GoodData Introduces AI-Driven BI Modernization to Accelerate Enterprise Analytics Transformation
SAN FRANCISCO, CALIFORNIA – 04/02/2026 – (SeaPRwire) – GoodData, an AI-powered analytics and decision intelligence platform, has unveiled a new AI-driven approach to business intelligence modernization designed to help enterprises move beyond aging BI environments without disrupting day-to-day reporting. The initiative addresses a longstanding challenge for large organizations: how to modernize analytics infrastructure while preserving the dashboards, metrics, and workflows the business already relies on.
At the core of GoodData’s approach is the separation of business logic from presentation layers. By extracting and standardizing metric definitions into a governed semantic layer, organizations can improve performance immediately while laying the groundwork for advanced AI-driven analytics and automation.
Early outcomes reported by teams adopting AI-driven BI modernization include significantly faster analytics delivery cycles, dashboards that load dramatically faster due to the removal of redundant or inefficient calculations, and consistent metrics that can be reused across departments and tools. Just as importantly, standardized logic creates analytics environments that AI agents and automated systems can query with confidence.
The need for BI modernization has become increasingly urgent as many enterprises struggle with fragmented analytics ecosystems. Over time, business logic is often scattered across dashboards, custom SQL queries, and spreadsheets, making systems costly to maintain and difficult to govern. As a result, organizations frequently encounter conflicting numbers, limited transparency, and growing resistance to change. This fragmentation not only slows decision-making but also undermines trust in analytics.
Such challenges pose a serious obstacle to AI adoption. When metric definitions are inconsistent or embedded deep within individual BI tools, even basic questions become hard to answer reliably. Without clear, explainable logic, AI systems cannot produce dependable insights.
GoodData’s modernization strategy is designed to avoid the risks and delays of large-scale BI replacements. Rather than forcing organizations to rebuild from scratch, the platform supports a phased transition that keeps existing dashboards operational while the underlying foundation is improved. AI is used to extract business logic from legacy BI tools, identify broken or unused metrics, eliminate duplication, and refactor calculations before they are migrated into 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.”
The AI-driven BI modernization process with GoodData 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 increasingly 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 can support 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 close the gap between data and decision-making.
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