Getting the most out of enterprise analytics systems is not easy. A lot can go wrong on the way from gathering business requirements to getting actionable insights. While most of my posts are focused on the analysis or reporting capabilities of Adobe Analytics, this post is focused on how I plan and build my implementations. With an analytics system like Adobe Analytics, even small implementation choices can have large consequences later down the value chain. Errors and misjudgments can lead to skewed data that is affected in a non-obvious way. The implications range from more effort during analysis or higher maintenance to wrong conclusions and business decisions. This post will walk you trough the number of steps I take when planing a new Adobe Analytics implementation. While I’ve been successful in delivering value by following those, there might be situations where a different approach is better suited to the task […]