Data warehouse requirements engineering

Data warehousing projects are failing at an alarming rate because of poorly defined objectives, incorrect assumptions, inadequate planning and a wide gap between user's expectations and the final product. This ultimately results in wastage of time, money and effort spent on the project. Most of these factors are a result of inadequate requirements engineering activities. Since data warehouse is a large database with an absolutely different scope of usage, the information requirements analysis for such systems is entirely different from that of traditional databases. This became evident while implementing National Population Register (NPR) project. Therefore, we have proposed a requirements engineering framework which supports a combination of incremental and iterative development of data warehouse project. The framework will help the development team to develop a set of complete and verifiable requirements.