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Engineering signals
  • Data integrityCompleteness, freshness, and accuracy, before anyone trusts a number.
  • Pipeline failure modesIngestion that recovers from failure instead of silently dropping rows.
  • Schema under changeModels that answer tomorrow's questions, not just today's report.
  • Data ownershipLineage, access, and definitions, so metrics mean the same everywhere.
  • Decision latencyInsight connected to a decision, so analytics changes what people do.
Common assumption

The dashboard is downstream of the real problem

Clean data contracts before clean dashboards

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Data & Analytics