Data Analytics and Business Intelligence Insights to improve policing decision-making, operational efficiency, and innovation.
How it works
Our Data, Analytics & Business Intelligence Insights enable policing to harness the power of data, from solution design and infrastructure setup to advanced analytics, AI, and Machine Learning. This comprehensive approach ensures forces can trust their data and use it effectively.
We also provide assurance, risk management, data governance and migration, profiling, and the creation of high-quality data products to maintain integrity and compliance and support ongoing optimisation.
Benefits
- Improved decision-making through advanced analytics.
- Enhanced efficiency and resilience with secure, scalable infrastructure.
- Reduced risk and increased trust in data through assurance and governance.
Learn more about member benefits on our dedicated Members page.
What we need
- Business needs, analytics goals, and use cases.
- Access to data sources and governance policies.
- Infrastructure scope and performance requirements.
- Risk register and compliance criteria.
- Agreement on scope, timelines, and priorities.
What you get
- Data and analytics solution architecture and tool specifications.
- Configured infrastructure and secure access controls.
- Analytical models, AI and Machine Learning workflows, and Power BI dashboards.
- Assurance reports, risk mitigation plans, and compliance documentation.
- Curated data sets, migration logs, and master data repositories.
Use cases
Our Data, Analytics & Business Intelligence Insight were used in the development of the Offender Management and Insight System (OMIS) 360, a replacement for the legacy Intelligent Driven Integrated Offender Management (IDIOM) system.
We worked closely with operational stakeholders to understand how prolific offender data is ingested and how it supports cohort management. Through structured workshops and service design activities, we identified pain points such as inconsistent cohort definitions, manual data handling, and limited reporting capability. We then produced a prioritised set of functional and non-functional requirements, mapped end-to-end cohort movement processes, and modelled scenarios for data integration. These artefacts informed the technical architecture and enabled commercial engagement for secure data transfer.
The result is a scalable, secure, and user-centred solution that supports offender tracking, reporting, and decision-making across policing.
