Building Executive Support for Analytics Initiatives
summary
Executive sponsorship drives outcomes: Prosci finds 71% of projects succeed with effective sponsors versus 29% with ineffective ones, and NewVantage shows 97% invest in AI but 69% lack a data driven culture and 95% blame people/process not tech. Strategy: pick one concrete problem, define the metric, fix only the data needed, deliver one dashboard and use results to get more funding. Example: resolving disputes over specific metric (churn), cleaning its sources, and shipping a shared dashboard produces executive buy-in and funding to scale via requirements → foundations → payoff → repeat.
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chapters (27)
- 0:00Introduction
- 0:18Welcome
- 1:26Agenda
- 2:04About Me
- 3:03Brain Dominance Instrument
- 6:20Executive Support
- 10:01Why enthusiasm is not enough
- 10:28Big Data
- 12:20Data Lakes
- 13:37Data Science
- 15:14New Vantage
- 16:33Culture
- 17:37Infinite Data
- 18:12Needs Vary
- 19:27Skills Lack
- 20:55Foundational Work
- 22:08Integration is Slow
- 22:54Available Data isnt Relevant
- 23:51How to Motivate Executives
- 25:12What Executives Care About
- 25:50Increase Share
- 26:24Specificity Rules
- 27:58Single Issue
- 32:34Takeaways
- 34:10Agile vs Waterfall
- 35:47Summary
- 37:14Questions
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