Past Event! Note: this event has already taken place.
An Introduction to Digital Analytics for Data Scientists, Jim Cain, Founder and CEO of Napkyn Analytics
November 15, 2017 at 1:30 PM to 3:30 PM
| Location: | 5345 Herzberg Laboratories |
| Cost: | Free |
Abstract
With the evolution of analytics technology, the web has become a significant source of digital data for marketing decision making. But with the rise of cloud technology, this digital data is increasingly being used beyond the marketing department as the source for traditional business decision making, from supply chain to the sales cycle and even human resourcing.
In this session Jim Cain, the Founder and CEO of Napkyn Analytics, will break down the history of digital analytics, the current state of industry best practice for digital data analysis and analytics technology infrastructure, and share real world use cases for best-in-class applications. With an emphasis on the intersection and integration of digital analytics with a data science practice, each listener will leave the session with new insight, strategic direction, and applicable tactics for a career in data science and digital analytics.
About the speaker
Jim Cain is an OBJ (Ottawa Business Journal) Top 40 Under 40 with over 15 years experience in digital technology and analytics. After starting Napkyn Analytics in 2009, Jim has successfully bootstrapped a multi-million dollar analytics consulting agency that specializes in enterprise digital analytics technology implementations, data analysis services, and executive consultation and training. A leader in enterprise digital analytics among prominent retail and eCommerce companies, Napkyn is one of the largest Google Partners in North America, and a Canadian PROFIT 500 business for two consecutive years.
In 2014 Jim launched his second company, Babbage Systems, to further support Fortune 1000 enterprises in North America to compete in their marketplaces using Google Analytics. Babbage’s Analysis Engine is a cloud-based SaaS that layers additional functionality on top of the Google Analytics APIs to address the unique challenges of capitalizing on the power of Google Analytics in an enterprise organization.
Please note attendance will be taken.