Unify technology data, analytics, and AI with a shared governed business context
Trusted context for every product, customer, and AI agent.
Strategy Mosaic, our universal semantic layer delivers reusable, auditable, and AI-ready metrics for your enterprise analytics. By centralizing business logic, access controls, and data governance, it allows every tool, team, and AI agent to speak the same language.
37% | → Lower estimated cost per query |
Up to 10x | → Faster data modeling |
200+ | → Connected data sources |
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How technology companies build a governed semantic foundation:
Audit existing business logic.
Document how important calculations, dimensions, hierarchies, and rules are defined across the organization. Flag conflicting definitions, duplicated logic, and areas where ownership is unclear.
Establish ownership and governance.
Assign clear owners to priority definitions and create a process for reviewing, approving, and updating them. Include rules for versioning and retiring definitions that are no longer valid.
Build and validate the semantic model
Model the approved definitions, relationships, hierarchies, metadata, and access rules in a shared semantic layer. Test the model against known outputs and common business questions before rolling it out more broadly.
Operationalize the governed model
Make the approved semantic layer available to the analytics, AI, and application workflows that need it. Monitor usage, validate changes, and keep the model current as products, teams, and business requirements evolve.
The result is a governed semantic foundation that gives analytics and AI a reliable source of business meaning.
One layer. Any LLM, any cloud, any database.
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Resource gallery
How does Strategy Mosaic support enterprise BI platforms with AI?
Strategy Mosaic provides governed business context that BI platforms, AI agents, and applications can use across the enterprise. Teams define metrics, business rules, relationships, and security once, then reuse that logic across analytics and AI experiences instead of rebuilding it in each tool.
How is Strategy Mosaic different from a data warehouse?
A data warehouse stores and processes data. Mosaic governs what that data means, including business definitions, metrics, relationships, and rules. It operates above existing data environments rather than requiring companies to replace their warehouse with another place to store data.
Does Strategy Mosaic require companies to move or consolidate their data?
No. Mosaic works with data where it already resides across existing databases, warehouses, and data lakes. Technology companies can add governed business context without making data migration or consolidation a prerequisite.
How does Strategy Mosaic make AI-generated analytics more reliable?
Mosaic gives AI governed business definitions instead of requiring the model to infer business logic from raw data. The LLM handles the natural-language request, while Mosaic generates the query through a deterministic SQL engine outside the LLM, reducing inconsistency caused by AI-generated business logic.
Can Strategy Mosaic work across different BI tools, AI models, clouds, and databases?
Yes. Mosaic separates business logic from the technologies underneath and above it. Companies can change LLMs, cloud environments, databases, data lakes, or consuming tools while keeping their governed business logic consistent.
How does Strategy Mosaic govern data access across BI and AI?
Mosaic centralizes business logic and governance so security policies can be applied consistently across connected analytics and AI experiences. Its semantic layer can incorporate access controls, user privileges, groups, roles, and security rules rather than leaving each consuming tool to recreate governance independently.
How can Strategy Mosaic reduce the cost of enterprise analytics and AI?
Mosaic reduces unnecessary work across both AI and data infrastructure. Predefined business logic reduces the context AI needs to process, Mosaic-generated SQL can simplify queries, and caching can prevent repeated requests from continually hitting the underlying warehouse or data lake.
How can Strategy unify scattered, incomplete, or inconsistent data?
Strategy connects more than 200 data sources, including legacy systems, cloud platforms, and third-party tools, into one governed semantic layer. Every team then works from the same consistent, lineage-tracked data without manual cleanup or reconciliation. AI-powered natural language query and dashboards let anyone explore metrics and spot trends without waiting for a data team to pull the data.
How does Strategy reduce data leak and compliance risks?
Strategy's cloud-native architecture meets enterprise security standards including ISO 27001, SOC 2 Type II, PCI DSS, and HIPAA. AI-powered anomaly detection adds to role-based access control to help prevent breaches. Centralized governance and multi-tenant deployment on AWS, Azure, Google Cloud, or STACKIT let teams isolate, manage, and audit data by region.
How can teams get reports and answers without waiting on analysts?
Strategy gives every team self-service analytics with built-in AI. Anyone can ask questions in plain English, drill into metrics, and generate visuals without SQL, while GenAI-powered dashboards make layered data easier to read. Pixel-perfect reports can be delivered at whatever cadence you need.