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Unlocking “Big Data” — How to Jumpstart Big Data Experiments That Drive Real Business Results

American Banker - Banking Analytics Symposium

Eric Lancaster, Head of Digital Marketing and Customer Analytics Technology,
Administrative Vice President,
M&T Bank
Darryl Demos, Executive Vice President, Novantas
Phil Jarymiszyn, Director, Novantas
Hank Israel, Director, Novantas

There is a lot of anxiety around “big data” in banking — it’s overhyped by vendors based on results but early work seems to be more focused on tools and technology. Yet with the growing accessibility of big data resources, platforms in the cloud, and experienced programmers, banks are increasingly seeing viable opportunities to begin the experiment. To be successful with big data projects, banks need to understand: which business problems are suited to big data treatments, which are likely to deliver insights, which generate early success, and how to execute a project without massive commitments.

In this practical, nuts and bolts discussion you’ll receive valuable input from industry peers and Novantas about how to:

  • Target successful places for big data applications
  • Intelligently structure a “starter” big data analytics project
  • Scale big data operations for continued success
  • PLUS a case study on relationship pricing and the power of increased sample sizes and breadth of attributes in complex models

For more information, contact Novantas Marketing

+1 (212) 953-4444