Trace
A metrics layer/platform where organizations can collaboratively define and consume business metrics for various use cases.
Teams
Trace
caters to:
What need does
Trace
fulfill?
As data volume, users, and use cases grow, there is a movement to democratize data — "data for everyone" (pretty hard to argue against democracy!) — but an un-governed self-serve model pushes the responsibility to the end-user. Data consumers now tussle with data day in and day out, often repeating the work of others, with a higher potential for inconsistencies and errors. But concentrating data generation in a select few producers to improve governance is either unworkable or creates bottlenecks.
Despite having the data, it’s time-consuming, error-prone, and strongly data team dependent to operate on data. Trace is for organizations that want a radically democratic data culture that is backed by good governance.
What are the core features of
Trace
?
- Purpose-built friendly environment for definition: no generic code editors, command-line interfaces, etc.
- Variety of use cases from cubes to experiment metrics to metrics monitoring etc.
- Flexibility and org-wide participation are primary; governance and consistency are enablers
What are the benefits of using
Trace
?
- Expands who can contribute valuable data assets — a finance team member can use a data scientist’s upstream building block
- Enforces consistency in metric calculations driving data trust up
- Enables transformations/use cases that are tedious to compute and operationalize
- Increases data-led productivity of the whole organization
