A data analyst has completed a quarterly sales performance analysis for an e-commerce company. The analyst's primary audience for the findings is the team of regional sales managers, whose main goal is to use the information to develop targeted coaching plans for their individual sales representatives. Which of the following describes the MOST appropriate level of detail to present to this audience?
Region-specific dashboards with drill-down capabilities into individual representative performance, sales by product category, and key customer segments.
A high-level summary report showing total company revenue, net profit margin, and year-over-year growth.
A complete data export of all individual transaction logs for the quarter, including customer IDs, timestamps, and SKUs.
A technical document outlining the ETL process, the data validation rules applied, and the schema of the source database.
The correct answer is to provide region-specific dashboards with drill-down capabilities. This approach is the most effective because it is tailored to the audience of regional sales managers. It gives them the necessary level of detail to see performance within their own region and then 'drill down' into the specific metrics for individual representatives or products. This directly supports their goal of creating targeted coaching plans.
The high-level summary is inappropriate because it lacks the specific, granular detail that regional managers need to manage their teams. This level of detail is better suited for an executive or C-suite audience that requires a strategic overview of the entire business.
The complete data export provides too much raw, unaggregated detail. While all the information is present, it is not in a usable format for a manager to quickly interpret and would cause information overload. This would be more appropriate for another analyst who needs to perform a deeper, more technical investigation.
The technical documentation is irrelevant to the sales managers' needs. It describes the methodology of the data analysis, which would be important for a data governance team or for peer review by other analysts, but it does not provide the business insights the sales managers require.
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