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Top 10 Revenue Drivers For Data Science In Financial Services For 2017
Session Time and Date
Wednesday, May 24th from 2pm – 3pm CDT
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Steps to Follow
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With the assistance of data science and big data analytics, many industries have been able to leverage large volumes of information to make data-driven decisions that enable them to capitalize on opportunities and substantially improve revenue generation.
It is truly vital for financial institutions to utilize the immense amount of data they store & interact with on a daily basis, and to implement data science solutions that maximize the value of this information.
In this discussion, Meina Zhou will speak about the top 10 data science revenue drivers that are impacting financial services in 2017, such as customer segmentation and churn prediction. She will also discuss how financial institutions can effectively implement data science solutions to address these developments.