Unify media data, analytics, and AI with a shared governed business context

Strategy Mosaic is a universal semantic layer. It gives broadcasters, streaming services, publishers, studios, and advertising teams a governed way to define and reuse business metrics, relationships, hierarchies, and access policies across data platforms, BI tools, applications, APIs, and AI agents.

A warehouse or lakehouse stores and processes data. Mosaic governs what that data means, how it should be calculated, which relationships are approved, and who is permitted to see each result. It works across your existing storage and cloud platforms rather than asking you to replace them. No. Mosaic can query data where it resides and operate within approved public-cloud, private-cloud, or customer-managed architectures. Deployment design depends on your data platforms, security requirements, and operating model.

Yes. Mosaic is built to sit above mixed data and analytics environments, so you can reuse governed business logic across major cloud, database, lakehouse, BI, application, and AI ecosystems. Mosaic keeps business logic independent from any single warehouse, BI tool, cloud, or model provider. You can modernize your technology stack while preserving the governed definitions that users and applications rely on.

Mosaic gives AI agents certified metrics, approved relationships, reusable query logic, and user-aware security context. That reduces how often a model has to infer business meaning directly from raw schemas, a common cause of text-to-SQL hallucinations: SQL that runs successfully but applies the wrong business rule. With governed context in place, you move closer to trusted AI, where the answer follows the approved definition.

Mosaic centralizes approved definitions, applies role and data-access controls, preserves lineage, validates query behavior, and shows you who accessed what. That supports AI data governance and audit readiness for regulations such as GDPR and CCPA covering viewer and subscriber data, though it does not replace your legal, compliance, risk, or control processes.

Yes. Many media companies begin with a high-value domain such as audience measurement, subscriber retention, advertising performance, or content investment. The governed foundation can then expand to adjacent brands and channels without rebuilding the same metrics and policies.

Strategy consolidates audience metrics, social media engagement, financial performance, ad analytics, and more from 100+ integrations into a single source of truth. It delivers pixel-perfect enterprise reports on demand or emailed at any cadence, plus AI-driven interactive dashboards that turn large datasets into confident decisions.

Strategy responds to natural language queries with insights and specific data points. AI-driven forecasts help you anticipate trends, the mobile version gives you live business data from anywhere, and key insights can appear in the web apps your team already uses.

Strategy blends AI and BI to understand patterns in your data. AI-powered analytics identify upsell, cross-sell, and personalized offering opportunities, the semantic graph connects business data to reveal new customer patterns, and real-time retention metrics help you respond quickly to issues affecting loyalty.

Strategy connects with Microsoft Outlook, Google Chrome, Facebook, Slack, Google Analytics, Marketo, Salesforce, LinkedIn, and many more, and gives you accurate, consistent, large-scale enterprise reporting that is ready to inform your business decisions.