Tapping the value of data requires building platforms that empower Data Science — but where to start? The process begins with conceptually organising data into 360 views and mapping the decisions that the organisation makes. Seth Dobrin, Vice President & Chief Data Officer of IBM Analytics, walks through the six essential steps.
Key Points:
- How can we assign a value for each decision the organization has to make
- How can we transform and align the available data to allow data science to drive those decisions
- How can policy catalogues, metadata, and APIs turn data governance from an inhibitor to an enabler
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