Stéphane Hamel is leveraging the latest thinking, innovations and technologies to make digital analytics accessible to agencies and organizations.
Stéphane Hamel is a seasoned consultant and distinguished thought leader in the field of digital analytics.
A proven track record of innovations: recognized as Google Product Strategy/Expert (2016), Most Influential Industry Contributor by the Digital Analytics Association (2013), Certified Digital Analyst (2010), Web Analytics Association Leadership and Technical Excellence Recognition (2009). Creator of the Digital Analytics Maturity Model (DAMM) (2009) and WASP (2006).
Experienced teacher and speaker who share his passion for digital analytics - be it technical 'how to' or assessing organizations' digital capabilities and maturity.
An approach based on a thorough understanding of critical success factors contributing to a sound strategy. Striking the balance between optimal and realistic solutions to empower confident business decisions.
Twenty-five years of relevant expertise in online strategies, digital analytics concepts, instrumentation best practices and expert at turning data into insight.
Paul Hassels Mönning, DutchmarQ. February 1, 2016
One of the world's foremost thinkers in digital analytics
eMetrics SF 2015 attendee
Love Stephane and I think the conference needs somebody to do what he does, which I believe might be summed up by "Think for Yourself".
Deepak Nair, Digital Analytics Consultant/Architect at Cognizant
I have followed your articles on WA and analytics in general, & they were the driving force in helping me grow from a Web Analyst to Digital Analytics Consultant.
Over the past decade I have shared my passion for digital analytics to thousands of people at industry conferences, corporate and agency events and through online training. I have spoken on a wide range of tactical to strategic topics in Canada, the United States and Europe.Hire me as a speaker
What is analytics? "The science of analysis". How an organization arrives at an optimal and realistic decision informed by data.
What is analysis? The process of breaking a complex topic into smaller parts to gain a better understanding of it.
What is the business context, goal, or problem to solve?
Gather and validate relevant data. Perform basic analysis on unitary data.
Visualize and uncover patterns and correlations from multiple data-sources.
Recommend the most optimal and realistic approach or solution.
Watch for side-effects, review outcomes and monitor in the future.