SAS Decision Builder,a cloud-based decision intelligence solution,is now generally available on Microsoft Fabric,enabling customers to deliver AI-powered insights and actions using enterprise data stored within Microsoft Fabric.

SAS, a global leader in data and AI, announced the general availability of SAS^® Decision Builder on Microsoft Fabric. The solution brings SAS’ smart decisioning capabilities to Fabric customers, allowing them to combine AI models, rules, and procedural logic into composite AI workflows for scalable collaboration.

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SAS Decision Builder and Microsoft Fabric: A Powerful Integration for Modern Decisioning

Organizations are increasingly seeking ways to modernize their decisioning processes, leveraging the power of cloud technologies and advanced analytics. The integration of SAS Decision Builder with Microsoft Fabric offers a compelling solution, combining SAS’s robust decisioning capabilities with Fabric’s unified data analytics platform. This synergy enables businesses to build, deploy, and manage sophisticated decision strategies at scale, all within a secure and collaborative surroundings.

understanding the Core Components

SAS Decision Builder

SAS Decision Builder is a low-code/no-code decisioning platform designed to empower business users to automate and optimize complex decisions. It allows for the creation of decision flows, incorporating techniques like machine learning, business rules, and optimization algorithms. Key features include visual modeling, real-time decision execution, and comprehensive analytics for monitoring and improving decision performance. Learn more about SAS decision Builder’s capabilities.

Microsoft Fabric

microsoft Fabric is an end-to-end analytics platform that unifies data engineering,data science,business intelligence,and real-time analytics. It provides a single platform for organizations to ingest, transform, analyze, and visualize data. Central to Fabric is OneLake, a unified data lake that simplifies data management and access. Fabric includes tools like Power BI,Synapse Data Engineering,and Synapse Data Science,all working seamlessly together.

How the Integration Works

The integration between SAS Decision Builder and Microsoft Fabric centers around leveraging Fabric’s capabilities to enhance the entire decisioning lifecycle. Here’s a breakdown of the key aspects:

• Data Access: SAS Decision Builder can securely access enterprise data stored in Microsoft OneLake. This eliminates data silos and provides a single source of truth for decisioning.
• Model Advancement & testing: Utilize Fabric’s data science tools (like Synapse Data Science) to prepare data, build and train machine learning models, and than integrate these models into SAS Decision Builder. OneLake facilitates testing and refinement of these models with enterprise data.
• Deployment & Execution: SAS Decision Builder deploys decision logic that can be triggered by events or integrated into applications.
• Reporting & Analytics: Leverage Power BI within Fabric for comprehensive reporting and analytics on decision outcomes. Monitor key performance indicators (KPIs) and identify areas for improvement.
• Secure Environment: Benefit from Fabric’s robust security features,ensuring data privacy and compliance.

Benefits of the Integration

• Faster Time to Value: Low-code/no-code capabilities of SAS Decision Builder combined with Fabric’s streamlined data access accelerate the development and deployment of decisioning solutions.
• Improved Decision Quality: Access to comprehensive data and advanced analytics leads to more informed and accurate decisions.
• Increased Agility: The ability to quickly adapt decision strategies based on real-time data and changing business conditions.
• Reduced Costs: Consolidating data and analytics tools onto a single platform (Fabric) can reduce infrastructure and maintenance costs.
• Enhanced Collaboration: Fabric’s collaborative environment fosters better interaction and knowledge sharing between data scientists, business analysts, and IT professionals.

Use Cases

• Fraud Detection: Build real-time fraud detection models using SAS Decision Builder and Fabric’s data science tools, leveraging OneLake for comprehensive transaction data.
• Customer Offer Optimization: Personalize customer offers based on their behavior and preferences, using SAS Decision Builder to orchestrate the offer selection process and Fabric for data analysis and reporting.
• Credit Risk Assessment: Automate credit risk assessments using machine learning models developed in Fabric and deployed through SAS Decision Builder.
• Supply Chain Optimization: Optimize inventory levels and logistics using decision rules and predictive models built with the integrated platform.

FAQ

Q: What are the prerequisites for integrating SAS Decision Builder with Microsoft Fabric?

A: You’ll need active subscriptions to both SAS Decision Builder and Microsoft Fabric. ensure appropriate permissions are configured to allow SAS Decision Builder to access data in OneLake. SAS Support