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Big Data at Progressive

Big Data at Progressive. Gary Weber November 2013. Agenda. What is Big Data? Why is it important to Progressive? What are we doing about it? What technology are we looking to implement?. What is Big Data?. Why is it important to Progressive? .

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Big Data at Progressive

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  1. Big Data at Progressive Gary Weber November 2013

  2. Agenda • What is Big Data? • Why is it important to Progressive? • What are we doing about it? • What technology are we looking to implement?

  3. What is Big Data?

  4. Why is it important to Progressive? • Business Intelligence requires unpredictable access • Today we extract a small % of this data’s intelligence • We’ll be prepared for the… • Unknown Unknown’s

  5. Big data can impact every aspect of our business… Capabilities Know Everything about your Customer Analyze all sources of data to knowyour customers as individuals Innovate New Products at Speed and Scale Capture all sources of feedback and analyze vast data to drive innovation Instant Awareness of Fraud and Risk Analyze all available data, detect fraud and manage risk in real-time Exploit Instrumented Assets Predict and prevent maintenance, develop new products & services

  6. Analytics is expanding from enterprise data to big data, creating new opportunities for competitive advantage Traditional ApproachStructured, analytical, logical New ApproachCreative, holistic thought, intuition Hadoop &Streaming Data Data Warehouse Web Logs, URLs Contact Center notes Transaction data Text Data: emails, chats StructuredRepeatableLinear UnstructuredExploratoryIterative Customer data Social Data Enterprise Integration Core system data Log data 3rd party data Geolocation data Traditional Sources New Sources Sensor Data and Imagery RFID

  7. tdwi.org

  8. The Hadoop Components…

  9. Business Learnings • We’re early in the game, haven’t learned a lot yet • Cultural change • Display Ads • Second showing of ad impression within a week drives up conversion rate

  10. Big Data Learnings • It’s a complementary technology not a replacement • There’s more to it than meets the eye: • Integration into your environment • Operational impact • Security • Important to understand how the data will be used • Cloud and on-premise possibilities

  11. Questions

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