Topics: Program Management, Blog, BI Automation
An Introduction to Business Intelligence Lifecycle Management
By Steve Dine, Managing Partner - Datasource Consulting
It’s no secret that Business Intelligence* (BI) projects are both time consuming and resource intensive, often suffer from poor communication between the business and IT, and are usually inflexible to changes once development has started. This is due, in large part, to the method by which BI projects are traditionally implemented. Regardless of the methodology you employ, at the very least, a successful BI iteration requires:
- Business requirements identification
- Data analysis
- Data architecture and modeling
- Data integration (ETL, ELT, data virtualization, etc)
- Front-end development
- Testing and release management.
