Next-generation law enforcement analytics.
Build a safer, more efficient force with data and analytics
Law enforcement is a high-risk job – data and analytics should help make it safer, not add complexity. ibi acts as a force multiplier, supporting all law enforcement needs of command staff, detectives, and officers on the street, to aiding proactive deployments and crime clearance. With data-driven analytics that strategically break down information into actionable insights, law enforcement professionals across departments can gain end-to-end visibility into all daily operations.
How we help
Responsive and predictive policing
Process a wealth of crime data – from criminal records management systems to computer-aided dispatch systems and beyond – to create predictive analytics that help allocate resources and provide proactive insights that prevent incidents before they occur.
Law enforcement analytics
This level of analytics serves the necessary, relevant information to different types of users. For example, police officers aren’t data analysts – and they shouldn’t be. Their ability to observe and react to situations is a critical part of their service, and it’s more important than staring at numbers. Law enforcement analytics lend police officers a situational awareness that enables improved decision-making and prioritization.
Data-driven operations
Tap into a comprehensive and easily digested view of crucial data – offenders, employees, incidents, and other information – to build a data-driven law enforcement operation that effectively responds to community needs.
Data is crucial to modern policing.
Law enforcement is hard enough without messy and siloed data. In this ebook, we walk through common challenges and how data ecosystems should be managed for more effective policing.
- Improve your team’s safety with strategic data deployment
- Integrate reliable, real-time systems into your operations
- Construct a strong information technology foundation
Case Studies
York Regional Police
The Challenge
Formed in 1971 – through the consolidation of 14 separate municipal police forces, York Regional Police has been amassing valuable data for years. To support data-driven decision-making, information had to be manually aggregated and de-conflicted to answer questions about how, when, where, and why police assets were deployed. The challenge was to bring order to York Regional Police’s siloed structured and unstructured data, before harnessing that data for optimal use in strategic planning, performance management, and operational analysis.
This platform is transforming the way we conduct frontline operations. It allows our frontline officers to receive and digest information in a meaningful way, and ensures that we have the right information to strategically deploy our resources.”
James MacSween
Deputy Chief
York Regional Police
The Results
Increased efficiency
Quantified outcomes
Crime prevention
A powerful data warehouse
YRP’s Business Intelligence Unit worked with ibi to apply law enforcement data to the agency’s Real-Time Operations Center (RTOC). The solution that emerged was a data warehouse that became the foundation for a cohesive analytic environment that served the right data to every area of the organization, right down to the officers on the street.
Milwaukee County Sheriff’s Office
The Challenge
Every month, each department of the Milwaukee County Sheriff’s Office spent from 100 to 200 hours to collect and compile the CompStat reports used to monitor crime trends across the 19 communities that comprise Wisconsin’s largest county. Workers had to combine data from systems that tracked enforcement activity, officer dispatch, transit schedules, jail occupants, staff schedules, and certain elements of sensitive material in its criminal justice information system. They also had to incorporate information kept in spreadsheets and in paper log files.
Previously, when we were trying to solve recurring crimes such as carjackings and armed robberies we had to query five or six different systems. Now, we can see information from all the systems at once to find a person’s traffic stops, arrests, and jail visits, along with known associates, visitors, phone numbers, and much more.”
Brian Barkow
Deputy Inspector and Head of Law Enforcement Analytics
Milwaukee County Sheriff’s Office
The Results
Improved efficiency
Help solving difficult cases
Disaster preparations
Integrating diverse sources of data
Automating the collection of data and real-time insights into crimes, accidents, arrests, and court cases.
