What is a typical sequence of activities for turning data into insights?

• A. Visualize first, then collect data
• B. Collect data, query databases, apply statistical methods, and create visualizations
• C. Create charts, then write reports
• D. Delete data to simplify analysis

Answer: (B)

Turning data into insights follows a practical workflow: collect data from relevant sources, then query databases to assemble the exact datasets you need, apply statistical methods to uncover patterns or test hypotheses, and finally create visualizations to communicate the findings clearly. This sequence ensures you’re working with the right data, you're extracting meaningful conclusions through appropriate analysis, and you present those conclusions in a way that stakeholders can understand and act on. Visualizing before you’ve gathered and processed the data can lead to misleading conclusions, and trying to chart results without proper analysis misses the underlying signals. Likewise, deleting data or skipping the analysis steps undermines reliability and usefulness. In real projects, you often loop back to refine data and methods, but the core flow remains data collection, retrieval/processing, analysis, and visualization.