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6 articles
Data Context, curated domain knowledge, and past analytical experience serve different purposes. An event participation example shows what teams need to preserve for a useful handoff.
Read article →Access to data does not preserve the reasoning behind past work. Teams also need methods, validation, and decision context so another analyst or agent can continue the analysis.
Read article →A PM need not rewrite SQL line by line. Confirm the decision, population, denominator, time, exclusions, and validation before Execute to protect business definitions and accountability.
Read article →Agents can accelerate schema exploration, SQL drafts, and report drafts. Analysts should own problem definition, business metrics, validation, anomaly interpretation, and decision communication.
Read article →Before connecting an external Agent, define sources, capabilities, workspace boundaries, credential lifecycle, formal evidence, writer ownership, audit, and recovery.
Read article →A 30-day AI analysis pilot should begin with a real, controlled retrospective, then establish quality, review failures, permissions, and expansion criteria.
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