For Business Leaders

Build the future
of AI-driven decisions

Transform your existing data into real-time clarity, foresight, and action.

Overcome your analytics limitations

Siloed and inconsistent metrics

Reports with complex DAX formulas can create silos, leading to inconsistent core KPI definitions.

Lack of transparency in calculations

Complex DAX measures can confuse users and reduce transparency in the calculation of key figures.

Manual and slow deployment

Updating metrics is slow and prone to errors, delaying timely insights due to lack of control.

Friction with AI integration

Current architecture hinders scorecard data integration with AI agents, limiting advanced analytics.

Unify your data with an AI-native analytics platform

GoodData unifies semantic context, supports agent-oriented workflows, and delivers insights through conversational and embedded channels.

Read more about our achitecture

Key business impacts and benefits

The platform provides end-to-end traceability from raw data to the final metric.

AI-Augmentation & Insight Generation

Executives can use natural language to query data.

User Adoption & Ease of Access

Simplify data access by embedding insights into Excel and Teams.

Improved Trust & Consistency

Boost confidence with usage logs, data lineage, and a unified metrics source.

Auditability

The AI assistant provides auditable outputs.

Explainability

"Analytics as Code" framework creates an immutable history of metric changes.

Secure and governed
by default

Security, lineage, permissions, and audits built into every insight.

Start with the business, not the plumbing

Start with a high-value business challenge

Pick the KPI, workflow, or revenue path that matters most.

Connect to your existing data stack

Snowflake, Databricks, AWS, Azure, GCP data stays where it is.

Create an AI-ready semantic layer in weeks

Metrics become explainable, governed, and reusable.

Deliver intelligence experiences immediately

Copilots, insights, and forecasts powered by your real data.

Expand outward project-by-project

No big-bang migrations, no unnecessary re-platforming, and no disruption.

Start building the future of AI-driven decisions.