Digital decisioning
SAS Intelligent Decisioning
Drive real-time interactions and automate analytically driven decisions at scale.
SAS Intelligent Decisioning enables you to make the best decisions when interacting with customers, partners, suppliers and employees.
Deliver real-time decisions for all your use cases.
Deliver relevant, interactive, real-time decisions based on business rules and sophisticated analytics at scale to a limitless number of use cases. Easily test decisions prior to deployment to ensure they deliver the expected results. Robust governance ensures your decisions are understood and trusted across the business. High data and decision volumes are easy to handle with a cloud-based architecture that can scale to meet your demands. Deliver decisions at the edge and in stream through integration with IoT devices.
Enable easy collaboration for users of all skill sets.
Build and modify decisioning processes with ease, whether you prefer a drag-and-drop GUI or the ability to write code. Define decisions by browsing centralized data, model and business rule repositories and selecting from existing assets. Compare different objects and versions to understand and track changes for easier collaboration across teams. Ensure accuracy and task transparency using an out-of-the-box, role-based governance workflow to apply various decisioning checkpoints.
Make the best decision every time.
Improve decision quality by incorporating artificial intelligence and machine learning models from a common repository, created in your preferred language.
Deploy analytical models in decisions with consistency and speed.
A common decision authoring and deployment environment dramatically reduces the time required for IT to validate and deploy analytical models – whether written in SAS, open source or custom code. From a single interface, you can natively integrate, manage and deploy SAS and Python analytical models, custom code and business rules, with identical logic for both batch and real-time web service execution. That means faster deployment and confidence in the integrity of your analytically driven operational decisions.
Leverage the power of SAS Intelligent Decisioning inside the Microsoft Power Platform.
The SAS Decisioning Power Connector, a certified connector in the Microsoft Power Platform, enables you to link to your SAS Viya environment and run selected decision modules and analytical models within a Microsoft Power App or Power Automate. The SAS Decisioning connector makes it easy for you to combine the two leading platforms for AI-driven business applications and processes.
Quickly execute more decisions with less effort.
SAS Container Runtime is a lightweight OCI (Open Container Initiative) compliant Docker container for executing SAS models, Python models and Python code. It is highly scalable and can be published to any container registry on Microsoft Azure, AWS and GCP. Users can then take advantage of the cloud infrastructure to deploy with the smallest footprint. This ensures that you can fully utilize your resources to quickly execute the largest number of decisions and reduce the effort required to manage the environment.
Key Features
With SAS Intelligent Decisioning, you can easily create, manage and govern robust, analytically driven business rules to power decisioning at scale.
Data access, preparation & quality
Access, profile, cleanse and transform data using an intuitive interface that provides self-service data preparation capabilities with embedded AI.
Data visualization
Visually explore data and create and share smart visualizations and interactive reports through a single, self-service interface. Augmented analytics and advanced capabilities accelerate insights and help you uncover stories hidden in your data.
User-friendly interface
Build and manage even the most complex decisioning elements with ease – including decision flows, rules, data sources code nodes and analytics – using a drag-and-drop GUI or writing code in the language of your choice.
Common decision authoring & deployment environment
Simplify validation of the entire decision flow. Complete version control preserves documentation, testing traceability and continuity in an environment shared by IT and the business.
Real-time decisioning
Apply analytics and business rules in real time during customer interactions and operational business processes.
Reusable content
Create reusable content and custom functions to accelerate decisioning across the organization.
Rapid, well-governed decision life cycle management
Quickly respond to changing decisions and customer dynamics. Speed up common manual tasks, such as business rule definition and deployment, in a controlled and safe environment to ensure quality of decisions and auditability. Easily integrate your organization's CI/CD processes.
Integrated with SAS machine learning & model management capabilities
Use with visual machine learning for integrated model development and management capabilities – both SAS and open source. A common model repository facilitates centralized model governance and monitoring.
Cloud native
SAS Viya's architecture is compact, cloud-native and fast. Whether you prefer to use the SAS Cloud or a public or private cloud provider, you'll be able to make the most of your cloud investment.
Better together with Microsoft
The SAS Decisioning Power Connector enables you to include decisioning as part of the Microsoft Power Platform. You can easily embed models and decisions in web and mobile apps. Automate business processes with intelligent decisioning. And centrally manage business rules.
Disponible sur votre fournisseur de cloud préféré
Relevez tous vos défis avec l'analytique en prenant des décisions plus rapides dans le Cloud.
Explore More on SAS Intelligent Decisioning & Beyond
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Article
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Customer Story
Customer Story
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White Paper
The Internet of Things: Marketing’s Opportunities and Challenges Learn how marketers can apply event-based marketing and real-time marketing capabilities to capitalize on IoT data in the moment by pinpointing significant customer events, which then trigger real-time customer decisions. The result? Best offers delivered in real time, given the consumer’s current context.
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E-Book
The Path to a Single Customer ViewLearn how CDPs are evolving as marketing technology modernizes, possibilities for CDP use cases, how to define use cases, retailers that successfully use CDPs and what organizations should consider before selecting the CDP that's right for them.
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White Paper
Keys to robust credit risk modeling and decisioning for better customer experienceModernizing and automating the end-to-end process for origination and servicing – from data management to model development to credit decisions – can reduce credit losses and boost performance. This paper explores how infusing machine learning into this process supports more effective credit decisions for individuals, products or portfolios.
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White Paper
Real-Time Analytics: The Key to Unlocking Customer Insights & Driving the Customer ExperienceThis Harvard Business Review Analytic Services report looks at how businesses are using advanced customer data analytics, along with real-time analytics and real-time marketing, to enhance their customers’ experiences.
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E-Book
Transformational decision?Governments can incorporate AI-driven decisioning into existing business processes to take advantage of digital transformation benefits. Through automated processes, deeper insights and the ability to act quickly, governments can innovate service delivery, drive efficiency and help build a better future.
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E-Book
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E-Book
Brilliant decision? In the battle for consumers’ hearts and minds, retailers have typically focused their digital transformation initiatives on customer experience and engagement. However, in these challenging times, it’s not enough to just get the customer’s attention — you need to convert impressions and site or store visits into sales and fulfilled orders.
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Analyst Report
SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q2 2022Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q2 2022.
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Article
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Analyst Report
Data-Driven Grid Reliability: IoT Sensing and Analytics to Enable Predictive Maintenance and Improve ResiliencyLearn how the emergence of artificial intelligence, IoT sensors, advanced analytics and predictive maintenance within utility distribution systems can significantly improve reliability and build resiliency in the power grid.
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Customer Story
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Customer Story
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Customer Story
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Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyondTelefónica Ecuador accelerates digital transformation, improves campaigns and achieves growth via intelligent decisioning powered by SAS.
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Article
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Check out these products and solutions related to SAS Intelligent Decisioning.
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- SAS® Model ManagerRegister, modify, track, score, publish and report on analytical models through a web interface that is integrated with the model building process.
