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?
Refine the organization's key questions and define the intended success metrics
Gather new data from external sources to expand the available datasets
Implement an optimization algorithm on all existing data sources
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.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What are success metrics, and why are they important?
Open an interactive chat with Bash
Why is it necessary to refine key business questions before analyzing data?
Open an interactive chat with Bash
How does refining questions impact the data-collection strategy?