A prominent European insurance company embarked on a transformative journey to tackle fraudulent claims using advanced IoT and big data analytics combined with geospatial and temporal insights. By leveraging DataWalk software, the insurer aimed to validate a novel hypothesis: discrepancies between reported incident details and real-time geospatial data from a local mobile reporting app could signal fraudulent activity. With billions of IoT-sourced records, the insurer needed a scalable platform capable of applying pattern recognition algorithms and conducting fraud hypothesis testing efficiently.
Key obstacles included:
Solution
The objective was to empower analysts to design and deploy analytical solutions within hours. The agency’s project exemplified this goal, leveraging DataWalk’s platform to integrate advanced algorithms and artificial intelligence (AI), including natural language processing (NLP), to extract meaningful insights from vast amounts of text. Pattern detection algorithms and keyword frequency analysis were used to uncover critical intelligence. The platform’s customizable features allowed analysts to define keywords, enabling precise queries and scoring mechanisms.
During a three-day workshop, the agency utilized DataWalk software to build a comprehensive Situational Awareness Management System. Core features included:
The collaboration with DataWalk yielded remarkable results:
This project underscores the transformative potential of DataWalk’s Situational Awareness Management System and its ability to deliver rapid, impactful solutions tailored to national security challenges. With its comprehensive capabilities, DataWalk software is setting new benchmarks for situational awareness solutions and country intelligence software, empowering organizations to stay ahead of emerging threats in a complex global landscape.