifications within the data warehouse/business intelligence environment, or building an application to enable users to manage their own data gaps. The following recipes will help you automate the process of enhancing the data within the data warehouse:

  • Creating your application schema

  • Creating your application tables

  • Developing the journal tables to track changes

  • Defining the audit triggers

  • Defining the APEX Upload application

  • Creating the Upload interface

Introduction

In a business intelligence and...