A sales manager reports that the daily sales performance dashboard, which is scheduled to refresh every morning at 6:00 AM, is not displaying any sales data from the previous day. A data analyst verifies that the transaction data for the previous day exists and is correct in the source database. The dashboard is loading without errors, but the visualizations are clearly missing the most recent information. Which of the following report issues does this scenario describe?
The correct answer is 'Stale data'. This term refers to data that is not up-to-date and no longer reflects the current business reality. In the scenario, the dashboard is not showing the latest day's sales figures, even though the data exists in the source, indicating the data in the report is outdated. This is a classic example of stale data, where the data refresh process between the source and the report has likely failed or is delayed.
'Corrupt data' is incorrect. Corrupt data refers to data that is inaccurate, has errors, or is unreadable. The scenario states that the source data is correct and the existing data in the report is loading without errors, so data corruption is not the issue.
'Filter not working correctly' is incorrect. While a faulty filter could exclude certain data, the problem describes the complete absence of the most recent day's data for the entire report, which is more indicative of a data refresh failure than a misconfigured filter.
'Excessive load time' is a performance issue, not a data accuracy issue. The scenario specifies that the dashboard is loading, but the data it displays is outdated, which is a data quality problem.
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