Actually, the answer is yes. Police increasingly are using technology to analyze, investigate, and prosecute the activities of super gangs nationwide and even worldwide. A recent survey of nearly 300 law enforcement officials throughout the U.S. conducted by Wynyard Group underscored the growing interest in, and use of, crime fighting software. A bit more than a third (35%) said their agencies already use analytic software, while 45% indicated that limited budgets were a barrier to adoption. Taking a longer term view, however, nine of 10 survey respondents said they believe crime-fighting software will soon become the industry norm.
The good news is that there are an increasing number of crime analytics software tools to help law enforcement agencies and their investigators to connect the dots and address crime by following and understanding criminals' digital footprints.
Advanced crime analytics tools rapidly process and analyze large volumes of data legally sourced as part of an investigation from numerous sources, including mobile telephone service providers, banks, departments of motor vehicles, credit card companies, and utility companies.
Effective advanced crime analytic tools can and should help law enforcement professionals resolve multiple identities, find a single person of interest, and discover relationships between perpetrators and networks of relatives, friends, colleagues, and acquaintances or help prevent crime by disrupting the relationships. Using anomaly detection to quickly discover suspects who are acting inconsistently with their usual behavior, advanced crime analytics tools also help unravel connections hidden within data from disparate sources like social media chatter, financial transactions, and third-party data.
An effective crime analytic platform consists of advanced algorithms, machine learning, entity extraction, context-aware visualization, rules-based alerts, and intuitive workflows to help discover and present to the users entities or networks of interest, relationships, patterns, and anomalies.