Trace exploits a business semantic graph for blazingly fast, granular analysis or operational workflows for data consumers across the organization
"Trace quickly and comprehensively analyzes segment-level drivers of our key KPIs. We are expanding usage to running pre/post analysis with a few clicks, and simulating business scenarios for planning purposes. Excited to leverage Trace for our various needs."
"Trace is taking a novel approach to unlocking the power of the data warehouse for end consumers. I am excited to see Trace support several applications at Convoy like composable reporting, experimentation, and root causing KPI changes."
"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 segment root-cause analysis, experimentation etc. - a next generation analytics and operations tool."
"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."
Combining the power of a business semantic graph and a modern in-process OLAP engine, Trace "templatizes" and generates fast, granular outputs for various analysis and operational use cases
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.
You have done the hard work setting up the data warehouse, ingesting, cleaning and building data pipelines. Put it all to work and democratize consumption - extract the hard-earned value
Takes just a few clicks to run common or complex analysis. Save precious time for perpetually constrained teams.
Empower data savvy users in the org to run repetitive analysis or generate lists or answer a "what-if" question.
The semantic graph (first of its kind!) models connections between metrics and even business processes
Demand more from your data. Run the business in a tough economy 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.