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Solving Credit Card Fraud Challenges with Hadoop

Recorded on October 11th, 2016

The Global Credit Card industry is rapidly changing and the participants are increasingly facing new challenges with exploding volumes, regulatory pressures and new entrants competing for the market share. The industry has responded to these challenges by looking at avenues to cut costs, increase efficiencies and provide better, safer products and services to attract new and retain existing customers. To help our customers address this challenge, Hortonworks and Capgemini are collaborating to create a suite of Credit Card Analytics solutions designed to enhance decision making by leveraging all of the data available including customer data, transactions, third party data, open data, government data, location data, social data, etc. The first solution in this suite of solutions is focused on Credit Card fraud.

Fraudulent behaviours evolve and so must the solutions that are used to detect them. Traditional rules based anti-fraud systems are no longer equipped to handle large volumes of data that is required to adapt to and detect the evolving fraud patterns. Identifying fraudulent behaviors is increasingly becoming more complicated and validating all transactions based on traditional technologies represent scaling challenges.

Join Hortonworks and Capgemini as they discuss:
– How the joint anti-fraud solution can support your business throughout the entire credit card transaction life cycle
– How we can help increase fraud detection accuracy using Predictive analytics and run it real time
– Why leading organizations are choosing Hortonworks Data Platform as the platform of choice for fraud detection

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