Book description
This IBM Redbooks publication is primarily intended for use by IBM Clients and IBM Business Partners. The current direction in the Business Intelligence marketplace is towards data mart consolidation. Originally data marts were built for many different reasons, such as departmental or organizational control, faster query response times, easier and faster to design and build, and fast payback.
However, data marts did not always provide the best solution when it came to viewing the business enterprise as a whole. They provide benefits to the department or organization to whom they belong, but typically do not give management the information they need to efficiently and effectively run the business.
In many cases the data marts led to the creation of departmental or organizational data silos (non-integrated sources of data). That is, information was available to the particular department or organization, but was not integrated across all the department’s or organizations. Worse yet, many data marts were built without concern for the others. This led to inconsistent definitions of the data, inconsistent collection of data, inconsistent collection times for the data, and so on. The result was an inconsistent picture of the business for management, and an inability for good business performance management. The solution is to consolidate those data silos to provide management the information they need.
Table of contents
- Notices
- Preface
- Chapter 1: Introduction
- Chapter 2: Data warehousing: A review
- Chapter 3: Data marts: Reassessing the requirement
- Chapter 4: Consolidation: A look at the approaches
- Chapter 5: Spreadsheet data marts
- Chapter 6: Data mart consolidation lifecycle
- Chapter 7: Consolidating the data
- Chapter 8: Performance and consolidation
-
Chapter 9: Data mart consolidation: A project example
- Using the data mart consolidation lifecycle
- Project environment
- Data schemas
-
The consolidation process
- Choose the consolidation approach
- Assess independent data marts
- Understand the data mart metadata definitions
- Study existing EDW
- Set up the environment needed for consolidation
- Identify dimensions and facts to conform
- Design target EDW schema
- Perform source/target mapping
- ETL design to load the EDW from data marts
- Metadata standardization and management
- Consolidating the reporting environment
- Testing the populated EDW data with reports
- Reaping the benefits of consolidation
- Appendix A: Consolidation project example: Table descriptions
- Appendix B: Data consolidation examples
- Appendix C: Data mapping matrix and code for EDW
- Appendix D: Additional material
- Abbreviations and acronyms
- Glossary (1/2)
- Glossary (2/2)
- Related publications
- Index (1/3)
- Index (2/3)
- Index (3/3)
- Back cover
Product information
- Title: Data Mart Consolidation: Getting Control of Your Enterprise Information
- Author(s):
- Release date: August 2005
- Publisher(s): IBM Redbooks
- ISBN: None
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