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Richard Boire
Customized analytics solutions(advanced and non advanced) at Environics Analytics
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Richard Boire
Customized analytics solutions(advanced and non advanced) at Environics Analytics
Joined 07/29/2017
Level: LEVEL 01 (12 mo pts: 0 pts)
Rating: 4/5 stars (1 ratings)
Lifetime points: 119 pts
My experience in data mining/data science and predictive analytics dates back to 1983 when I received an MBA from Concordia University in Finance and Statistics.
This initial experience at organizations such as Reader’s Digest and American Express have allowed me to acquire vast expertise and experience in the application of predictive modelling technology for all marketing as well as credit risk initiatives. This experience had allowed me to apply this knowledge in most industry sectors with particular emphasis in financial services, insurance, telecommunications, and loyalty.
I have been fortunate to share this knowledge and expertise into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia as well as Canada.
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I have written articles which have appeared in numerous Canadian publications such as Direct Marketing News, Strategy Magazine,etc as well as teaching applied statistics,data mining/data science and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College,Seneca College, and Centennial College. I was Chair at the CMA’s(Canadian Marketing Association) Customer Insight and Analytics Committee and sat on the CMA’s Board of Directors from 2009-2012. I have chaired numerous full day conferences on behalf of the CMA(the 2000 Database and Technology Seminar as well as the 2002 Database and Technology Seminar and the first-ever Customer Profitability Conference in 2005. I have also most recently chaired the Predictive Analytics World conferences in both 2013 and 2014 in Toronto.
As well, I have co-authored white papers on the following topics: ‘Best Practices in Data Mining’ as well as ‘Customer Profitability: The State of Evolution among Canadian Companies’. In Oct. of 2014, my new book on “Data Mining for Managers-How to use Data(Big and Small) to Solve Business Problems” was published by Palgrave Macmillan
This initial experience at organizations such as Reader’s Digest and American Express have allowed me to acquire vast expertise and experience in the application of predictive modelling technology for all marketing as well as credit risk initiatives. This experience had allowed me to apply this knowledge in most industry sectors with particular emphasis in financial services, insurance, telecommunications, and loyalty.
I have been fortunate to share this knowledge and expertise into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia as well as Canada.
.
I have written articles which have appeared in numerous Canadian publications such as Direct Marketing News, Strategy Magazine,etc as well as teaching applied statistics,data mining/data science and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College,Seneca College, and Centennial College. I was Chair at the CMA’s(Canadian Marketing Association) Customer Insight and Analytics Committee and sat on the CMA’s Board of Directors from 2009-2012. I have chaired numerous full day conferences on behalf of the CMA(the 2000 Database and Technology Seminar as well as the 2002 Database and Technology Seminar and the first-ever Customer Profitability Conference in 2005. I have also most recently chaired the Predictive Analytics World conferences in both 2013 and 2014 in Toronto.
As well, I have co-authored white papers on the following topics: ‘Best Practices in Data Mining’ as well as ‘Customer Profitability: The State of Evolution among Canadian Companies’. In Oct. of 2014, my new book on “Data Mining for Managers-How to use Data(Big and Small) to Solve Business Problems” was published by Palgrave Macmillan
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