Metrics Store as an Interface to Data


It’s 2021 – we have a slew of data warehouses and data engineers and analysts own data pipelines through ELT, but data teams still struggle to serve metrics consistently across an organization. There are more data applications than ever before, and metrics (active users, monthly recurring revenue, churn rate) are broadly the inputs into these systems and the language that we all use to talk about data in the modern data organization. Logic for metrics is spread across the data warehouse and in downstream analytics tools. This presents a fundamental challenge for the core principles of data accessibility and the metrics store presents a novel approach to solve this challenge.

Transform is the first centralized metrics store that empowers data analysts to deliver accurate, timely, confident, and fast insights. The metrics store we’ve built is a centralized repository that sits on top of your data warehouse and enables metrics governance at scale, while making data accessible to every other tool in the modern data stack.

In this technical demo, you will walk away with the following:
Key components of a metrics store all the way from the defining metrics in code to creating a knowledge base around the metrics, such as adding annotations and asking questions of metric owners.
Enabling integrations with upstream and downstream tools to eliminate secondary sources of truth.
Building a level of trust and transparency with internal business partners


Allegra Holland is a Go-to-Market strategist at Transform; a Series-A startup focused on making data accessible within an organization through metrics. She was previously at Looker (acquired by Google), where she started as a data analyst and then explored several customer-facing roles in Support, Professional Services, and Customer Success. Beyond the world of data, Allegra enjoys surfing, backpacking, or playing with her puppy Finley.

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