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Holistics is differentiated by three key pillars — purpose-built to make analytics maintainable, self-serve, and natural to consume.
Bring DevOps practices to BI.
Data transformation tools and self-service BI often fall short in developer experience and robust metric modeling, leading to maintenance and reusability issues.
A metric-centric analytics language.
AMQL provides a higher-level abstraction for defining metrics independently from data tables, unlocking a self-serve experience that maps to how people actually think.
Closer to business users’ mental models
People think about metrics, not dimensions and measures. AMQL powers a self-serve interface aligned with how end-users naturally ask business questions.
Empowers self-serve analytics
End-user interactions are translated into intermediary metric-centric queries before compiling into SQL.
Simplifies complex SQL
Advanced analytics becomes more accessible, aligned with the business-user mindset.
Canvas-based analytics presentation.
Traditional dashboards don’t match how end-users think — a linear flow that isn’t natural to humans, and that fails to provide enough business context.
A canvas-based presentation engine that lets analysts and business users consume and explore data in a form that’s closer to the natural human thinking process.