It’s easy to get overwhelmed by an onslaught of customer data. With so many data points, organizations need to find and effectively utilize the insights that help them better serve their customers.

AI has only increased the stakes, creating more pressure to develop delightful customer experiences, build operational efficiencies and surface meaningful insights.

That’s why Microsoft announced Microsoft Fabric in May 2023 at their developer conference, Build. As a unified analytics solution, the platform brings together existing technology including Microsoft Azure Data Factory, Azure Synapse Analytics, and Microsoft Power BI. Now generally available, it’s made analytics more accessible to business and data professionals as they collaborate toward business success.

As a Microsoft partner, we’ve been watching the news closely and are excited to announce an expanded integration at Ignite that brings SAS® Decision Builder to Microsoft Fabric. Together, we empower customers to act upon their analytics by providing complementary technology that drives better and more confident decisions at scale.

Let’s explore several benefits that SAS Decision Builder will bring to Fabric.

Business rules management

Turning data into decisions means creating business rules to define criteria, whether it’s identifying a minimum credit score, maximum marketing touchpoints, or manufacturing quality score. SAS Decision Builder provides a rule engine that allows users to define and manage business rules, integrating with machine learning models and providing a unified decision-making framework that accounts for data-driven and rule-based approaches.

Increased trust

Change is the only constant in business as consumer tastes evolve and economic winds shift. Organizations must adapt and create transparency in their decision-making to remain competitive.

SAS Decision Builder increases trust in understanding how data can be used for decision-making to help drive decisions through traceability and explainability. Users can follow the flow of data through business rules, conditional branching and models while also understanding its meaning to improve accuracy, effectiveness, and governance.

Business orchestration of models

Decision flows support more than just business rules within the business logic. SAS Decision Builder can help, standardizing how predictions from models are used to make decisions. Branching and conditions are also available, allowing users to leverage different models across segments, composite AI by orchestrated multiple models, and even run A/B test across models to get the best result. Furthermore, business orchestration of models from Azure Machine Learning can be automated in Microsoft Fabric on SAS Decision Builder, further reducing friction in surfacing decisions.

Learn more about SAS Decision Builder and Microsoft Fabric

In today’s world, those who find a way to manage the high volume of information will be the ones that win. We are excited to embark on this analytics journey with Microsoft and help customers take their analytics to action with our SAS Decision Builder integration. Check out the following links to learn more.


About Author

Albert Qian

Product Marketing Manager

Albert Qian is a Product Marketing Manager focused on technology partnerships at SAS Institute, focusing on the value of integration for uncovering business insights and decision-making. Located in Silicon Valley, Albert has been around technology his entire life and enjoys telling the story of its transformative power in all aspects of life.

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