For Architects
Deliver data intelligence on a unified architecture
Move beyond dashboards and give users answers, guidance, and actions directly inside your app, analytics and workflows.
AI is changing workflows, fast
Users want tools that interpret, summarize, and recommend, not just visualize. They seek answers, not interfaces, expecting software to clarify events and suggest next steps.
Data lacks the structure for AI to understand or act on
Users want tools that interpret, summarize, and recommend, not just visualize. They seek answers, not interfaces, expecting software to clarify events and suggest next steps.
Speed up delivery and operations with AI and Analytics as code
Centralized definitions and CI/CD automation speed up analytics development, cutting reporting build times by 99%.
Let AI refactors your metrics
Our AI assistant analyzes and consolidates metrics into clean, reusable definitions removing duplication and hidden logic.
Automate, version and reuse analytics as code
Build and run analytics end-to-end with MCP-AI automation, defining datasets, metrics, and dashboards as code.
Data Integration & Analytics Lake
Connect any data source and analyze it at speed
Data is consumed by the AI Lake, which uses open formats like Apache Arrow for high-performance analysis.
- Connect to structured data on-prem or cloud SQL Server EDW and other Azure SQL data stores.
- Ingest real-time and non-traditional sources: SQL, NoSQL, APIs, and ML outputs both on prem or cloud
- Accelerate queries with caching and pushdown to minimize latency while keeping data at the source.
Governance
One source of truth for every metric across teams and tools
The Semantic Layer enforces consistent business logic, so metrics stay accurate, auditable, and reusable everywhere.
- MAQL defines consistent business logic, enabling reusable calculations in a star-schema model.
- Seamless integration with glossaries via open semantic layer API, enabling tools to fetch metric definitions for cataloging and verification.
- SOC 2, GDPR, and optional self-hosting
Consumption layer and access channels
Deliver insights everywhere your users work
Provides omni-channel delivery on dashboards, apps, spreadsheets, and AI assistants, all powered by the same governed metrics.
- Embed and white-label dashboards, agents, and apps
- Allow users to ask natural-language questions with conversational AI
- Pull governed metrics directly into Excel or Google Sheets via APIs or connectors
- Query unified metrics storage via APIs or ODBC/JDBC connectors
Scale analytics for teams and clients
GoodData isolated data by workspace or tenant while deploying a shared master metric catalog. This ensures KPIs are calculated the same way across business units and client environments.
Control analytics like software
Analytics artifacts can be stored in Git for peer reviews and audit trails. Changes can be promoted to production through automated CI/CD pipelines, ensuring agility and quality across deployments.
