Training Example: MicroStrategy – Review the Data, Give Your Score & Compare to the Real AI Evaluation

[H5] Strategy Mosaic is the Universal Semantic Layer for enterprise AI.
The governed data foundation your enterprise AI needs, already connected to Databricks, Snowflake , Google BigQuery, and the rest of your stack. One definition of every metric. Trusted by every model. Built for every team.See how Mosaic worksGet a custom ROI estimate
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[H3] Trusted by the world's most innovative companies
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Watch Customer Stories from World 2026
[H2] The 5 traps of enterprise AI and how to escape them
These aren’t new problems. They’re the same data governance failures enterprises have faced for 35 years, now running at AI speed. Strategy has watched this pattern repeat itself across thousands of deployments. The difference today is the stakes: your AI agents are making decisions  at scale, not just reporting on them. Mosaic was built to close these gaps at the infrastructure level.
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[H4] The context gap
When AI doesn’t know what your business means. AI doesn’t know that “churn” means something specific at your company. Without a semantic layer, they guess and sound confident while being wrong.Mosaic injects your business logic into every AI query before it runs. The model doesn’t just see your data; it understands what it means.
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[H4] The logic silo problem
Business rules your AI can’t reach. When metrics live inside BI tools and spreadsheets, AI agents can’t access them. Every agent reinvents the math inconsistently. Mosaic decouples logic from consumption. One semantic layer governs dashboards, agents, and applications simultaneously. Define once, apply everywhere.
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[H4] The accuracy trap
Why you can’t ask AI to do math. AI and large language models excel at language. They fail at aggregation. Asking one to calculate quarterly revenue is a reliable path to hallucinated numbers. Strategy handles the computation. AI handles the explanation. Accurate answers in natural language without the risk of a model doing math it wasn’t designed for.
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[H4] The security blindspot
What your AI agent can see that it shouldn’t. Most AI data tools bypass row-level security entirely. A model that can access your data can also summarize it for the wrong person. Every query through Mosaic passes through your existing RBAC rules before a single byte is fetched. Governed AI isn’t a setting. It’s the architecture.
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[H4] The cost trap
How ungoverned AI queries drain your cloud budget. AI agents that query raw data tables directly are expensive by design. Each iteration against millions of rows compounds your compute spend invisibly, until the bill arrives.Mosaic’s Smart Caching and push-down optimization routes every query intelligently. Your cloud costs reflect your decisions, not your agents’ inefficiency.
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[H4] Don’t be a statistic
Join the enterprises building their AI strategy on a governed, universal semantic layer.Learn more about Strategy Mosaic
[H2] Built for the entire organization
Mosaic delivers the unified data foundation needed to drive strategy, manage risk, and accelerate delivery across the organization.
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Build your AI-ready foundation
[H2] The platform your enterprise AI is built on
Strategy Mosaic is a universal semantic layer that unifies fragmented data systems into a consistent framework, enabling humans and AI agents to work from a single, synchronized source of truth.
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[H4] One governed layer for every system
Mosaic connects to 200+ data sources, cloud, on-prem, and hybrid, without moving a byte. Every agent and application draws from the same governed, trusted definitions. AI that starts on solid ground.
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[H4] From metric to action, in any interface
Because the semantic layer sits beneath every tool, the same governed logic powers dashboards, AI agents, conversational queries, and embedded applications. One truth. Every surface.
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[H4] Infrastructure-grade query efficiency
Mosaic’s push-down optimization and Smart Caching eliminate redundant processing at the source. The result is predictable cloud spend even as AI query volume scales.Explore Mosaic
[H2] What gets built when AI has a governed foundation
Strategy Mosaic is the semantic layer that enterprise teams deploy once and build on indefinitely. Here’s what becomes possible when your AI operates from a single, trusted source of truth. AI Agents with business context Deploy agents that understand your definitions of revenue, churn, and risk, not generic approximations. Built on Mosaic, agents use the same logic as your dashboards. Self-service analytics at enterprise scale Business users query governed data directly, in natural language or through dashboards, with no risk of conflicting metrics or unauthorized access. BI tool migration without logic loss Replace Power BI, BOBJ, or Cognos without rebuilding your metrics. Business logic migrates to Mosaic once then powers any BI tool you choose. Embedded analytics in any application Embed governed intelligence into your product, customer portal, or internal app. without exposing the underlying data model or rebuilding access controls.
[H2] The semantic layer that connects your entire data ecosystem
Strategy Mosaic sits beneath your existing stack, not on top of it. With 200+ native connectors to every major cloud, warehouse, and lakehouse, governed semantics deploy instantly across Databricks, Snowflake, Google BigQuery, Azure Synapse, and beyond. No migration. No lock-in. Your data stays where it is.
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[H2] Trusted by global leaders
FINANCIAL SERVICES · GOVERNED SEMANTIC LAYER How Fannie Mae eliminated logic redundancy across enterprise applications with a governed semantic layer."Strategy’s semantic layer and open architecture allow us to easily integrate data across applications. It means we don’t have redundancy of logic—we just use out-of-the-box REST APIs and can share our controlled, governed data with immense speed."Sheel Rantan, Manager of Software Engineering
Fannie MaeHEALTHCARE · 15,000 USERS · 27 MARKETS · 90% UTILIZATION "The value behind Strategy is that it’s all based on a governed semantic layer. Everything is integrated together, so everyone is singing from the same sheet of music. Ultimately, this enhances the user experience across our global salesforce.”Joe Simrany, Reporting Lead, US Primary Care
PfizerSee customer success stories
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[H2] Strategy Mosaic: See your data, unified
See exactly how Mosaic works with your stack:
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[H4] Stack-specific ROI estimate
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[H4] Technical integration plan
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[H4] Proof-of-value pilot
Request a demoGet your custom ROI analysis
[H2] FAQ
A universal semantic layer is the single source of truth for your organization's data definitions, ensuring that 'Revenue' means exactly the same thing whether it's calculated in Salesforce, analyzed in Tableau, or processed by your AI models. Sitting between your data sources and consumption tools, it translates raw data into trusted business concepts like 'Active Customer' or 'Margin' with identical calculations and values guaranteed across every team, every platform, and every use case.  Unlike semantic layers trapped inside individual BI tools or data warehouses, a universal semantic layer governs your entire data ecosystem, enforcing consistent definitions regardless of which cloud, database, or application asks the question. No more finance reporting different numbers than marketing. No more “Which dashboard is correct?”Strategy Mosaic is a universal semantic layer that connects to your organization's data sources: including Snowflake, Databrucks, BigQuery, Redshift, Azure, Synapse, SAP, Oracle, Salesforce, Workday, and on-premises databases, without moving or replicating a single byte. Once connected, Mosaic Studio uses AI-powered modeling to automatically generate attributes, hierarchies, and metrics from your data, delivering in hours what traditionally takes weeks of manual work. Those definitions are then enforced across every connected BI tool, AI agent, and application via SQL, DAX, MDX, and REST APIs: meaning Tableau, Power BI, Excel, and custom applications all work from the same governed definitions automatically. Meanwhile, Mosaic Sentinel monitors your data ecosystem in real time, logging every access event, flagging anomalies, detecting PII exposure, and maintaining a complete audit trail of who accessed what data, when.Your Business Logic, Protected Across Every Platform and Every Change: When your semantic layer is built into a single platform, your business definitions are only as portable as that vendor allows. Mosaic is a standalone, platform-agnostic layer that governs your definitions of Revenue, Margin, and Customer identically across every tool, every cloud, and every AI agent. And unlike newer semantic layer tools, Mosaic is backed by 35+ years of enterprise semantic technology, meaning it handles the complexity of real enterprise data: fiscal calendars, multi-currency hierarchies, time transformations, and security models that most tools are still building toward. Your logic is protected today, and it will still be intact when your infrastructure changes tomorrow. The Only Semantic Layer Built for Everyone, Not Just Engineers: Most semantic layers are built for data engineers and require SQL, YAML, or code to use. Mosaic Studio lets business users define new metrics in plain language, build and modify models without writing a single line of code, and govern data without filing a ticket. When business users can own their own definitions, your data team stops being a bottleneck and starts being a strategic asset. Governance That Scales as Fast as Your AI: As AI agents proliferate across your organization, the question isn't just "is my data accurate?" it's "Do I know what my AI accessed, at what cost, and whether it touched sensitive data?" Mosaic Sentinel answers all three in real time. It's the only semantic layer with governance intelligence built natively into the platform, not added on after the fact, giving you the confidence to scale AI without scaling risk.Snowflake and Databricks are exceptional data platforms. But their semantic layers are built to keep you inside their ecosystem. Definitions created there don't travel cleanly to Tableau, Power BI, or your AI agents without custom work.Mosaic sits above your data platforms as an independent layer. Your definitions of Revenue, Margin, and Customer are governed identically whether the query comes from a BI tool, an AI agent, or a Python notebook, regardless of which warehouse is underneath. When you migrate from Snowflake to Databricks, or run both simultaneously, your business logic stays exactly as it was. Nothing has to be rebuilt. That's the difference between a semantic layer built to serve a platform and one built to serve your organization.AtScale and dbt are capable tools, and they've made semantic layers more accessible. Where Mosaic differs is depth and governance. Mosaic is built on 35+ years of enterprise semantic technology, meaning it already handles what most semantic layer tools are still building toward: fiscal calendars, multi-currency hierarchies, time transformations, and complex enterprise security models proven across Fortune 500 deployments. And while most semantic layers focus on metric consistency, Mosaic adds Sentinel, a real-time governance layer that monitors every data access event, detects PII exposure, flags anomalies, and maintains a full audit trail across every user, agent, and application. That's not a bolt-on. It's native to the platform. For organizations scaling AI, that distinction matters. Metric consistency gets you started. Governance at scale keeps you compliant. Mosaic works with your existing stack, not against it. It sits above your data platforms and BI tools as an independent governance layer, connecting to your data where it already lives, without moving or replicating it. Once connected, you define your business metrics, hierarchies, and logic once inside Mosaic. From that point forward, every tool, application, team, and AI agent in your organization references those same governed definitions whether they're working in Power BI, Tableau, Excel, a Python notebook, or an AI agent. Your data stays where it is. Your definitions travel everywhere.No, Mosaic is designed to work with the tools you already have. Your data stays where it lives. Your teams keep using Power BI, Tableau, Excel, and Google Sheets. Mosaic sits above all of it as an independent governance layer, ensuring every tool gets the same trusted, governed definitions. If you choose to change a BI tool or migrate to a new data platform in the future, your metric definitions stay intact and your investment in business logic travels with you regardless of what changes underneath it.Yes, and this is one of Mosaic's core differentiators. Gartner projects that by 2028, 60% of agentic analytics projects relying solely on MCP without a semantic layer will fail. Mosaic is the semantic layer that makes AI reliable at enterprise scale.With Mosaic, AI agents, including those built on ChatGPT, Claude, Copilot, and Gemini, can query governed metrics directly through Mosaic's MCP server. Every consumer, human or machine, operates on the same certified metric definitions, security policies, and relationships. Mosaic provides the answers that you need, in the applications you choose, built on reliable data every time.Security is built into Mosaic's architecture at every level, not added on after the fact. Mosaic enforces row-level security filters, object-level access controls, and granular user privileges, ensuring every user only sees the data they are authorized to see, regardless of which tool they are using to access it. Security policies are defined once in Mosaic, and travel with the data across every connected application, BI tool, and AI agent.Mosaic Sentinel adds a real-time governance layer on top, detecting sensitive data access outside normal

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