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Predictive Analytics in Banking

  • Topic:
    Collaborating between risk and marketing analytics to fuel growth and profitability
  • Date:
    September 21-22, 2011
  • Event host:
  • Venue:
    Park Central Hotel, New York City,
  • Speakers:
    Pranay Agrawal-Co-founder and CEO
  • Session Summary:

    Banking institutions are growing credit and deposit portfolios by attracting new customers and cross-selling existing customers. The most successful companies achieve competitive advantage by leveraging analytics to improve decisions, enhance marketing, and influence consumer behavior. The availability of data and low-cost storage technology is creating an imperative for financial service companies to fully leverage and centralize analytics across their enterprise.

    This session will explore a case study highlighting the analytic journey of a major financial services leader including the benefits of building data warehouses and predictive analytics to turbo-charge decisions across lines of business for marketing and risk management.




  • Pranay Agrawal

    Co-founder and CEO

    Pranay has led Fractal to be one of the most respected analytics company in the world. Fractal is working with over 50 Fortune 500 companies helping them drive better business outcomes by embedding analytics in their decisions and processes. Fractal is well recognized for its client-centricity with a Net Promoter Score of over 60%. 
    Forbes recently ranked Fractal as the 7th best funded analytics company in the world, the Great Place to Work Institute rated them as the “Best Company to work” for in the analytics industry, Fractal was also called out as a “Cool vendor in analytics” by Gartner, Forrester rated them as a “Top provider for Text analytics” for their product dCrypt. 

    Pranay has an MBA from the Indian Institute of Management (IIM) Ahmedabad, a Bachelors in Accounting from Bangalore University, and is a Certified Financial Risk Manager from the Global Association of Risk Professionals.

    He derives his passion for analytics from his belief that data and analytics are making the world a better place.