Table of Contents

Part 1 Data warehousing concepts (defining business needs): data, warehouse and engineering concepts; strategic business planning; data mapping - a window into the enterprise; strategic modelling - a map for the future; decision early warning - a common need. Part 2 Data quality and legacy systems: the importance of legacy system metadata; defining required legacy system metadata requirements; deriving legacy system metadata; determining relevant data quality attributes; data quality engineering. Part 3 Engineering the data warehouse: moving the past into the future; data warehousing as a reengineering technology; implementing organizational data quality initiatives; continuous data quality engineering; future data warehouse directions.