Rolling it out without it becoming shelfware
Most analytics tools are bought successfully and adopted badly. The pilot goes well, twenty people use it for a month, and a year later it is a line on a renewal that nobody can defend. These guides are about the part after the decision: what it costs your team to start, who has to own what, and the signals that tell you early whether this is going to stick.
The first ninety days, in named roles and hours
What a realistic rollout asks of your team, week by week, and the three things that most often turn a good pilot into shelfware.
6 min readWho owns what a number means?
Self-service fails on governance, not technology. A short guide to deciding who settles a definition, and what happens to the ones nobody has settled.
5 min readWhat your security team will ask, and the answers that satisfy them
The ten questions that come up in every review of an AI analytics tool, why each is asked, and what a good answer sounds like.
6 min readHow to tell if it is working, before the renewal
Logins go up during every rollout. Four measures that actually indicate whether an analytics tool has changed anything.
4 min read