Assuring Business Outcome Through Analytics
summary
Argues that analytics only pays when models are operationalized into business processes via a consultative, iterative workflow: start with small POCs, tie outputs to KPIs, deliver low‑hanging wins, then scale to a data lake and platform. Claims a 25% cost of ownership drop and 40% faster time‑to‑market from the DI Ayari framework and shows a data discovery platform used to predict power‑line failures for a large Australian utility. Emphasizes real‑time answers, closed feedback loops and stakeholder buy‑in.
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chapters (8)
- 0:00Analytics and business outcomes
- 6:54Traditional analytics gap
- 10:09Consultative approach to insights
- 13:50Scaling analytics projects
- 24:13DI Ayari framework
- 28:15Big data readiness
- 31:53Self-service data discovery
- 33:41Q&A on culture vs solution
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