Manage your analytics workflow better with Analytics As-Code

Holistics lets you write code (DSL) to define your analytics logic, and check them into Git version control. This makes analytics process more maintainable and streamlined. Analytics development now feels just like software development.

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Define data logic using declarative DSL language

Define business logic, modelling and datasets using our custom DSL language for analytics.

Use familiar SQL for logic definition.

Define data logic using declarative DSL language

Version control with Git integration

Commit your analytics code to Git and track every change, perform branching, code reviews to ensure accurate analytics workflow.

Version control with Git integration

Build reusable analytics components

Turn common data logic into analytics "functions" that can be used for multiple use cases.

Build reusable analytics components

Enable Trusted No-code Self-service Analytics

Allow everyone to explore data with a drag-and-drop interface on top of the unified as-code data modeling layer.

Build interactive dashboards without code, share and schedule insights to your teams or partners via links, emails, Slack, etc.

Enable Trusted No-code Self-service Analytics

Benefits of As-Code Practices

Version control

All changes can be tracked, reviewed, and rolled back using Git.

Reusability

Reuse as-code components or templates across multiple projects.

Automation

Automate deployments through CI/CD pipelines.

Customization

Fine-grained control over every aspect of the dashboards.

Collaboration

Multiple members can collaborate simultaneously using standard development practices.

Dynamic

As-code dashboards can adapt to changing parameter inputs and dynamic environments.

Analytics Engineering

Applying software engineering best practices to Business Intelligence.