Each time I start a new project helping a team build analytic into their application, I start at the same place: the plan. Often I’ll hear the same thing — “we don’t need to talk about that; we’re past all that.” That’s what I thought too, back when I built my first data application. It wasn’t until later in the project, when I started having some issues, that I realized I’d skipped over a few things in the plan.
Starting with a shared plan for your analytics is an essential first step in a successful project. These eight steps will help ensure that you don’t accidentally skip one of these early project steps and end up paying the price later.
Here’s the first checklist:
(You can download a PDF of this checklist here.)
That’s Checklist #1: Planning. It might seem like this isn’t completely focused on the data and analytics part of the project and that’s for a reason — you’re not there yet. These steps are absolutely essential to the success of an analytic project. Don’t be tempted to gloss over them — they are key to ANY major initiative.
In the next checklist in the series, we’ll cover data readiness.