Today’s digitalization of critical infrastructure of the government department’s landscape generates increasing volumes of data in data sources. Big data refers to digital stores of information that have a high volume, velocity and variety. Big data analytics is the process of using software to uncover trends, patterns, correlations or other useful insights in those large stores of data. Big data analytics offers tremendous potential to revolution their organization. Storing huge volumes of data and applying intelligent analytics is indispensable in future crime detection and investigations.

One of the biggest challenges of Big Data Analytics is the explosive rate of data growth. Artificial Intelligence (AI), mobile, social and Internet of Things (IoT) are driving data complexity, new forms and sources of data. Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.

Analyzing big data allows analysts, researchers, and LEA officers to make better and faster decisions using data that was previously inaccessible or unusable. Using advanced analytics techniques such as machine learning, predictive analytics, data mining, statistics, and natural language preprocessing, LEAs can analyze previously untapped data sources independent or together with their existing enterprise data new insights resulting in better and faster decisions.

We offer enterprise grade data Big Data platform. The Analytics Suite is a big data-driven solution that generates actionable insights into criminals pervasive behavior. The Analytics suite analyze data from any underlying data structure with dashboards and workflows that are powerful and easy to use. These suites are current under use in strong and analyzing huge volumes of digitalized criminal records. Our solutions empowers LEA officers with an intuitive, easy-to-use interface to leverage the full spectrum of big data analytics technology, without requiring any data science or IT expertise.