Law Enforcement
To improve law enforcement, police and other agencies need to understand the data they collect. However the volume and complexity of information from multiple systems means few departments coordinate data effectively.
SuperSTAR is being used by many law enforcement agencies to analyse crime and court statistics as well as identify money laundering, tax evasion and other fraudulent behavior.
It generally aims 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 analysis environment < allow for better tracking, understanding and management of performance.The unique microdata access capabilities of SuperSTAR enable unfettered access to the data making it truly possible for law enforcement agencies to ‘ask any question’ or pursue any line of investigation.
Aggregated statistics, suitably confidentialized, can be made available to the public via the SuperSTAR web dissemination tools.
Types of law enforcement data
Crime affects all aspects of the community and has damaging consequences for local communities and disadvantaged areas.
Law enforcement data can take many different forms but 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)
In the current
climate the volume of law enforcement data is rapidly
growing and the need to analyse it in an ad hoc way is
becoming a critical part of the fight against crime,
fraud (see white paper on SuperSTAR for Fraud Prevention
and Detection) and terrorism.
Please contact us to discuss your requirements.