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From Data Chaos to Decision-Making: Why Enterprises Can’t Delay Data Engineering

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What To Take From This

A demo proves the technology can do something. An AI MVP proves it does something worth funding.

Write the falsifiable hypothesis first: metric, target, timeframe, guardrail.

Confirm data volume, quality, and production access before development starts.

Present the baseline, the result, the unit economics, and then the ask.

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