Trace automates common calculations and metric transformations giving your data and business teams superpowers to operate the business
"Trace is taking a novel approach to building high value metric transformations on top of business semantic concepts. We are excited to partner and leverage Trace for several applications at Convoy like composable reporting, self-service analytics and root causing."
"Trace is thoughtfully engineered to bring much needed organization and transformation functionality to our metrics. We are excited to onboard several use cases on this platform."
"We use Trace to root cause segment-level drivers of key metrics before monthly exec meetings. We are also simulating metric scenarios for the growth team. Excited to leverage the growing list of "templates" for our various use cases."
"At Airbnb, we got tremendous utility from our in-house metrics tool, Minerva. Trace's unique approach extends beyond the goals of Minerva, serving automated templates for root-cause analysis, experimentation etc. - a next generation analytics and operations tool."
Leveraging the power of business semantics, Trace powers self-service analytics and operations - dynamic reporting, root cause analysis, experiments, simulating metric scenarios, and more.
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 or segment once; compose and reuse for various use cases. Save time for perpetually constrained data teams.
Empower data savvy users in the org to run repetitive metric analysis on their own.
Understand your connections - isolated metrics in reports don't get to the full story
Demand more from your data. Run the OKR process with a strong analytical backbone.
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.