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Analytics Leadership & Innovation Flashcards

7 cards from real CDO practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 7 Analytics Leadership & Innovation flashcards as text
  1. A CDO wants analytics to move from explaining why sales dropped to recommending the optimal discount per customer. Which analytics progression does this represent?

    Answer: Diagnostic to prescriptive

    Explaining why something happened is diagnostic analytics, while recommending the best action is prescriptive analytics.

  2. Which analytics operating model centralizes standards, tooling, and expertise while embedding analysts within business units?

    Answer: Hub-and-spoke (federated) model

    Hub-and-spoke combines a central center of excellence with analysts embedded in business units.

  3. An analytics team has run 40 pilot projects, but none have been deployed into production. What is this problem commonly called?

    Answer: Pilot purgatory

    Pilot purgatory describes initiatives that never move beyond proof of concept into scaled production value.

  4. When prioritizing an analytics innovation portfolio, which pair of criteria is most commonly plotted on a 2x2 matrix?

    Answer: Business value and feasibility

    Value-versus-feasibility matrices help leaders pick quick wins and strategic bets.

  5. A model that predicted customer churn accurately at launch is now underperforming because customer behavior changed after a pricing update. What has occurred?

    Answer: Concept drift

    Concept drift occurs when the relationship between inputs and the target variable changes over time.

  6. Which practice best supports a CDO in proving the causal impact of a new recommendation engine on revenue?

    Answer: Running a randomized controlled experiment with a holdout group

    Randomized experiments with control groups isolate the causal effect of the intervention.

  7. Which approach most directly increases adoption of self-service analytics across the enterprise?

    Answer: Pairing certified, governed datasets with a data literacy program

    Trusted, governed data plus training enables business users to analyze confidently and correctly.

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