Hadoop use cases for financial services and insurance

Join us for a Financial Services and Insurance Lunch and Learn Wednesday, June 12 to hear how companies are leveraging Hadoop for analytic insights previously unimaginable.

You must sign up here: http://web.hadapt.com/chicago-meetup

In this session, you’ll learn how companies are unifying Hadoop, interactive SQL querying, and data visualizations to correlate Big Data of all types – audio, email, instant messages, machine-generated events, structured data – and deliver the richest analytic insights for mission-critical applications, such as:

Customer experience analytics: Pull data from more sources, and process it faster, to provide enhanced analytics around customer interactions and wallet share.

Customer lifecycle management: Perform holistic root-cause analysis of customer churn, and identify/implement targeted actions to help reduce turnover.

Fraud detection and analysis: Easily detect fraud signatures for effective risk management and loss prevention. Develop models that predict future fraud events.

Trade analysis: Analyze the daily streams of transaction data in conjunction with unstructured news or social media feeds, or back-test trading algorithms.

Web-scale analysis: Analyze what is being said on the web at large, and on social networks, to improve marketing to existing customers through better targeting.

Do not forget to reserve your seat: http://web.hadapt.com/chicago-meetup

Who Should Attend?
Risk professionals, fraud professionals, security professionals, actuaries, CIOs, CTOs, CISOs, CAOs, quants, data scientists, data analysts, Big Data technologists, Hadoop engineers, visualization professionals, and more.

Hope to see you there!