Using the AtScale semantic layer, organizations can democratize data access and modernize business intelligence with an enterprise metrics store that puts analysis-ready data in the hands of analysts and decision makers.
Building Your Enterprise Metrics Store with a Metrics Layer
Create trust in data and foster a culture of self-service with a single source of governed analytics.
What is a Metrics Layer?
A metrics layer is a centralized repository that holds key business metrics and definitions. This layer “sits” between BI tools, the computation layer, and data storage – wrapping these spaces with semantic information. It’s a source of truth for any and all data analysis throughout the enterprise.
Powerful Metrics Design
AtScale includes a powerful metrics design utility that supports both code-based and visual data modeling. Data teams can collaborate closely with business users on defining metrics, analysis dimensions, and data hierarchies to support sophisticated business intelligence use cases.
With the ability to quickly define business metrics, teams stay current with new data sources and responsive to requests for new data views.
Simplify Data Pipelines
AtScale builds metrics using a powerful query virtualization platform, meaning data is not physically moved in order to make metrics available for consumption. Once a metric is published, the data pipeline is automatically defined.
AtScale dynamically generates queries against source data using these pre-defined metrics, simplifying analytics pipelines while mitigating disruption caused by changes to underlying data.
Choose your BI Platform
Enable a metrics layer based on the AtScale semantic layer platform using the BI tool of your choice, including Power BI, Tableau, Looker, Excel, and Jupyter Notebooks.
