Many organizations invest in analytics platforms, run training sessions, and expect adoption to follow. But months later, usage is low, teams have drifted back to Excel, and leaders are questioning whether the investment was worth it.
The problem is rarely the tool itself. Analytics rollouts often fail when they are treated as technology implementations instead of organizational change initiatives.
In this session, we’ll explore the common blockers that prevent analytics platforms from becoming part of everyday work: weak leadership modeling, lack of time to work differently, training that does not connect to real business questions, and the absence of an ongoing data community. We’ll also share practical ways teams can improve adoption before buying, renewing, or expanding their analytics platform.
What attendees will learn
Why analytics adoption often stalls after launch
How leadership behavior shapes platform usage
Why training alone does not create lasting adoption
How to identify different data personas and support them properly
Why teams need time and permission to shift from reporting to exploration
How data communities, office hours, and champions networks sustain adoption
What to assess before buying or renewing analytics licenses
