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Get The Data Trustworthy First

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The downstream economic and operational outcomes — revenue, cost savings, productivity, competitive advantage, ROI — attributable to applying analytics and BI to decisions and actions. (Building an enterprise analytics capability that creates advantage.)

started 0 · finished 0 (claimed) · not yet measured (verified) · no data (n<5)

Derived from: Get The Data Trustworthy FirstT1

Ordered tasks (8) — this is what a project auto-creates

  • #1Data Quality, Cleaning & PreparationHighTo Do

    Move raw, messy data into an analysis-ready state and how to judge whether it is trustworthy enough to build on.

    Assignee: Unassigned · due 0 days after project start · takes 14 days

  • #2Exploratory Data AnalysisMediumTo Do

    Interrogate distributions, relationships, and anomalies before you fit anything, so your modeling choices are informed rather than reflexive.

    Assignee: Unassigned · due 14 days after project start · takes 7 days

  • #3Feature Engineering & Attribute SelectionMediumTo Do

    Transform, select, and construct predictor variables so a model can find signal it otherwise couldn't.

    Assignee: Unassigned · due 21 days after project start · takes 7 days

  • #4Data Architecture, Storage & IntegrationHighTo Do

    How warehouses, schemas, and integration pipelines are designed to deliver reliable, governed data at analytic scale.

    Assignee: Unassigned · due 28 days after project start · takes 14 days

  • #5Datafication & Data ReuseLowTo Do

    How quantifying activity creates reusable data assets and how recombining that data for secondary purposes generates value—and liability.

    Assignee: Unassigned · due 42 days after project start · takes 3 days

  • #6Data & Application Silo ProliferationLowTo Do

    Names the accumulation of disconnected systems and spreadmarts that quietly degrades data quality across the enterprise.

    Assignee: Unassigned · due 45 days after project start · takes 3 days

  • #7BI/Big-Data Technology Investment & CapabilityMediumTo Do

    How spending on BI platforms, data infrastructure, and big-data tooling translates — or fails to translate — into the capability to discover analytical and knowledge insights.

    Assignee: Unassigned · due 48 days after project start · takes 7 days

  • #8Ethics, Privacy & Societal RiskHighTo Do

    Address the privacy erosion, surveillance exposure, agency loss, and bias risks generated when data is reused beyond its original purpose, and the concrete safeguards that keep those risks from destroying value.

    Assignee: Unassigned · due 55 days after project start · takes 14 days