When we say “actionable insights” - we really do mean the “actionable” bit

Our founding team came from the world of retail analytics. Over the years we have developed analytics for loyalty schemes, for price optimisation and for next-best-action selection.

If you’re reading this page, you’re likely well aware that swanky models are only as effective as the data that you feed them. You’ll also likely not be suprised to hear that, more often than not, our clients say the main barrier to advanced analytics is having the right data assembled in the right location to support it.

However, two other challenges occur at least as frequently: firstly, subject matter experts do not want “black box” decisions from autmated models - they want explainable suggestions that they can scrutinise; secondly, rarely do clients just want “insights” - they want to take data-driven decisions and execute them.

At Unai, our approach to developing consumer and retail analytics capabilities has always been to ensure our models end up as part of a well-supported business workflow. Simply put, our architects design systems with three, distinct capabilities:

1. Gathering and preparing the data required for advanced analytics automatically

2. Enabling human experts to explore, interpret, verify or even override model results

3. Integrating outputs with downstream systems for automated execution of decisions

In our view, only with all three capabilities in place have “actionable insights” been successfully delivered.

What could this look like for your business? Easy, simply ask us today about our Discovery process: a short, sharp review of what it will take to get advanced analytics working for you.

Project Spotlight: Consumer and Retail