Data Warehousing

Rapid access to information is a prime requirement in any organization that wants to have a competitive edge in today's fast changing markets. How to retrieve information? How to capture data? How to format it? The answer lies in Data Warehousing. This HOTT Guide will give you access to all the essential information about the newest data storehouse: 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.

Autorentext

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.

Inhalt

1: Introduction to Data Warehousing.- The Sales & Marketing Imperative: The Impact of Technology on Business Strategy.- Data Warehousing - adopting an architectural view, and maximizing cost benefits.- What is Data Warehousing?.- Data Warehousing Solutions.- Getting started - Building the Scalable Data Warehouse the right way.- 2: How to integrate Data Warehousing in your business.- Data Marts: Key to Reviving the Enterprise Data Warehouse.- Enterprise IT value: beyond Data Warehousing and ROI.- Building Corporate Business Intelligence: from Datamarts to the Enterprise Data Warehouse.- The Four Challenges of Customer-Centric Data Warehousing.- ERP and Data Warehousing in the Intelligent Enterprise.- Tightening the Sales Cycle.- SAP and Data Warehousing.- SAP R/3 Data Warehousing and Application Integration.- Storage Area Networks: Smart Storage, Fat Pipes and Industrial Grade Data Warehousing.- 3: Strategical considerations.- The 7 Steps to Calculating Data Warehousing ROI.- Data Mining: Statistical Analysis.- DataMines for DataWarehouses.- Data Warehouse Scorecard: Cost of Ownership and Successes in Application of Data Warehouse Technology.- Driving Customer Retention, Development and Acquisition for Profit in the Insurance Business.- Metadata for Data Warehousing.- Meta-Data Management for Business Intelligence Solutions - IBM's Solutions.- Universal Data Exchange: an Enterprise-Wide Solution.- Database Solutions.- Business Intelligence in Half the Time (with Less Cost and Risk).- Building an Active Data Warehouse using High Performance AS/400 Technology.- Data Warehousing Concepts for AS/400.- Transformational Data Replication.- Ten Mistakes to Avoid.