Challenges in Data Quality Management

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Questions and Answers

What are some common causes of bad data quality at source?

  • Operational system defects, manual steps introduction, incorrect algorithms
  • Inconsistent data models, complete understanding of source data, master data management
  • Manual steps introduction, consistent data models, master data management
  • Operational system defects, human errors, environmental stability (correct)

How can bad data quality be introduced during transformation and aggregation?

  • Consistent data models, complete understanding of source data
  • Environmental instability, manual steps introduction
  • Defects, errors, incorrect algorithms (correct)
  • Human errors, master data management issues

What is one of the consequences of poor understanding of source data?

  • Clear and accurate relationships between data
  • Consistent common definitions
  • Optimal analytics
  • Suboptimal data models (correct)

Why is master data management important in handling data from multiple sources?

<p>To ensure consistent common definitions for all data (D)</p> Signup and view all the answers

Which factor can lead to inaccurate analytics results?

<p>Inconsistent data models (C)</p> Signup and view all the answers

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