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Data Quality Management Flashcards

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  1. What is the primary purpose of a Data Quality Management (DQM) framework within an organization?

    Answer: To ensure data is accurate, complete, consistent, and fit for use

    A DQM framework ensures data meets quality dimensions such as accuracy, completeness, consistency, and timeliness so it is fit for its intended business purpose.

  2. Which of the following is NOT typically considered one of the core dimensions of data quality?

    Answer: Scalability

    Scalability is a system architecture concept, not a data quality dimension; the core dimensions include accuracy, completeness, consistency, timeliness, validity, and uniqueness.

  3. A CDO discovers that 15% of customer records have duplicate entries. Which data quality dimension is most directly affected?

    Answer: Uniqueness

    Uniqueness measures whether each entity is recorded only once; duplicate records directly violate this dimension.

  4. What is a Data Quality Scorecard primarily used for?

    Answer: Measuring and communicating data quality metrics against defined thresholds

    A Data Quality Scorecard provides a structured way to measure, visualize, and communicate data quality metrics relative to established targets and thresholds.

  5. Which approach involves correcting data quality issues at the point of data entry rather than after the fact?

    Answer: Prevention-based data quality control

    Prevention-based data quality control embeds validation rules and constraints at the point of capture, stopping poor-quality data from entering systems in the first place.

  6. A CDO wants to implement a 'single source of truth' for customer data across the enterprise. Which practice best supports this goal?

    Answer: Master Data Management (MDM)

    Master Data Management (MDM) creates a single, authoritative, and consistent version of key business entities like customer data, serving as the single source of truth.

  7. Which metric measures the percentage of data records that pass all defined quality rules?

    Answer: Data Quality Pass Rate

    The Data Quality Pass Rate (also called conformity rate) measures the percentage of records that conform to all defined quality rules and standards.

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