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Leveraging Advanced Crime Analytics to capture criminals

Leveraging the potential of Advanced Crime Analytics, companies like Wynyard Group, CrimeCenter and SmartCOP Inc. offer advanced solutions that enhance the operational activities and efficiency of law enforcement agencies for solving criminal activities accurately and in less time.

The use of big data and analytics by Public Safety organizations and Law enforcement agencies is on the rise as the world is going digital. It is creating humongous opportunities for predictive policing, gaining accurate insights and increasing investigative capabilities for many relevant aspects.

Embracing predictive maintenance to bolster infrastructure efficacy

Unplanned downtime is one of the biggest causes for loss of productivity, displeased customers and loss of revenue, in the manufacturing domain. According to recent studies, the industry takes a blow of around $50 billion every year due to this.

To tackle the unbending situation with a solid solution, manufacturers across the globe have employed predictive maintenance in recent years. While failure analysis set the ball rolling for the large-scale predictive maintenance program in 1974, at present, a successful combination of failure analysis, along with an effective predictive maintenance project, does the job.

Big Data Analytics helping law enforcement agencies to fight against the crime By News Desk -September 7, 2021

Data Analytics and Algorithms are the newest additions to bolster law enforcement agencies to maintain law and order. Contemplating the potential of the technology, ReportLinker has estimated that the ‘Big Data & Data Analytics Market in National Security & Law Enforcement’ is estimated to reach $17.27 billion by 2026.

The use of big data and analytics by Public Safety organizations and Law enforcement agencies is on the rise as the world is going digital. It is creating humongous opportunities for predictive policing, gaining accurate insights and increasing investigative capabilities for many relevant aspects.