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From Reporting to Decision Architecture: Why Framing Must Be Designed

  • 1.  From Reporting to Decision Architecture: Why Framing Must Be Designed

    Posted 2 hours ago

    Many analytics failures are not technical failures. They are decision design failures.

    Most analytics stacks stop at dashboards. They show what changed, but not what decision it should trigger, who owns that decision, or what constraints apply. The result is predictable: teams debate definitions and context, governance shows up after issues, and execution varies leader to leader.

    The next step is not more reporting. It is decision architecture.

    In practice, that means pairing every KPI with:

    • its decision purpose

    • clear thresholds and escalation paths

    • an accountable owner

    • embedded definitions and lineage

    Instead of "Here is the metric, what should we do," the organization operates with "Given this change and these guardrails, here are the next steps."

    How are you approaching this in your environment? Are your analytics assets optimized to inform, or designed to drive consistent execution when KPIs shift?



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    Laxmi Vanam
    Sr Data Strategist Driving Enterprise Decision Intelligence atScale| IEEE Senior| Forbes Tech Counci
    Vanguard
    Fort Mill SC
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