Trace organizes, connects, and automates various metric transformations supercharging your data and business teams to measure and propel performance
"Trace is taking a novel approach to modeling and linking business semantics and building high value analytical applications. We are excited to partner and leverage Trace for several applications at Convoy like experimentation, composable metrics reporting, and root causing."
"Trace is thoughtfully engineered to bring much needed organization, connectivity and automated transformation functionality to our metrics. We are starting with A/B and Quasi experiments use case, and excited to onboard more use cases on this platform."
"We use Trace to root cause how segments drive key metrics, and to isolate the impact of initiatives. We are expanding use cases to simulate metric scenarios, and run and measure experiments. Excited to leverage these powerful metric applications in our OKR process."
"At Airbnb, we got tremendous leverage from our in-house metrics tool, Minerva. Trace's unique approach extends beyond the goals of Minerva - driving applications such as experimentation and root-cause analysis - a powerful “metrics stack” for organizations."
Backed by a semantic layer that maps datasets to business concepts, Trace powers metrics applications to operate your business - composable reporting, root causing changes, A/B and quasi-experiments, and simulating scenarios.
Easily and progressively map your datasets + sql snippets to the semantic layer; validate, review, publish.
Generate outputs optimally shaped for reporting, experimentation metrics, root cause analysis and more.
Trace supercharges your data and business teams to measure and propel performance
Map a metric once; compose and reuse for various use cases. Save time for perpetually constrained data teams.
Empower data savvy users in the org to run advanced and often repetitive analysis on their own.
Understand your complex, connected business - isolated metrics in reports don't get to the "why" or the "how".
Demand more from your data. Run the OKR process with strong analytical inputs. Set, track and impact performance.
Define business concepts once, reuse many. Save precious time - especially for perpetually constrained data teams.
Empower data-thirsty users in the organization to self-serve through business concepts, not code.
Break the silos of isolated metrics. Answer connected questions otherwise seemed out of reach.
Run your business with confidence in the insights. Run more experiments. More shots on goal.