Stibo Systems has launched Orion, an enterprise data platform built on Microsoft Fabric, aiming to bring governance and consistency to business KPIs for AI-driven decision-making. Announced on June 9, 2026, Orion marks a significant milestone in Stibo’s push to merge master data management (MDM) with modern analytics and artificial intelligence. The platform leverages Microsoft Purview for data governance and Power BI for KPI visualization, promising a unified view of enterprise data across silos.

The move underscores a growing trend: as companies race to adopt AI, the underlying data must be trusted, governed, and easily consumable. Orion directly addresses that need by consolidating data from disparate sources—ERP systems, CRM platforms, supply chain databases—and applying MDM rigor to ensure a single version of truth. For organizations still wrestling with fragmented data landscapes, this could be a blueprint for how to operationalize AI at scale without sacrificing control.

Why Microsoft Fabric?

Microsoft Fabric, launched in 2023 as an all-in-one analytics platform, has rapidly matured into an enterprise-grade data foundation. It integrates tools like Data Factory, Synapse, and Power BI into a unified software-as-a-service (SaaS) offering. Stibo’s choice of Fabric signals confidence in the platform’s ability to handle complex, multi-domain data workloads while maintaining performance and security.

Fabric’s lake-centric architecture allows Orion to ingest raw data from any source—structured or unstructured—and layer on Stibo’s MDM capabilities. The result is a governed data lakehouse that supports both real-time operational reporting and advanced AI model training. “We needed a cloud-native backbone that could scale with our customers’ ambitions,” a Stibo executive said during the announcement. “Fabric’s integration with Purview and Power BI made it the obvious foundation.”

Governance at the Core with Microsoft Purview

Data governance often becomes an afterthought in AI projects, leading to issues like bias, inaccuracy, and regulatory non-compliance. Orion tackles this head-on by embedding Microsoft Purview throughout the data lifecycle. Purview automates classification, sensitivity labeling, and lineage tracking, giving data stewards full visibility into where data comes from and how it’s transformed.

For Stibo’s enterprise clients—many in retail, manufacturing, and automotive—this means KPI definitions are not just visually consistent in Power BI dashboards but also auditable at the source. If a revenue metric suddenly spikes, a business analyst can trace it back through the pipeline to the original transactional record, verify its quality against MDM rules, and confirm compliance with internal policies. That level of traceability is critical when AI models make recommendations that affect pricing, inventory, or customer experiences.

Power BI: The KPI Layer That Speaks Business

Orion’s front end relies on Power BI to surface governed KPIs. Rather than relying on fragmented reports, business users interact with a centralized set of metrics that carry the same meaning across departments. Sales teams see revenue the same way finance does; supply chain metrics align with procurement dashboards. This consistency is enabled by Stibo’s MDM engine, which cleanses and harmonizes data before it hits the semantic model in Power BI.

Pre-built KPI templates accelerate implementation. Customers can map their own data to Orion’s library of industry-specific metrics—such as customer lifetime value, inventory turnover, or supplier quality scores—and immediately visualize trends. The tight coupling with Purview ensures that any change to a KPI definition is automatically documented and propagated, eliminating the “spreadsheet sprawl” that plagues many enterprises.

Breaking Down Data Silos for Enterprise AI

The real payoff, according to Stibo, is in preparing data for AI. Large language models and predictive algorithms demand high-quality, curated datasets. Orion’s MDM layer normalizes product, customer, and location data so that AI models are not fed conflicting information. For example, a retailer using AI to forecast demand needs accurate product hierarchy data; if a single item is listed under three different categories in three different warehouses, the model will produce garbage. Orion solves that by mastering the data once and distributing it consistently.

Furthermore, the platform supports common AI frameworks through Fabric’s native integration with Azure Machine Learning and Synapse Data Science. This allows data scientists to access governed data directly from the Orion environment without needing to request extracts or build separate pipelines—a process that typically adds weeks to AI projects.

What This Means for the MDM Market

Stibo Systems, long known for its Multidomain MDM solution, has been steadily expanding into data fabric territory. Orion represents the next evolution: an intelligent data foundation where MDM is not a separate silo but woven into the analytics ecosystem. This aligns with Gartner’s concept of “active metadata” and “data fabric” architectures, where governance and management capabilities are automated across hybrid environments.

Competitors like Informatica and Reltio have also embraced cloud-native platforms, but Stibo’s explicit tie-up with Microsoft Fabric could give it an edge within the vast Azure customer base. “Orion on Fabric is a first-of-its-kind convergence of packaged MDM and SaaS analytics,” said an industry analyst briefed on the launch. “It could shorten the time-to-value for enterprises that have struggled with data quality in their AI initiatives.”

Real-World Use Cases and Early Adopters

While specific customers were not named at launch, Stibo indicated that several global retailers and manufacturers participated in the Orion early access program. One typical scenario: a consumer goods company with multiple acquisition-related ERP systems. Orion harmonizes product data across these systems, applies corporate taxonomies, and publishes certified KPIs to Power BI dashboards. Product managers can then see a single, governed view of SKU profitability and use that to feed AI-powered pricing optimization models.

Another use case involves master data-driven regulatory compliance. In industries like automotive, where recalls require pinpoint tracking of parts across a supply chain, Orion’s integration with Purview allows compliance officers to issue data lineage reports instantly, proving that the right data was used in every decision.

Balancing Speed with Control

A recurring tension in digital transformation is between IT’s need for governance and business users’ demand for agility. Orion attempts to resolve this by providing “governance by default” through Fabric and Purview while still allowing self-service analytics via Power BI. Row-level security, sensitivity labels, and approval workflows are automatically inherited from the MDM layer, so business teams can explore data freely without fear of breaking compliance rules.

This self-service model is critical for scaling AI. If every new analytics request requires a months-long IT project, AI adoption stalls. With Orion, once a data domain is mastered, entire departments can build their own reports and models on top of it—within guardrails.

The Road Ahead

Stibo plans to release quarterly updates to Orion, with upcoming features including native integration with Microsoft’s Copilot stack. The idea is that business users could ask natural-language questions like “What drove margin decline last quarter?” and receive answers backed by governed, certified KPIs. Early prototypes shown to press demonstrated AI-generated narratives within Power BI reports that cited data lineage from Purview.

There is also talk of extending Orion to support multi-cloud data sources. While currently optimized for Microsoft Fabric, Stibo acknowledges that many enterprises operate hybrid environments. Future versions may integrate with Azure Arc–enabled data services to pull in on-premises data, or even with competitive platforms like Snowflake via Fabric’s shortcuts.

For now, Orion stands as a compelling option for enterprises that have invested in the Microsoft ecosystem and are looking to turn their AI ambitions into a practical, governed reality. As one executive put it, “You can’t have responsible AI without responsible data. Orion is our answer to that fundamental challenge.”