MBA Training Data

Decision intelligence: engineer the decision, not the dashboard

MBA Training Data

Show Notes

Why do organisations with hundreds of dashboards still decide badly? The answer here is that the numbers arrive nowhere near the moment of choice. A support agent deciding on a refund needs lifetime value, refund history and churn risk inside the ticket, not in a tool they have no login for. Embedded analytics is the plumbing; decision intelligence is treating the recurring decision as the thing you design around, then working backwards.

You walk away with three tests for picking a decision worth engineering (frequent, consequential, currently made blind), a rule for what to leave alone, and a warning on reading DBT Labs vendor figures, with supporting points from O'Reilly Radar and MIT Sloan Management Review.

0:00 Why dashboards get admired and ignored 1:04 Embedded analytics versus decision intelligence 2:09 Why full automation is the trap 2:43 DBT Labs numbers and vendor caution 3:30 Three tests for decisions worth engineering 4:13 Sit with the decision maker Monday

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