How does problem solving integrate with data-driven policing?

• A. Data is ignored during problem solving
• B. Data identifies problems; targeted interventions are informed by data; results are measured to refine approaches.
• C. Problem solving eliminates the need for data
• D. Data is used only for budgeting

Answer: (B)

In data-driven policing, problem solving relies on data at every step. You start by using information to identify and define the problem—where it’s happening, when it peaks, who’s affected, and any contributing factors. With that understanding, you design targeted interventions that research or prior experience suggest will address that specific problem. After you implement those actions, you measure results using concrete indicators—crime trends, calls for service, clearance rates, and community feedback—to judge effectiveness and inform any needed adjustments. This loop of identifying, acting on, and assessing outcomes makes the approach evidence-based and iterative rather than static.

Data isn’t just an afterthought or a budgeting tool in this process. Ignoring data would lead to guesses rather than evidence-driven decisions, and solving problems wouldn’t adapt to real-world results. Relying on data only for budgeting misses the core operational value, and treating data as relevant only for financial decisions fails to leverage insights that can reduce incidents and improve community safety.