In preparation for conducting a “Data Warehouse/Business Intelligence Health Check” I’ve done a quick check of the literature around what causes DW/BI projects to fail. My plan is to use these points to enrich my health check to ensure it contains the right areas to investigate. The health check is focused around where an existing project has been successfully implemented but now the DW/BI implementation needs re-envigorating, and a roadmap to move it onto the next level. The results from the health check allow me to construct this roadmap and future state of the DW/BI initative.
An observed sign of a completed data warehouse/business intelligence failure is, in my opinion, under-utilization of the data warehouse. Although, this is often a key symptom of an underlying causes or causes.
I was therefore puzelling over how releavnt the reasons in the literature for DW/BI project failure are, when held against a sucessfully implemented DW/BI system. I’ve come to the conclusion that a lot of the reasons why DW/BI projects failure are also the causes of an existing DW/BI system failing to deliver. Maybe you would be prepared to confirm or add to this observation?
My list of why a DW/BI project fails includes the following causes:
- Inadequate user involvement
- Insufficient funding
- Organizational politics
- Weak sponsorship and/or management support
- Wrong or poorly analyzed project scope
- Data problems
- Problems with end-user access tools
- Poor choice of technology
- Scope creep
- Turnover of organizational personnel