Big Data technologies help insurance companies in such areas as risk analysis, fraud prevention, targeting ...
Big Data: a new weapon against fraud
Thanks to Big Data technologies, insurance companies can now easily and reliably detect suspicious claims. "Bad risks" can also be identified much more reliably by leveraging computer storage and open data such as information available on social networks.
Big Data: customization and control tool in health insurance and car insurance
Data collection allows insurance companies to know their customers better in order to provide them with personalized product and services offerings.
Innovative approaches such as devices that can be installed allow insurance companies to analyze the way their customers drive. For health insurance, Big Data can allow to verify if a customer who has announced to have quit smoking actually has done so.
We can help you leverage Big Data solutions in several areas of the financial services sector
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- Wealth management
- Risk management
- Fraud management
- Personalized investment advice
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Big Data for Trading
Highly efficient trading algorithms can be developed by leveraging large amounts of data from multiple data sources in real time. Our Big Data experts can assist you in the analysis, development and roll-out of such algorithms.
Big Data for Risk Management
In a continuously changing environment, financial services organization constantly need to define new rules for identifying and mitigating risk. Risks include: uncertain financial markets, susceptibility to legal liabilities, competitive risk of losing customers, impact of natural disasters, liquidity risk, interest rate risk, operational risk, etc.
Our Big Data solutions help you to gather, analyze and get an overview of the risk data in real time, resulting in better management of risks.
Big Data for Fraud Management
Predictive analysis tools are used to build models to detect and prevent fraud.
Our Big Data solutions can assist you in analyzing the correlation of data from multiple sources, such as location information, buying habits, transaction historical data and other sources to detect credit card fraud.
Big Data for Commodity Trading
Our Big Data solutions help the Commodity Trading to generate better returns.
A trader who works on prices of wheat can now get direct feeds from the farms in real-time, using sensors deployed in the farms that provide information instantly about crop yields, crop type, timing for harvest, etc. and generate better returns.
Big Data for personalized investment advice
Our Big Data solutions can provide customers with automated investment advice, based on Big Data algorithms that can even replace advisers.
