A data analyst is responsible for a weekly sales report. After a scheduled data refresh, the analyst observes that the key metric for total sales is 50% lower than the weekly average for the past year. The SQL query used for the report has not been altered, and there are no connection error messages in the reporting tool. The analyst's immediate goal is to troubleshoot this discrepancy. Which of the following actions is the most direct and effective first step to validate the data source?
Run a simple aggregate query, such as COUNT(*) or MAX(transaction_date), directly against the source database table.
Re-authenticate the database connection credentials in the business intelligence (BI) tool's data source settings.
Enable verbose logging on the reporting server to capture more detailed execution data.
Consult with the sales team to confirm if their recent sales figures were unusually low.
The correct answer is to run a simple aggregate query directly against the source table. When a report shows unexpected values, the first step is to determine if the issue is with the source data itself or with the analysis process (like the query or BI tool). A simple query like COUNT(*) or MAX(transaction_date) quickly checks the completeness and freshness of the data at its source. This action isolates the data source from other variables, such as the complex reporting query or the BI tool's rendering, making it the most direct and efficient first step in troubleshooting.
Re-authenticating the database connection is less likely to be the issue because data is being returned, just an incorrect amount. A credential failure would typically result in a connection error, not incomplete data.
Consulting the sales team introduces business context before the technical data validation is complete. An analyst should first confirm the data's integrity before escalating to business stakeholders to avoid raising false alarms.
Enabling verbose logging is a more advanced troubleshooting step, useful for complex query or server issues, but it is not the most direct first step for simply validating the state of the source data.
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