Banks have always had quantitative aligned business practices that leveraged data to drive decisions. In many Banks, Customer Behavior Data stores were re-purposed into providing additional value through data mining e.g. in the marketing function. The use of large internal data has always been a key component of Banking Data Strategy. However, the emergence of social media, cloud, mobile, public access data sources and e-science machine learning technologies is creating an interesting business atmosphere which seeks integrate structured/ unstructured data and reinforce signals of riskiness, opportunity and customer profitability.
While we shall talk about the impact of Big Data ecosystem on a bank’s, the key focus here will be to present and evaluate ideas from Big Data Analytics, informatics and visualization that a Retail banking organization may seek to leverage to make analytics more effective. The focus would be on examples and emerging trends to show how Big Data is being effectively added value in Banks and Financial Services Organization.
Speaker : Sumit Dhar - B.Tech(Honors), IIT Kharagpur & M.S Penn State University,USA.
He has 15 years of experience in Informatics, Visualization and Predictive Analytics. He started out building Analytical Appliances in the CRM space. His current interest is in adopting machine leaning and new Big Data components in Business Analytics. Sumit was Vice President for CRM Analytics in GE Money and Vice President of Decision Analytics in EXL Service.