An organization is trying to measure success and clarify its business questions around performance. They have data from various internal sources but have not established how they want to track outcomes. Which step best supports a targeted analysis approach?
Implement an optimization algorithm on all existing data sources
Gather new data from external sources to expand the available datasets
Refine the organization's key questions and define the intended success metrics
Design dashboards for each department and apply visualization to all collected data
Refining the questions ensures each department's data directly supports the organization's goals. Collecting data without directions may produce confusion, and adopting advanced models or visualizations before defining success can waste time and resources. Clarifying what the organization wants to achieve steers the data-collection strategy and makes any subsequent analysis more effective.
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What are key questions in a targeted analysis approach?
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What are intended success metrics, and why are they important?
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How can organizations avoid confusion when collecting data?