Big Data

Financial Services: From BI to Big Data

Financial Services: From BI to Big Data

While Bi and Analytics are not relatively new concepts for financial services organizations, based on rapidly changing business models, shifting regulatory reforms, the expansion into new markets, and continually morphing risk management needs, would using just “traditional” BI cut it? Is Big Data a good answer? Is there a compelling business case to escalate from traditional BI to Big Data? What have financial organizations tried with respect to BI transformation and Big Data adoption, in order to meet the new needs of clients?

Contributors

    • Charles Costa, head of Global Technology and Operations and Chief Information Officer, J.P. Morgan Asset Management
    • Dr. Michael Chui, Senior Fellow, The McKinsey Global Institute

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Contributors

Charles Costa

Charles Costa, head of Global Technology and Operations and Chief Information Officer, J.P. Morgan Asset Management

Charles Costa is head of Global Technology and Operations and Chief Information Officer for J.P. Morgan Asset Management, one of the world's largest providers of wealth and asset management services to institutional, high-net-worth and reta... More   View all posts
Dr. Michael Chui

Dr. Michael Chui, Senior Fellow, The McKinsey Global Institute

Michael Chui is a Senior Fellow of the McKinsey Global Institute. He is based in San Francisco, CA, where he directs research on the impact of information technologies, such as Big Data, Web 2.0 and the Internet of Things, on business and ... More   View all posts
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Charles Costa

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