We help companies, from heavy industry to manufacturing, to leverage value out of their data. Analytics is brought in real-time to operators so that they can make the best data-driven decision. Through performance analytics we optimize productivity by maximizing production and/or minimizing costs, while through quality analytics we decrease defect rate and optimize the post-sale costs. Finally with predictive maintenance we can predict which production assets have to go on maintenance or which parts of these assets have to be replaced before they have breakdown to avoid both defects and long downtime.

We help banks, insurance companies and government agencies to score fraud risk and make use of big data in the intelligence lifecycle. Through fraud analytics we help discover suspicious accidents and unfair infirmity, as well as avoid fraudulent transfers and widthdrawals that cost a lot to community. We also help government agencies to implement real-time scoring systems for customs clearance, tax frauds, health insurance frauds, as well as other companies to tackle procurement fraud.
Finally we help intelligence services analyze both unstructured and structured data (report, surveillance data, OSINT data, telephony data...) in order to discover links between cases, people of interest in a network, patterns or outliers. This allows investigators and analysts to be more efficient and to be able to analyze much more data.

Contact us to discuss how analytics can bring you value and how it could fit your business.
Although we are technology agnostic, most of our projects are carried out with SAS (Viya and 9.4) and Python by certified experts. Models can be deployed in event stream processing engine, micro services or ETL flow depending on your needs and your technological landscape. In some cases we can even deploy models in your DCS.