Deliver Your Analytics Projects on Time

blog.getdbt.com

Something I don't hear talked about enough in the data space is delivering work in a timely way. Software engineers spend a tremendous amount of time attempting to predict and control delivery timelines; why don't data professionals do the same? There seems to be consensus that predicting the time required of a data project is inherently impossible because it's fundamentally an act of discovery.

I think this is false. I've personally delivered hundreds of analytics sprints, and I've trained others to do the same. We deliver almost all of these sprints (95%+) on time. I think that setting clear timelines for the delivery of analytics work is critical in building the data team into a trusted advisor for business stakeholders, and in this post I share our thinking on how we do it. The core of our approach is:

  1. Use Agile
  2. Eliminate as much uncertainty as possible before writing stories.

This is not rocket science—you can easily apply it in your org.

Read more...
Linkedin

Want to receive more content like this in your inbox?