Construct and implement a data warehousing plan. In their efforts to collect information that will give them an edge, many companies have amassed vast amounts of data. Often this data becomes unwieldy and difficult to translate into anything useful.

PLANNING THE DATA WAREHOUSE. The Fundamentals of Data Warehousing. Achieving Competitive Advantage: A Review of Typical Applications. Managing the Data Warehouse Project. INTEGRATING THE DATA--THE DATA WAREHOUSE INFRASTRUCTURE. The Data Warehouse Architecture. Data Warehouse Technology. Metadata Management. Data Quality. EXPLOITING THE DATA--THE DATA WAREHOUSE APPLICATIONS. Data Access and Exploitation. Data Mining. LOOKING TO THE FUTURE--NEXT GENERATION DATA WAREHOUSE. Future Directions in the First Generation of Data Warehousing. The Second Generation of Data Warehousing--Reintegration with the Operational Systems. Appendices. Index.

"A pioneering voice in the data warehouse market."—Jack Sweeney, President & CEO Intellidex Systems and Co-chairperson of the Metadata Council In an age of information rich and poor, corporations are busy amassing gigabytes of data under the assumption that data is power. Data is plentiful - information is scarce. Data Warehousing in Action provides the tool to harness this data and transform it into useful customized bytes of information. This book is a fully comprehensive account of how to proceed with the data warehouse project in a clear step-by-step fashion. It is aimed at all those involved in designing and implementing a meaningful data warehousing architecture. Data Warehousing in Action: identifies industrial applications for data warehousingprovides a framework for building a data warehouseanalyzes the options for choosing relevant architectureappraises the technologies used in data warehousingoutlines methodology for managing the projectexplains how to futureproof the design Following on from the success of Data Warehousing: the Route to Mass Customization (Wiley 1994), this book moves on to explore the next generation in data warehouse architecture.

PLANNING THE DATA WAREHOUSE. The Fundamentals of Data Warehousing. Achieving Competitive Advantage: A Review of Typical Applications. Managing the Data Warehouse Project. INTEGRATING THE DATA?THE DATA WAREHOUSE INFRASTRUCTURE. The Data Warehouse Architecture. Data Warehouse Technology. Metadata Management. Data Quality. EXPLOITING THE DATA?THE DATA WAREHOUSE APPLICATIONS. Data Access and Exploitation. Data Mining. LOOKING TO THE FUTURE?NEXT GENERATION DATA WAREHOUSE. Future Directions in the First Generation of Data Warehousing. The Second Generation of Data Warehousing?Reintegration with the Operational Systems. Appendices. Index.