Such business intelligence permits an enterprise to discover what is going on and what is needed to improve. Learning to systemize business processes that are effective means a better bottom line and profitability. Data warehousing is a journey, not a destination because it initially must be developed and then maintained as a system over time. This involves a continual process of data retrieval, analyses, and discovery. Practical Best Practices for Data Warehousing Data warehousing is an ongoing process, not something that is built once and left to run.
Data warehousing is about servicing users.
Users need to understand the functionality and performance capabilities for it. They need to realize that a prototype, not a finished product is the initial deliverable with improved releases to follow. Think big, but deliver incrementally and often . Balance business benefits and technical risks to reduce financial risk. Successive releases executed in the same manner allow for a smooth growth in the integration of data and subsequent incremental benefits enjoyed.