Remove Data-driven Remove Key Performance Indicator Remove Testing Remove Uncertainty
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature.

Metrics 156
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AI Product Management After Deployment

O'Reilly on Data

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. From a technical perspective, it is entirely possible for ML systems to function on wildly different data. Debugging AI Products. Proper AI product monitoring is essential to this outcome.

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The Case for Continuous Financial Planning after Covid-19

Jet Global

Financial planning and analysis are usually categorised by a multitude of data sources, slow manual processes, and long planning cycles, which are out of step with the speed of the business. During periods of uncertainty, this helps us plan for – and be ready to respond to – different outcomes. A new world of data possibilities.