Holistics is a self-service Business Intelligence (BI) platform designed to empower data teams with DevOps best practices, enabling reliable and easy-to-maintain analytics. It allows organizations to define analytics logic once and reuse it across multiple reports, ensuring data accuracy and consistency.
Key features include:
- Semantic Modeling Layer: Build a central repository for metrics and dimensions, ensuring consistent definitions and reusability across all reports.
- Analytics as-Code: Define data models, reports, and dashboards using a code-based language, integrating with Git for version control and enabling code reviews for robust BI system management.
- Canvas Dashboard: Create content-rich narrative reports by freely arranging visualizations, filters, and text on a blank canvas, making data consumption and exploration more intuitive for business users.
- Curated Datasets for Self-Service: Simplify data exploration for business users with pre-built datasets, allowing them to confidently achieve complex aggregation results without extensive technical knowledge.
- AI-Assisted Self-Service Analytics: Leverage Holistics AI to transform natural language questions into verifiable and governed business insights, providing full transparency into how insights are generated.
- dbt Integration: Deeply integrate with dbt to surface metadata to the BI layer, centralizing data documentation and providing a unified entry point for data consumers.
Holistics helps data teams reduce "request queue frustration" and empowers business users to self-serve data with confidence, applying software development best practices to analytics workflows.
