A data innovation playbook
summary
A practical playbook for turning ideas into repeatable business value with data and AI lays out concrete steps: start from business goals, quantify ROI and risk, run short focused POCs with cross functional task forces, prefer off the shelf first to speed time to ROI, automate pipelines early, assign data ownership and track definitions, and institutionalize collaboration as a center of excellence. Backed by a striking stat that ~90 96 of Global 1000 see results but only 24 percent become data driven, the method targets repeatable harvests.
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chapters (13)
- 0:00Introduction
- 1:13What is data innovation
- 3:01Black box of data innovation
- 5:07Long-term data success
- 6:33Three challenges in data innovation
- 8:41Data innovation playbook
- 9:02Winter: picking data use cases
- 15:30Spring: validating with POCs
- 19:43Summer: implementing platforms
- 24:38Fall: harvesting value
- 27:46Institutionalizing collaboration
- 30:13Summary
- 31:19Q&A
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