BEGIN:VCALENDAR
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DESCRIPTION:Click for Latest Location Information: http://edw2014.dataversity.net/sessionPop.cfm?confid=79&proposalid=5955\nFinancial institutions are facing the challenge of becoming more accurate in their customer retention strategy. Particularly in the case of Latin American markets banks are also being faced with new competitors such as retail stores, who are willing to take greater risks to expand its market share.  \nThis presentation describes an approach to addressing this important Customer Master Data problem based on predicative analytics using techniques based on Big Data and data mining.  \nWhile this approach can more accurately identify customers more likely to "churn" (move to a competitor), companies find it difficult to quantify the benefits of such projects. In this session you will discover through a case study a methodology for quantifying the business case and be more effective in the internal sale of business analytics projects.   \nIn this session you will learn:\n  How to identify the key points for securing the internal buy-in of Big Data Analytics projects.\n Understand through a practical case study the power of advanced techniques for business analytics to support your Customer Retention strategy.\n Discover how to quantify the business case for your Customer Retention programs and support them through predictive techniques.
DTSTART:20140430T083000
SUMMARY:The Big 3: Big Data, Big Mining, Big Profit
DTEND:20140430T091459
LOCATION: See Description
END:VEVENT
END:VCALENDAR 