Why Centralized Data Governance Fails
The old model of a single, monolithic data warehouse creates a vicious cycle of mistrust and inefficiency. It centralizes data — but not understanding — separating information from the people who know what it means. This approach leads to a familiar set of problems:
Multiple Versions of the Truth
Before any formal strategy is in place, teams naturally define the same KPIs in slightly different ways. Without shared meaning encoded and delivered in context, multiple versions of the truth emerge — forcing constant reconciliation and eroding trust.
The Central Bottleneck
To fix inconsistency, organizations centralize everything. But this creates a human bottleneck: every question, change, or clarification flows through a single team. Simple requests turn into weeks-long waits, slowing decisions and stalling progress.
Loss of Business Context
While the intent behind centralization is good, the handoff from domain teams is lossy. Critical institutional knowledge and subject-matter expertise don’t survive this game of telephone, leaving data disconnected from the context required to interpret it correctly.
The Inevitable Workaround
When centralized systems are slow or untrusted, users abandon them. Data gets exported into insecure spreadsheets and ad hoc tools, creating stale, siloed copies that amplify chaos instead of reducing it.
Our Solution: Empower Teams, Restore Trust
Credible replaces centralized governance with a federated approach built on shared meaning. Domain teams own and evolve their data, while governed semantic models ensure consistency, access control, and auditability.
Empower Your Experts
Credible enables the people closest to the data to own its lifecycle. Domain teams can model data, capture institutional knowledge, and evolve shared meaning as the business changes — without waiting on a central gatekeeper.
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Treat Data as a Product
Each semantic model becomes a discoverable, reliable data product — a clear contract for how data is defined and used. Managed with a software lifecycle, these data products can evolve safely without breaking downstream consumers.
Ensure Consistency and Security
Credible’s semantic layer provides a common framework that enables decentralized speed with centralized guarantees. Clear lineage, enforceable access policies, and a full audit trail ensure security and interoperability — without reintroducing a bottleneck.
The Pillars of Modern Governance
Our platform delivers on this philosophy through a set of core features designed to provide transparency, collaboration, and efficiency.
A Software Lifecycle for Your Data Products
Business logic is defined as code in Malloy — a readable, reusable language. Credible treats this logic like modern software, packaging it into versioned artifacts with full change history and auditability.
A Central Hub for Data Collaboration
Credible is built for teams, not silos. Its permission model supports the full data development lifecycle, allowing analysts, developers, and domain experts to collaborate safely on shared data assets.
Complete Visibility and Cost Optimization
Credible provides a control plane for your data ecosystem. Trace lineage from source to consumption and use built-in usage analytics to understand demand — so you can optimize performance and focus resources on the data products that matter most.
