When faced with a data discrepancy, a data analyst should communicate this by presenting _______.

  • Corrective Action Plans
  • Data Anomalies
  • Executive Summaries
  • Root Cause Analysis
Presenting data anomalies is crucial when faced with a discrepancy. This involves identifying and communicating irregularities or inconsistencies in the data, facilitating a clear understanding of potential issues and allowing for further investigation and resolution.
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