Data Warehousing: The Ultimate Guide to Building Corporate Business Intelligence

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Springer Science & Business Media, Apr 27, 2001 - Technology & Engineering - 336 pages
Data: from acquisition to interpretation Historically, the major challenge for organizations was capturing data. Years ago, businesses were able to leverage the information they could get, but weren't very good at getting detailed information across a range of business processes. In the business environment of today, virtually every transaction and minute business data is recorded in databases to enable better, more effective decision making throughout the organization. Most of the technology emphasis has been on storing data, with less attention paid to tools for transforming data into meaningful information which can be easily accessed and shared by executives. A data warehouse system can take meaningless data and, using intense analytical processing, offer insight into changing market conditions before they occur. The capability to optimize customer interactions and supply chain operations is becoming a source of great competitive advantage. This Hon Guide will give you access to all the essential information about the newest was to store and interpret data: through articles by expert trendwachters on strategic considerations, how-to reports defining the various ways to extract the data needed for critical business decisions, technical papers clarifying technologies and tools, business cases and key concepts that will provide the reader with a comprehensive overview of a business solution that is already indispensable.

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Contents

The Impact of Technology on Business Strategy
15
Data Warehousing adopting an architectural view and maximizing cost benefits
27
What is Data Warehousing?
33
Data Warehousing Solutions HighAvailability High Performance Networks Support Superior Business Decisions
37
Getting Started Building the Scalable Warehouse the Right Way
47
How to Integrate Data Warehousing in your Business
57
Key to Reviving the Enterprise Data Warehouse
59
Beyond Data Warehouse and ROI
63
The 7 Steps to Calculating Data Warehousing ROI
167
Statistical Analysis
181
DataMines for DataWarehouses
195
Cost of Ownership and Successes in Application of Data Warehouse Technology
211
Driving Customer Retention Development And Acquisition For Profit In The Insurance Business
223
Metadata for Data Warehouse
229
MetaData Management for Business Intelligence Solutions IBMs Solutions
235
An EnterpriseWide Solution
251

From Datamarts to the Enterprise Data Warehouse
75
The Four Challenges of CustomerCentric Data Warehousing
83
ERP and Data Warehousing in the Intelligent Enterprise
97
Tightening the Sales Cycle
107
SAP and Data Warehousing
113
SAP R3 Data Warehousing and Application Integration
135
Smart Storage Fat Pipes and Industrial Grade Data Warehousing
149
Strategical Considerations
165
Database Solutions
271
Business Intelligence in Half the Time With Less Cost And Risk
283
Building an Active Data Warehouse Using High Performance AS400 Technology
295
Data Warehousing Concepts for AS400
301
Transformational Data Replication
319
Ten Mistakes to Avoid
331
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About the author (2001)

The Publishing department of SCN Education was founded in 1998 and has built a solid reputation with the production of the HOTT Guide series. Being part of an international IT-training corporation, the editors have easy access to the latest information on IT-developments and are kept well informed by their colleagues. In their research activities for the HOTT Guide series they have established a broad network of IT-specialists (leading companies, researchers, etc) who have contributed to the books.

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