Why we love metrics, and you should too

'There's five data questions masked as a million questions, asked over and over again. If you can get to those five, you win.'

This is one of the dilemmas that data teams face. So, how do you solve it?  Meet, The Metric Layer.  

• This week, we want to introduce you to this specialised semantic layer, built from a set of predefined, standardised metrics, dimensions and views. It allows the Fluent LLM to turn a few calculations into millions of potential queries and answers (aka, to win).  

• The metric layer acts as a guardrail, or blueprint for answering data questions. Without constraints, LLM's do more guesswork, and get pretty 'adventurous' with their outputs.

• Thankfully, we don't see that sort of thing from Fluent these days. Once Fluent connects to your warehouse, it automatically starts indexing tables and columns. The data team submits useful metrics, and Fluent is able to map out the metric layer. 

This layer helps users slice and dice data, providing insights like breaking down revenue by industry or geography.  A data team can introduce more complex metrics over time, too. 

The metric layer operates in a semi-feedback loop, too. Users can flag incorrect outputs or missing permissions, sending those issues directly to the data team. The data team reviews, adjusts and tests a new metric,  and the Fluent LLM scales and optimises its output. 

If you're feeling little metric-curious, drop us a line and we'll send over some info on how they can work in your business. 
Get in touch

Hungry for more metrics? 

You can find out more on how Fluent uses metrics to 'think' about the questions it receives on our product page. 

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