Leadership &
Innovation

A proven track record of innovations: Web Analytics Association Leadership and Technical Excellence Recognition, Certified Digital Analyst and Digital Analytics Association Most Influential Industry Contributor.

Experience
 

Over 25 years of development expertise and acute knowledge of Google Tag Manager and Google Analytics implementation techniques. Expert at leveraging the intuitive and powerful slicing & dicing capabilities of Tableau Software.

Empowering Confident Decisions

An approach based on a thorough understanding of critical success factors contributing to digital analytics maturity. Striking the balance between optimal and realistic solutions to empower confident business decisions.

Professional
Speaker

An experienced teacher and speaker who share his passion for digital analytics - be it technical 'how to' or assessing organizations' digital analytics maturity, Stéphane can walk the talk.

Highlights

Online Analytics Maturity Model

Created in 2008, the Online Analytics Maturity Model (OAMM) helps managers and analysts asses their digital analytics strengths and weaknesses in six key areas of maturity. The OAMM self-assessment tool is a great way to spark the discussion, raise awareness about the importance of analytics, and plan a realistic roadmap to achieve digital analytics success.

Web Analytics Solution Profiler

Pioneered in 2006, WASP is used by thousands of analysts and implementation specialists to comprehensively detect, accurately analyze, and intuitively display the various tracking tags and scripts that are loaded by websites. It solves a key business issue of the digital age: preventing marketers from making important decisions on wrong, or faulty, data by ensuring that the tags that generate that data are deployed correctly and sending only error-free information.

Tag Management: Data Layer/DOM-Scraping Pros & Cons

Published July 15, 2014, Cardinal Path Blog

Is the data layer the be all and end all of tag management? In this article, we explore the benefits and caveats of using a data layer versus DOM-scraping techniques.

Big Data - what it means for the future of the digital analyst

Published June 12, 2012m Online Behavior

The simplest definition of "Big Data" is "it doesn't fit in Excel" - most analysts wonder how to make the shift from a traditional web analytics approach to a Big Data one. Shifting away from Excel forces the analyst to change his approach, view the data differently, and explore new solutions. Read on...