Forensics Debriefing Analytics

FDA or Forensics Debriefing & Analytics is a revolutionary incident information management and analytics solution from SCS Tech Pvt. Ltd. FDA integrates with various data management system, Video management system, Audio Management system, Access Control system etc, and perform advanced analytics. Its user-friendly interface allows users to play all relevant artifacts in chronological order and analyse an incident and numerous supporting evidences lying in the form of textual or multi-media artifacts.

Powered by Artificial Intelligence and machine learning, the tool is capable of unearthing even unreported incidents and events, thus adding a new dimension to traditional Debrief solutions. The system comes with a unique Debrief framework which allows a user to highlight, comment, trace objects, attach artifacts and pass on the analysis to other users for further assessment. The tool comes with a powerful Dashboard and Visualtion module which delivers a full spectrum analytics and awareness of situation. The Dashboard consumes data from Incident Management Tool, Sensors, ERP, SAP, Social Media etc. which helps in analysing the performance and prepredness of Emergency Response department. Its social media module mines the data lying in social media and segregates them as useful information/ evidence or potential incidents. A user can use this information to analyse an incident or analyse the sentiments of public.

The solution provides complete encryption of the data and ensures that no tampering with the evidences goes unlogged. This adds to the reliability and trustworthiness of this system and can be used in the court of law.

FDA - Lifecycle

Social Media Analytics

The tool comes with a powerful Dashboard and Visualtion module which delivers a full spectrum analytics and awareness of situation. The Dashboard consumes data  from Incident Management Tool, Sensors, ERP, SAP, Social Media etc. which helps in analysing the performance and prepredness of Emergency Response department. Its social media module mines the data lying in social media and segregates them as useful information/ evidence or potential incidents. A user can use this information to analyse an incident or analyse the sentiments of  public.

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