Law & Justice
To improve law enforcement, police and other agencies must understand the data they collect. However, the volume and complexity of information from multiple systems means few departments in these agencies coordinate data effectively.
Greater Insight Improves Planning and Enforcement
Law enforcement agencies use SuperSTAR to gain greater insight into crime and court statistics, as well as to identify money laundering, tax evasion, and other fraudulent behavior. For example, they use it to:
- help tackle crime and support National Intelligence Information Sharing initiatives
- deliver a foundation for more proactive policing
- provide standardized police data, standard reporting, and an analysis environment
- allow for better tracking, understanding, and management of performance (for example, court case statistics).
The agencies then make aggregated statistics, suitably confidentialized, available to the public via SuperSTAR's web dissemination tools.
SuperSTAR's unique microdata access capabilities enable EASIER, FASTER, and SAFER access to the data. It makes it truly possible for law enforcement agencies to ‘ask any question’ or pursue any line of investigation using a query-answer-query process.
Types of Law Enforcement Data
Crime affects all aspects of the community and has broad-ranging, damaging consequences. As a result, law enforcement data takes many different forms, and is usually characterized as being complex, large, and sensitive. Typical datasets include:
- crime statistics
- policing statistics
- tax records (tax evasion)
- banking transactions (money laundering)
- telecommunications data
- homeland security (intelligence).
The volume of law enforcement data is rapidly growing and the need to make more informed decisions from this data is becoming more important to more people. Giving people the ability to create their own information via a self-service solution is now a critical part of the fight against crime, fraud, and terrorism.