Case Study: HarrisLogic achieves 99% repeat-offender prediction accuracy with SAP Predictive Analytics and SAP HANA

Protecting Our Communities with Predictive Data

The high tech company HarrisLogic faced the challenge of integrating mental health and criminal justice data to predict, with extreme accuracy, whether a person with a mental health condition would return to jail within six months. Their goal was to empower government agencies to proactively intervene, improve public safety, and reduce spending.

Using the SAP HANA platform and SAP Predictive Analytics software, SAP provided a solution that delivered live predictive models with 99% accuracy. This resulted in a 25% reduction in behavioral health crisis spending for agencies and processes 12,000 encounters monthly, enabling data-driven decisions that help keep communities safer.

Harris Logic

Hudson Harris

Chief Privacy Officer