Insight, Impact, Innovation
HomeEventsAnalytics for Insurance

Analytics for Insurance


  • Topic:
    Lead or Follow: How to build your analytics dream team to drive insight, impact, and innovation
  • Date:
    March 19-20, 2014
  • Event host:
  • Venue:
    Hilton Chicago/Magnificent Mile Suites, 198 E. Delaware Place, Chicago, Illinois, United States
  • Speakers:
    Deepak Ramanathan-VP, Global Consulting - FSI
  • Session Summary:

    Rapid innovation in disruptive technology such as driverless cars and telematics, combined with demographic shifts and evolving consumer behavior, is creating an inflection point for the insurance industry.  At the same time, insurers are looking to outpace competitors in an environment where growth has settled at 2%-3% with a combined ratio around 100%.

    Whether insurance carriers choose to lead or follow, business users need information that is smarter, faster and visual so they can easily drive short-term objectives as well as longer-term strategies. To deliver what business users need, your analytics team needs a wide range of skills that optimizes an ideal collaboration between humans and machines.

    In this session, we will review how different roles can be configured within an analytics team to solve different business problems across the insurance value chain.

    Key points:

    • Review examples of short-term and longer-term disruptions that are changing the insurance industry
    • Learn how you can institutionalize and increase analytical sophistication to enable a data-driven enterprise
    • Explore ways to configure your analytics dream team to address underwriting, pricing and claims across business analysts, data science, big data engineering and visual story-telling

Speakers

  • Deepak Ramanathan

    VP, Global Consulting - FSI

    11+ years experience in consulting & analytics to define, design and implement analytics road maps enabling fact based decision making. Deepak has worked in areas such as: pricing, customer lifetime value, fraud and crime prediction.