eMoksha Data Science as a service offering enables courts to better understand their data to guide their decisions and actions. We utilize state-of-the-art data visualization and AI algorithms for finding correlations, patterns, and outliers in court data. We deliver customized metrics and key performance indicators for:
Our innovative solutions can ingest raw data to readily produce KPIs/Benchmarks. Our approach focuses on "Cause/Effect" analysis by not only understanding "what" is happening but "why" is something happening and "what" needs to be done to address it.
eMoksha's Program Evaluation service leverages advanced Data Science capabilities and algorithms to identify patterns in historical program data, providing valuable insights for evaluating court programs. By analyzing data using AI and machine learning, our service enables us to assess the effectiveness of court programs/interventions and identify areas for improvement.
Identifying and measuring bottlenecks in court processes. Measuring compliance, timelines, speed, volume, and efficiency of work.
Case Load, processing speed, In/outflow of people, optimize staffing.
Identifying and measuring bottlenecks in court processes. Measuring compliance, timelines, speed, volume, and efficiency of work.
Case Load, processing speed, In/outflow of people, optimize staffing.
eMoksha is helping us truly practice evidence-based management by providing deep insights into our data and enabling us to ask important questions about our early intervention programs, Probation, and Residential Treatment. We have completely transformed our decision-making processes based on presented facts in the data. Most importantly, we are able to provide evidence to our stakeholders that investing in early intervention programs provides a measurable benefit to our community and is a fiscally responsible use of our resources
eMoksha was instrumental in getting our Probation Department started on the analytics journey. eMoksha developed an analytics platform for us that processes multiple data sources, aggregates large volumes of data, and delivers it via a customized interface.