Blog post

Adopt Lean Principles to Guide Efficient Analytics and Insights Functions

By Ethan Budgar | April 03, 2020 | 0 Comments

MarketingData and Analytics

How can I do more with less?


It’s an evergreen question for Insights and Analytics teams, but one that’s certainly increasing in volume and importance. Teams are looking to improve processes and gain efficiencies, and one method for doing so is by mirroring some of the tactics used in the manufacturing industry.


Manufacturing? Yes, but hear me out.


To help with efficiency, Marketing Analytics and Insights teams can draw from the Lean framework that has become prevalent in the manufacturing and start-up industries. Defined as “a production optimization methodology that relentlessly seeks out and eliminates activities that do not create value for customers,” lean describes seven categories of possible waste.

While all can apply to Analytics and Insights, three stand out in particular: Over-Production, Processing, and Inventory  (the full list can be found here— subscription required).


  • Over-Production: Lean teams can’t afford to address every request with the same resource intensity. To avoid expending unnecessary resources, work with your team to establish a vetting system to identify projects that can be fulfilled without typical resourcing requirements.


  • Processing: Poor process design can lead teams to consistently complete projects of low value, or in some cases, inefficiently communicate their findings. Both challenges lead to wasted effort and resourcing.


  • Inventory: Collecting new customer data is expensive, and sometimes unnecessary. Insights and analytics teams should strive to make better usage of existing data and insights. In many cases, insights that have already been derived can add value to new and existing projects in the pipeline.



These are just a few of the ways that we see Insights & Analytics teams gain process efficiency. Think about how you can begin to implement these processes, and if you have any questions, don’t hesitate to reach out!


The Gartner Blog Network provides an opportunity for Gartner analysts to test ideas and move research forward. Because the content posted by Gartner analysts on this site does not undergo our standard editorial review, all comments or opinions expressed hereunder are those of the individual contributors and do not represent the views of Gartner, Inc. or its management.

Leave a Comment