| Description |
xiii, 196 pages : illustrations ; 23 cm |
| Contents |
Machine derived contents note: Information Enterprises: The Early Innovators. -- The Case for Utilising Corporate Data: The Basis for Strategy. -- The History of Decision Support Systems: A Record of Failure. -- Defining the Business Requirements: Building an ̀Enterprise Model'. -- Mass Customisation of Products and Services--The Future Trend. -- Aligning the Data Warehouse with Organisational Culture--A Key Concern. -- Managing a Pan-Corporate Project--A Planning and Sponsorship Model. -- Justifying a Corporate Data Warehouse--The Business Case. -- Building the Corporate Data Warehouse--An Architectural Model. -- Choosing the Right Platform--The Technology Options. -- The Future--Threats and Opportunities. -- References. -- Index |
| Summary |
Data exists in abundance but it is often unusable to support decision making because it is unstructured, unintegrated, aged or polluted. Data warehousing explores the issue whether to build a full enterprise data warehouse, or whether to go for a scaled down "data mart" It is updated to include the latest developments, acronyms, and techniques, and compares and contrasts relational and multidimensional databases It also evaluates the use of data warehousing to support operational processing reports on innovative designs for optimal performance of relational databases for a "query intensive" world analyzes artificial intelligence data mining tools |
| Bibliography |
Includes bibliographical references (pages [195]-196) and index |
| Subject |
Business planning -- Data processing.
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Data warehousing.
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Decision support systems.
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Database management.
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Industrial management -- Data processing.
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| LC no. |
97117704 |
| ISBN |
0471963283 |
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