The power of the data-driven approach has become obvious. But data-driven design is not synonymous with data collection. 'Data-driven' refers to how you collect data and what you do with it once you’ve got it. You can’t go from analytics to action without being sure that you're collecting the right data and that it reflects the full picture of what’s happening on your website.
Web analytics implementation is much more complex than most people think, and testing web analytics remains a cumbersome task.
We have 4 alternatives:
These approaches may work if you just have a few tags in your website, but definitely not if there are more than 500 tags to record. In this case, the automation of data correctness tests becomes crucial.
During this session we will use a one-year real project to show you how a cross-functional team collaborated together to build a test framework based on open source tools (Jenkins, PhantomJS, CasperJS) to automate web analytics testing and validate the correct tagging.
Our lesson was: 'never assume, and always check as early and as often as possible'.
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Need help planning which sessions to attend? We've provided a breakdown of our various session types below.
A presentation and discussion of real-life (not theoretical) experiences of the application (or mis-application) of Agile and Lean practices. Case studies and experience reports include some discussion of lessons learned and an indication of how novel the work is.
Participants learn a new approach, tool or technology through using it to solve one or more practical exercises. Any software/hardware requirements are disclosed in the session description.
A session focused around some specific tool, technique or issue. Primarily led by the speaker, tutorials usually include some elements of interactivity or individual / group exercise.
An in-depth working session on a specific topic. May include paper presentations.