Why BI Projects Fail (And What You Can Do About It)

on YouTube ↗57m

" summary

Lists the actual failure modes and fixes: politics and lack of a high-level business champion block decisions; data quality eats projects (one agency shows 40% of hours posted to non‑existent departments); ETL consumes 60–80% of effort; oversized enterprise builds fail—prefer start with a 3‑month data mart that proves value; keep analysis models small (rule of thumb max eight dimensions), use PowerPivot/Excel/Power View/SSRS for delivery, and surface an unknown bucket so bad data forces fixes.

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" chapters (15)

1. 0:00Introduction
2. 3:13Top reasons BI projects fail
3. 6:23Political challenges in BI
4. 8:09User involvement in BI
5. 14:29Enterprise warehouse failures
6. 16:57Data marts for quick wins
7. 18:22Avoiding complex BI solutions
8. 22:34Undersized BI cubes risks
9. 24:41Correct KPIs in BI
10. 27:09Data quality issues in BI
11. 31:19Fixing data quality at source
12. 34:12Funding challenges in BI
13. 39:10Choosing BI delivery tools
14. 45:09Summary of BI failures and solutions
15. 46:18Q&A on data quality

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