Strategy @MicroStrategy

The distinction between metrics layer and semantic layer matters more than ever as organizations bring AI into analytics. Without business context, AI can generate technically valid queries that still produce inconsistent or misleading results. In this blog, Strategy breaks down the difference between a metrics layer and a universal semantic layer and where a universal semantic layer fits alongside existing platform-native metrics layers. Read the blog: ow.ly/seqP50ZlEOL #EnterpriseAI #SemanticLayer #AIAgents #DataGovernance #StrategyMosaic

The June 2026 Mosaic update brings more governance, visibility, and control to enterprise AI: ⚡ Build faster with governed self-service modeling ⚡ Optimize costs with Sentinel intelligence ⚡ Connect AI agents to trusted analytics ⚡ Access Workstation directly in your browser Watch now to see what's new: ow.ly/ZmTM50ZlJEP #StrategyMosaic #EnterpriseAI #SemanticLayer

AI agents are only as good as the context they receive. Join Kaitlin Qreitem on July 16 at 12:00 PM EST or Johannes Silhan on July 16 at 10:00 AM BST / 11:00 AM CEST for a live demo of Strategy Mosaic and see how a semantic model gives AI the context it needs to produce consistent, governed answers. Register here: ow.ly/Be9J50ZlEF1 #EnterpriseAI #SemanticLayer #AIAgents #DataGovernance #StrategyMosaic

We’re headed to NACUBO 2026! NACUBO 2026 brings together higher ed's financial and administrative leaders at a critical time. Tightening budgets, shifting federal compliance, and fragmented data across student, HR, and finance systems, making institutional health hard to see clearly. We're heading to Anaheim this July to show how Strategy Mosaic centralizes business logic once so every tool, AI agent, and user works from the same governed, trusted metrics. Attending NACUBO 2026? Find us at Booth #218. 📍 Anaheim Convention Center, Anaheim, CA 📅 July 18–21, 2026 🔗 Learn more here: ow.ly/jtAV50ZlEvv #NACUBO #SemanticLayer #StrategyMosaic #DataGovernance

A new report by Forrester Research, Make Data AI Ready Via Semantic Layer Platforms, breaks down what that shift means in practice, including why your data estate needs an independent semantic control plane above your LLMs, warehouses, and BI tools. Read the full Forrester report, courtesy of Strategy: ow.ly/mGo950ZlG0R #EnterpriseAI #SemanticLayer #DataGovernance #AI #StrategyMosaic

Our recent blog post explores why a semantic layer is essential. It turns governance into runtime enforcement, keeps metrics consistent, AI outputs explainable, and business context intact across every tool and agent. Read the blog to learn why data governance and the semantic layer work best together: ow.ly/XTX150Zl8iU #EnterpriseAI #SemanticLayer #DataGovernance #AI

Join Devon Plopper and Juliana Schoettler for a discussion on why the semantic layer has moved from a BI architecture component to a critical foundation for enterprise AI. If you're planning for agentic AI, the most important decision may not be which model you choose, but what context you give it. Last chance to register now: ow.ly/i7Sy50ZcM2j #EnterpriseAI #SemanticLayer #DataGovernance #AgenticAI #StrategyMosaic

For Lotte Department Store, one of the largest retail chains in South Korea and Southeast Asia, the challenge wasn't a lack of data. It was making trusted insights accessible to everyone, regardless of technical expertise. By deploying Strategy AI Agents on a governed data foundation, Lotte enabled employees to interact with data using natural language while ensuring responses remained consistent, accurate, and grounded in business context. Read the full customer story here: ow.ly/YxUW50ZcMbw #CustomerStory #RetailAnalytics #EnterpriseAI #AIAgents #StrategyMosaic

💡 Everyone wants trusted AI. It starts with trusted business context. One of the most talked-about topics in data today is the semantic layer, but what is it, and why does it matter? Our new FREE self‑paced Semantic Layer Foundations course is a conceptual deep dive into what the semantic layer really is, why it matters, and how it solves the “which revenue number is right?” problem once and for all. In this course, you’ll explore: → Why metrics end up conflicting across dashboards and teams → What a semantic layer actually is (and isn’t) in plain language → How a shared semantic layer becomes the trusted source of truth for people and AI → How these concepts are embodied in Mosaic, Strategy's universal semantic layer built for real‑world analytics Using Mosaic as a real-world example, you'll gain the knowledge and vocabulary needed to lead semantic layer conversations with greater clarity and confidence across both business and technical teams. Enroll for FREE today: software.strategy.com/education #SemanticLayer #DataStrategy #EnterpriseAI #DataGovernance #BusinessIntelligence

AI agents fail when they have no business context. They don't know what terms mean what to your company or which rules govern your data. So they confidently guess and leave you with the consequences if the mistake isn't caught. Join Kaitlin Qreitem on July 16th @ 12:00PM EST or Johannes Silhan on July 16th @ 10:00AM BST for a live session where they build a semantic model from scratch and show what changes when an AI agent works from governed business context instead of raw schema. No SQL required; if you can think in business terms, you can build one! They'll be covering: 🔹 What a semantic model actually is and how Mosaic encodes business logic once so every AI agent, dashboard, and tool reads from the same definitions 🔹 How to connect an AI agent to Mosaic via MCP; the same questions answered against raw schema vs. a governed model, side by side 🔹 What consistency really looks like: same question, same answer, every time 🔹 How to build it yourself in Mosaic Studio visually and without writing a line of SQL You'll walk away knowing exactly why AI gets numbers wrong and what it takes to fix it. If AI is part of your data strategy, this session belongs on your calendar! Register now: software.strategy.com/webinar/live-d… #EnterpriseAI #SemanticLayer #AIAgents #DataGovernance #StrategyMosaic

Your AI doesn't need more tokens. It needs context. Every AI analytics query carries a hidden cost. To generate SQL, an LLM must receive your full database schema, every table, column, and relationship, before it can answer anything. On a 28-table schema, that's 4,428 tokens before any analysis starts. On a production schema of 100-500+ tables, it can reach 100,000+ tokens per query. Some stats on what happens when Strategy sits between the AI and the data: → Mosaic MCP: schema context drops 53%. Per-query cost drops 37%. → Strategy AI Agents: removes the LLM from query generation entirely. Token usage drops ~98%. → Accuracy: Mosaic answered 17/17 benchmark questions correctly. Direct text-to-SQL: 15/17. The result: your AI costs less and answers better because it has the right context. Read the full benchmark: software.strategy.com/blog/your-ai-d… #EnterpriseAI #SemanticLayer #Analytics #AI

In one of our latest blogs, Strategy explores why the semantic layer is evolving into something bigger: context infrastructure for AI. As organizations move from dashboards to autonomous AI agents, the conversation shifts from "Which model should we use?" to "What context is that model operating on?" Read the full blog now: ow.ly/W4HF50Zco5n #EnterpriseAI #SemanticLayer #DataGovernance #AIAgents

Join Devon Plopper and Juliana Schoettler for a webinar exploring why the semantic layer has become one of the most important foundations for enterprise AI, and how organizations can create a governed, vendor-neutral layer that supports both BI and AI. Register now: ow.ly/XKf350Zcoei #EnterpriseAI #SemanticLayer #AIAgents #DataGovernance #StrategyMosaic

Enova International had built a sophisticated BI environment, but teams across Finance, Operations, and Marketing often viewed performance through different filters and reporting lenses. To solve this, Enova used Strategy to create an automated monitoring framework that proactively identifies anomalies and alerts teams when action is needed. Read the full customer story here: ow.ly/51YK50ZcnZv #CustomerStory #EnterpriseAI #DataAnalytics #BusinessIntelligence #StrategyMosaic

In one of our recent blogs, Strategy explores why purpose should come before platforms, why faster execution isn't the same as transformation, and why the most important AI question may have nothing to do with AI at all. Read the full blog here: ow.ly/GsiB50ZcnOg #EnterpriseAI #Leadership #DigitalTransformation #SemanticLayer #FutureOfWork

Join Sophie Da Silva, Education Delivery Manager at Strategy, for a practical webinar on designing dashboards that engage users, surface the right insights, and drive action. Whether you're building dashboards for executives, analysts, or business users, these practical strategies can help turn data into decisions. Last chance to register now: ow.ly/h2Tn50ZcnS1 #DashboardDesign #UserExperience #DataVisualization #BusinessIntelligence #Analytics

A semantic layer should do more than define trusted metrics. It should help organizations understand analytics costs, govern AI access, and model the business the way it actually operates. That's the focus of our June 2026 product update. Highlights include: → AI-powered cost intelligence for Snowflake and Databricks environments, helping teams identify cost drivers and optimization opportunities → Expanded MCP support that extends governed business context to AI applications through existing analytical assets → New modeling capabilities, including flexible joins and custom calendars, that better reflect real-world business operations Read the full June 2026 product update: ow.ly/X59C50Zg3B1 #EnterpriseAI #SemanticLayer #DataStrategy #BusinessIntelligence #DataGovernance

Our latest benchmark put Strategy Mosaic head-to-head against direct text-to-SQL querying across 17 insurance analytics questions on a real-world, 28-table data model. The results include 100% accuracy with Mosaic (17/17 questions answered correctly) and no wrong answers on complex multi-table analytics queries A semantic layer helps AI deliver trusted answers while reducing the cost of enterprise-scale analytics. Read the full benchmark now: ow.ly/6yHQ50ZcnAZ #EnterpriseAI #SemanticLayer #AIAgents #DataAnalytics #StrategyMosaic

More than a decade ago, 18 manufacturing plants operated with disconnected reports, inconsistent business logic, and multiple versions of the truth. Today, Keurig Dr Pepper runs on a unified analytics foundation powered by Strategy. As Keurig Dr Pepper expands its analytics ecosystem with Mosaic, the company continues to build toward a single source of truth across BI, AI, and planning data. Read the full story here: ow.ly/Xh3b50Zcnwa #CustomerStory #StrategyMosaic #SemanticLayer #DataAnalytics #EnterpriseAI

Join Sophie Da Silva, Education Delivery Manager at Strategy, to learn how to create dashboards that are both visually compelling and purpose-built for decision-making. Whether you're a dashboard designer, BI developer, analyst, or business user, this session will provide practical techniques you can apply immediately. Register now 👉 ow.ly/A49E50Z7s6n #DashboardDesign #DataVisualization #UserExperience #BusinessIntelligence #Analytics