What is Data-Driven Decision Making?
Data-driven decision-making uses data analytics to measure the impact of strategies. We use these to analyze case backlogs, predict case durations, and forecast trends.
Data analysts, policymakers, court staff, and the public all benefit from data-driven decision-making by reducing case clearance time, budget and resource allocation, and ineffective projects.
Leverage data to inform policies and policymakers.
Use evidence-based analytics from criminal justice agencies to drive informed decision-making, with the ability to export data to PowerBI and Tableau.
Launch real-time data-driven dashboards.
Built-in privacy and export controls.
Run comparisons with similar jurisdictions.
Apply filters by location, case type, judge, and more.
Integrate and post to social media channels.
Automatically scrub or randomize personally identifiable data.
Create studies and research reports.
Standardize data from multiple sources into one dashboard.
Upload historical data and automatically update in real-time.
Invite academic and research users with read-only permissions.
Assign research groups randomly or by A/B thresholds.
Analyze geographic trends with demographic data from the US Census.
Compatible with Justice Counts Metrics from the Council of State Governments Justice Center.