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A metrics store is, in the simplest words, a middle metric layer between upstream data warehouses/data sources and downstream business applications.
Unlike traditional BI reporting, metrics store decouples metrics definition from the BI reporting and visualizations. And the teams who own the metrics can define their metrics once in the metrics store, forming that single source of truth, and be able to consistently reuse the metrics across BI, automation tools, business workflows, or even advanced analytics.
Metrics and BI can be decoupled to create standalone metrics stores, the single source of truth.
Reuse flexibly across BI visualizations, SaaS integrations, and an API, opening up tons of new use cases that were not previously possible with BI reporting.
An extremely intuitive user interface to allow non-technical business users to define and analyze.
Metrics Access Democracy
A strong computation engine to back up metrics store to achieve the scalability of business metrics consuming.
A Top Commercial Bank in China has successfully rolled out a self-service metric platform — Pandora, to democratize data across the bank since December 2019.
Frustrating and Inefficient Data Analytics
An Easy, Smooth, and Time-Saving Workflow
Download our well-researched deck to learn more about the history and how of metrics store.
Learn about metrics store and how it can help enterprises achieve metrics reusability, consistency, self-service definition, and scalability.
Learn the ins and outs of the metrics store and how it can help enterprises achieve metrics consistency, reusability, self-service definition, and scalability.
Learn the evolution of cloud analytics, and how you can achieve performance, efficiency, scalability, and security for your data engineering and analytics workloads on the cloud.
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