How It Works
Trace reads from your data platform, and operationalizes "metric trees" to automate analysis work across data, business and executive teams
Trees
Operate
Modeling the business inputs and outputs via metric trees, Trace streamlines strategic and operational analytics for data consumers
Sources
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Modules
Sources
Modeling the business inputs and outputs via metric trees, Trace accelerates the manual, ad-hoc analysis workflows between data and business teams
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Design
Metric Trees
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Map
the Metrics
Bring Metric Trees To Life
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Utilize and Operate
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Metric trees are models of how business metrics relate to one another. They may look like another dashboard format at first glance, but they’re much more — they’re computable structures that unlock automation of tedious analysis work.
Start with a key outcome metric you care about — like revenue — and break it down layer by layer into the inputs that drive it.
For example: Revenue → Orders → Items per Order → Price per Item; and each of those can be segmented, such as new vs. existing customers or channel. This is a metric tree: a structure that connects outcomes to the inputs behind them.
Data investment has surged. Dashboards have exploded. But, headcount and insights haven't. Dashboards have become swamps — disconnected slices of metrics that obscure how the business actually runs. Organizations need a model, not just more charts. Metric trees provide that missing structure — making analysis computable so insights flow automatically to decision-makers.
Metric trees are the missing layer to convert data into business strategy and operational excellence. Metric trees deliver:
• Alignment on what drives performance
• Automation of repetitive analysis work
• Accessibility of insights across teams
Integrates easily with the modern data stack
Trace augments existing BI/reporting tools with a powerful browser-based design and implementation of metric trees.
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