Trace reads from your data platform, and operationalizes "metric trees" to empower consumers across data, business and executive teams
Modeling the business inputs and outputs via metric trees, Trace streamlines strategic and operational analytics for data consumers
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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Metric trees map the business KPIs to input drivers and granular segments. The closest analogy to today’s “BI" world is to think of them as connecting elements within and across dashboards via underlying business models - that is, metrics and segmentation, or metrics across various dashboards are linked to reflect the business processes and models.
Start with a high-level output KPI and then break it down layer by layer into granular inputs. For example, revenue can be decomposed into “orders”, “items per order”, “units per item” and “price per unit” and further into "new" vs "expansion" terms.
Organizations are making huge investments into data without realizing the ROI on the other end. They find themselves creating dashboard swamps - chopping up metrics into pieces losing sight of the underlying business processes and user needs. This manifests in slow time to insights, long queues or large data servicing teams, weak business self-service and an organization parched for clear operating insights. Teams feel disconnected from their business impact despite sitting on a "lot of data".
Metric trees are the missing layer to convert data into business strategy and operational excellence.
1) The C-suite gains clarity and alignment of the org-wide input levers and how they impact outcomes.
2) Analysts save enormous time executing deep dives as software does the heavy calculation lift.
3) Business leads enjoy rapid, granular insights, not a swamp of disconnected swamp of dashboards.
Trace augments existing BI/reporting tools with a powerful browser-based design and implementation of metric trees.