A primary technology and telematics company has launched a Project to rationalize all data coming from an ecosystem of heterogeneous platforms and applications present in the company, including those aimed at collecting and analyzing data from IOT devices installed on vehicles for tracking the insured person’s behavior (GPS position, inertial data, speed, etc.). The clients objective was to both increase the data and information for their business and to optimize the operations costs.
The company has implemented an architecture based on Data Lake Cloudera, Talend Big Data Platform as ETL and for process monitoring and SAS as a front end.
The Big Data infrastructure consists of 30+ nodes and ETL tools to process data from different and heterogeneous sources. The platform has the ability to transparently serve existing reporting and BI systems as it performs parallel calculations on large amounts of data through analytics tools.
The implemented infrastructure is scalable in terms of both quantity and variety of data.
The Customer company increase the quality of operation and use the new platform and data to model, customize the offering increasing competitive advantage and succeeding in the market with their services.
HUMANATIVA supported the customer throughout the project lifecycle, starting with the definition of the architectural design in accordance with the business requirements and available data sources. We implemented the project and perform application maintenance (AMS).
