Unify education data, analytics, and AI with a governed foundation

Strategy Mosaic is a universal semantic layer. It gives school districts, colleges, universities, and education agencies 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 student-privacy requirements such as FERPA, though it does not replace your legal, compliance, risk, or control processes.

Yes. Many institutions begin with a high-value domain such as student progress monitoring, retention and graduation, financial aid, or enrollment planning. The governed foundation can then expand to additional campuses and departments without rebuilding the same metrics and policies.

Strategy unifies student records, HR, finance, admissions, and more in one governed platform, a single source of truth with access governed by department. That removes silos and aligns teams on shared metrics. Insights surface in tools teams already use, like email, web apps, or student systems, and departments such as student success, finance, and institutional research can build role-specific reports without waiting on IT.

Strategy gives education leaders real-time, AI-powered insights across academic progress, participation, and graduation rates, in dashboards built for educators, advisors, and administrators. Predictive models can flag students at risk using grades, attendance, financial aid, and engagement data, and alerts reach the tools teams already use, such as email, spreadsheets, and LMS platforms. That helps leaders demonstrate impact, allocate resources, and meet performance and funding goals.

Strategy makes data accessible from faculty to finance. Guided interactive dashboards tell data stories with filters and summaries, plain-language AI answers questions with suggestions and explanations in real time, and role-based pixel-perfect reports reach each department in the format and cadence it wants. No technical training is required.

Education enterprises use Strategy to deploy self-service analytics to thousands, or even hundreds of thousands, of users; unify KPIs from multiple systems in web and mobile apps, online or offline; automate thousands to tens of thousands of personalized, pixel-perfect report deliveries a day; move off legacy BI platforms as they sunset; support several analytics tools on one semantic layer with centralized governance; and power embedded or monetized data products.