Integrating SAS with Microsoft Azure

Many organisations rely on SAS as a trusted engine for analytics, reporting and modelling. At the same time, business users increasingly expect the modern flexibility of Microsoft Fabric and Azure Databricks. They want interactive dashboards, faster access to insights and a unified view across teams. This creates a gap between what the organisation already depends on and what the business now requires.

By integrating SAS with Microsoft’s cloud ecosystem, organisations gain the best of both worlds: a governed analytics engine on one side and a streamlined approach that minimises migration investment and accelerates change adoption on the other.

SAS remains a powerful platform for processing and modelling, yet it was not built for today’s expectations around real time insights, cloud scalability and self service analytics. As a result, organisations end up switching between a central data warehouse (SAS DI) and end-user compute (SAS EG), manually exporting data and recreating reports. This leads to inconsistent versions, slow refresh cycles and a clear divide between technical teams and business users.

The challenge is not choosing one platform over the other. It is creating a landscape where they reinforce each other.

LACO helps organisations build a seamless bridge between SAS, Databricks and Microsoft Fabric.

• The journey begins with a thorough scan of the existing SAS environment to understand dependencies, data sources and reporting processes.
• Once there is clarity, we design an hybrid architecture where SAS outputs land securely and automatically in Databricks and Microsoft Fabric as certified datasets. These datasets follow shared governance and metadata principles so that access rules, terminology and lineage remain consistent across platforms.
• We then automate the data flows to ensure that business users always work with up to date information. Manual exports disappear and data refreshes run on predictable schedules. Throughout this process, analysts and business users receive practical training so they can explore SAS outputs in Power BI with confidence.

The (gradual) transition becomes smooth, governed and supported by clear communication.

The organisation gains one connected data landscape instead of two separate tools.

SAS continues to provide the analytical strength and validated outputs that teams rely on, while Power BI and Synapse deliver the flexibility and speed business users expect. Duplicate work disappears because data is prepared once and reused across the entire ecosystem. Reports refresh faster, users adopt the new environment more easily and IT teams spend far less time supporting manual tasks.

Most importantly, insights become both governed and accessible. Business users explore information in real time without recreating models or manipulating data manually, and leadership gains a trusted, consistent and audit ready view of the organisation. By connecting SAS with Microsoft’s cloud platform organisations modernise without replacing what still works and create a future ready foundation for analytics, AI and decision making.