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5 Ways Mosaic Is Transforming Data Management and Analytics

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Tanmay Ratanpal

July 7, 2025

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Strategy Mosaic is the world’s first Universal Intelligence Layer—turning the semantic layer into your data’s central nervous system, intelligently connecting everything, everywhere. From governed AI to consistent data logic, here’s how Mosaic redefines what a semantic layer can do. 

The Importance of Governed, AI-Ready Data

In today’s data landscape, 74% of organizations consider data quality to be critical or a high priority. Why? Because it powers data analytics, driving insights that modern enterprises need to stay competitive. 

Enterprises don’t just need insights—they need trusted, governed intelligence that’s adaptable, accessible, and AI-ready.  

Strategy’s latest innovation, Mosaic, introduces the world’s first Universal Intelligence Layer, transforming how organizations approach business intelligence by ensuring that data is clean, connected, and ready for AI. 

Here are six ways Mosaic is transforming BI across industries and architectures. 

1. Mosaic Delivers the World’s First Universal Intelligence Layer

Traditional BI stacks are often fragmented across tools, clouds, and teams. This creates data silos, which can cause misalignment and inconsistencies in reporting. 

Mosaic unifies every data source through a centralized universal semantic layer that models your business once and serves it to every application, from BI to AI and beyond. It delivers a single source of truth for every metric, report, and dashboard, delivering consistent, high-quality insights. 

2. Mosaic Ensures Scalability, Without Compromising Logic

Most BI-bound semantic layers are built inside the BI tool. Their logic, metrics, and definitions are not portable, and you lose them when you switch tools. Database-bound semantic layers are embedded in the data platform, so if you switch databases, you must rebuild your entire semantic logic from scratch. 

Mosaic’s Universal Intelligence Layer serves as a portable and scalable solution that models business logic and security in an independent layer. It cleanly separates business logic from both storage and consumption layers.

The result? Mosaic enables organizations to switch clouds, swap databases, or adopt new tools—without rewriting metrics or dashboards.

3. Mosaic’s Tri-Openness Means No Lock-In, Anywhere

Mosaic is developed with flexibility, portability, and data governance in mind.  
Therefore, it is open at every level: 

  • Cloud-open: Deploys on all major cloud hyperscalers, including AWS, Azure, GCP, and more 

  • Data-open: Connects to 200+ sources, including Snowflake, Databricks, Oracle, and others 

  • Tool-open: Integrates with BI and productivity tools, surfacing insights in Power BI, Tableau, Excel, Google Sheets, and beyond 

This tri-layer openness eliminates silos and bottlenecks—enabling smooth, secure access to governed insights across every platform, user, and workflow. 

4. Mosaic’s AI-Powered Modeling is 10x Faster

Building semantic models has traditionally been a time-consuming, manual process, requiring technical expertise to define joins, build hierarchies, clean up data, and assign business-friendly names to fields and metrics. Mosaic Studio changes that. 

Powered by GenAI, Mosaic Studio automates every foundational step of semantic modeling: 

  • Detects joins across tables with minimal input 

  • Builds hierarchies and relationships across attributes 

  • Cleans and preps data, identifying null values and formatting issues 

  • Auto-generates naming conventions and business definitions 

  • Creates descriptions that are human-readable and immediately usable 

What once took 10+ hours can now be completed in under an hour. With Mosaic, data teams can move faster, iterate more, and deliver governed data products at scale. 

5. Mosaic Delivers Governance by Design

AI is only as trustworthy as the data it consumes—and without strong governance, it’s a liability. Mosaic transforms AI governance into a core operational advantage. 

With Mosaic, governance isn’t layered on top—it’s built into the semantic layer itself. Mosaic applies row-level, column-level, and even feature-level security, giving you precise control over who can access what data, how, and when. 

  • Restrict access by role, geography, or department 

  • Mask sensitive fields like salary or social security numbers 

  • Limit visibility based on business function or project scope 

  

This granular control applies universally, whether data is being used by a BI analyst in Tableau or queried by an AI model via SQL. 

The result? AI that works with governed, compliant data by default, not as an afterthought. 

Mosaic: The Next Generation of BI & Data Analytics

As enterprise data landscapes grow more complex—and AI becomes a core driver of innovation—organizations need more than visibility. They need a foundation that’s open, governed, and future-ready. 

Mosaic delivers just that: a Universal Intelligence Layer that bridges platforms, clouds, and tools, while accelerating time to insight and keeping governance at the center. 

Whether you're modernizing your BI stack, preparing your data for AI, or eliminating silos between teams, Mosaic gives you the flexibility to adapt—and the power to scale.

Consistent Data. Deeper Insights. Faster Decisions.

Discover how Strategy Mosaic delivers flexibility and consistency across every platform, team, and workflow.

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Photo of Tanmay Ratanpal
Tanmay Ratanpal

A copywriter and brand strategist with 8+ years of experience turning ideas into compelling content. He blends sharp messaging with smart storytelling to build brands that connect, spark conversations, and (mostly) win your boss’s approval.


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