Executing An Effective Data Strategy: Why Automation Is No Longer A Choice
summary
Argues that automation is essential to deliver quick wins, using WhereScape prototypes to replace Excel chaos (14-country Xerox finance example) and to replicate pipelines across sites; claims low-code/no-code speeds prototyping, reduces errors and improves developer satisfaction, while metadata-driven templates let teams retarget SQL to Snowflake or other clouds and cut migrations from months to weeks. Cites scale: 175 zettabytes by 2025, 463 exabytes generated daily and 75 billion IoT devices, framing why automation must handle demand and governance.
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chapters (10)
- 0:00Start
- 0:52Executing an Effective Data Strategy
- 5:16Competitors
- 6:21Data Strategy
- 7:44The Data Strategy Is Not a Fixed Point
- 20:30Keep Up with the Demand
- 21:19What Does Automation Give You To Help You with the with the Delivery of that Strategy
- 25:19Business Rules
- 26:26Documentation
- 27:22Technological Change
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