SAN FRANCISCO, CALIFORNIA – 04/02/2026 – () – GoodData, an AI-powered analytics and decision intelligence platform, has launched a new AI-driven business intelligence modernization approach designed to help enterprises transition from legacy BI environments without disrupting daily reporting. This initiative addresses a longstanding challenge for large organizations: how to update analytics infrastructure while preserving the dashboards, metrics, and workflows the business already relies on.
At the core of GoodData’s strategy is the separation of business logic from presentation layers. By extracting and standardizing metric definitions into a governed semantic layer, organizations can immediately improve performance while laying the groundwork for advanced AI-driven analytics and automation.
Early results from teams adopting AI-driven BI modernization include significantly faster analytics delivery cycles, dashboards that load much more quickly due to the removal of redundant or inefficient calculations, and consistent metrics that can be reused across departments and tools. Equally important, standardized logic creates analytics environments where AI agents and automated systems can query with confidence.
The need for BI modernization has grown increasingly urgent as many enterprises struggle with fragmented analytics ecosystems. Over time, business logic often becomes scattered across dashboards, custom SQL queries, and spreadsheets—making systems costly to maintain and difficult to govern. As a result, organizations frequently face conflicting data, limited transparency, and growing resistance to change. This fragmentation not only slows decision-making but also undermines trust in analytics.
These challenges pose a major barrier to AI adoption. When metric definitions are inconsistent or embedded in individual BI tools, even basic questions become hard to answer reliably. Without clear, explainable logic, AI systems cannot generate trustworthy insights.
GoodData’s modernization strategy is built to avoid the risks and delays of large-scale BI replacements. Instead of forcing organizations to rebuild from scratch, the platform supports a phased transition that keeps existing dashboards operational while upgrading the underlying foundation. AI is used to extract business logic from legacy BI tools, identify broken or unused metrics, eliminate duplication, and refactor calculations before migration to a modern environment.
“Enterprises want to modernize without putting decision-making on hold,” said Roman Stanek, CEO and Founder of GoodData. “They need a way to move faster while staying confident in the numbers their teams depend on. By using AI to surface and fix hidden complexity, GoodData enables modernization that delivers value early and reduces long-term risk.”
GoodData’s AI-driven BI modernization process includes extracting calculations, joins, filters, and metric definitions independently of dashboards; standardizing and cleaning logic to reduce technical debt; and organizing definitions within a governed semantic layer built on a medallion architecture with full data lineage. Business logic is then deployed as analytics-as-code—converted into version-controlled YAML files that support testing, reviews, and rapid rollbacks.
As enterprises shift from dashboard-centric reporting to AI-assisted decision-making and autonomous agents, consistency and governance become critical. GoodData’s approach creates a single, trusted layer of business logic that supports traditional reporting, embedded analytics, and AI-powered experiences from the same foundation. The result is faster analytics development, greater confidence in data, and a scalable path to AI-ready decision intelligence.
About GoodData
GoodData is an AI-native decision intelligence platform designed to help enterprises turn trusted data into confident action. Built for governed, scalable analytics, GoodData enables organizations to operationalize insights, automate decisions, and embed intelligence directly into products and business workflows. With a composable architecture and a governed semantic layer at its core, GoodData ensures AI-powered analytics remain transparent, auditable, and aligned with enterprise data definitions. More than 140,000 organizations and 3.2 million users worldwide rely on GoodData to bridge the gap between data and decision-making.