Data creates value through a chain of seven skills, from the imagination to ask the right question to the ability to make the answer matter. This series introduces the Data Value Chain framework, shows how AI shifted the bottleneck from technical infrastructure to human judgment, and explores what happens when AI cracks open the 80% of organizational knowledge that was never in a database to begin with.
A seven-step framework for turning raw data into business decisions. The Data Value Chain maps the distinct skills required at each stage - and explains why you need a team, not a unicorn.
AI compressed the technical middle of the Data Value Chain, shifting the bottleneck to the human bookends - Insight and Present. Most organizations haven't noticed.
The Data Value Chain was built for structured data. But 80% of what your organization knows is unstructured - and AI just cracked it open. This is the knowledge management breakthrough we've chased for 30 years.
Deriving information out of raw data involves seven separate, dependent processes - the Data Value Chain. Your team needs to have a multi-layered ecosystem of skills and experience required to effectively extract the most value.