The only constant with Big Data is change. The data itself is not necessarily new but the fundamental paradigm shift is increased access to data. Advancements in technology vis a vis apps alongside the continued need for advanced programming skills have provided the tools that have allowed for this increased access.
But increased access to data has resulted in exponential growth and the need for analytics both from an advanced and non-advanced perspective. Questions abound that with new Big Data technologies , the analytics discipline, itself, needs to undergo transformational changes. But does it?
In this session, we explore the four step process of analytics and how it can be applied to all analytical exercises and projects. Within the Big Data paradigm, we identify what is unique and new to this discipline versus what has remained constant over the many decades of applied analytics within such sectors as credit card risk and direct marketing.
About the Speaker
Richard is a recognized authority on predictive analytics and is among a very few, select top five experts in this field in Canada, with expertise and knowledge that is difficult, if not impossible to replicate in Canada. This expertise has evolved into international speaking assignments and workshop seminars in the U.S. , England, Eastern Europe, and Southeast Asia.
His experience in predictive analytics and data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics. Richard formed his own consulting company back in 1994 which is now called the Boire Filler Group, a Canadian leader in offering analytical and database services to companies seeking solutions to their existing predictive analytics or database marketing challenges.
In March of 2016, Boire Filler Group was acquired by Environics Analytics where his current role is senior vice-president.
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