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.
SAS Viya is cloud-native and cloud-agnostic
Consume SAS how you want – SAS managed or self-managed. And where you want.
Explore More on SAS Intelligent Decisioning & Beyond
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- Article Contextual engagementCreating contextual customer engagements means understanding enough about each customer to ensure that all communications over time are progressively more anticipated, personal and relevant.
- Analyst Report SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024.
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- Customer Story Predictive analytics and AI deliver a winning fan experience The Orlando Magic uses mobile app data and machine learning to personalize marketing campaigns and analyze game data.
- Analyst Report SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.The Forrester Wave™: AI Decisioning Platforms, Q2 2023 recognizes SAS for seamlessly integrating world-class analytics for decisioning.
- Article Effective real-time marketingEffective real-time marketing is about engaging with customers whenever and wherever they are in their buying journey. Organizations should also be focused on knowing what the customer wants (product, pricing, experience, etc.) based on real-time analytics and predictive modeling.
- 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.
- Article The digitization of everything – its impact on the buyer’s journey and marketing’s roleFor nearly a century, the buyer’s journey was relatively linear. Advertising through mass media led to conversing with salespeople, friends and family. A purchase was made. But in today’s digitally networked world, studies show there are 3,000 different paths to purchase. How does marketing respond to this new reality? Brian Vellmure has answers.
- Customer Story Workplace solutions retailer creates compelling customer experience via data-driven marketingViking Europe drives change by putting SAS Customer Intelligence 360 at the center of its digital transformation.
- Customer Story Complex telco product portfolio, maximum agility thanks to intelligent decisioningGerman telco provider 1&1 works with SAS and partners to improve offer management, accelerate time to market and enhance the customer experience.
- Customer Story Swiss financial institution uses advanced analytics to reimagine marketing and personalize customer experiencesPostFinance turns to SAS to automate and optimize campaigns for improved offers, more effective communications and higher response rates.
- Customer Story A customer connection is the special ingredientItalian olive oil company Fratelli Carli uses SAS Customer Intelligence 360 to create an integrated, personalized customer experience.
- Article Five trends that will reshape customer experienceApplying the latest research from HBR gives a new twist on this surprisingly relevant 2015 list of CX do’s and don’ts.
- Customer Story The right offer every timeMigros individualizes its marketing with SAS Customer Intelligence, sees response rates and revenue increase.
- Series Brand equity has a big role in RCI's strategyBrand equity isn't about what you sell, it's about your customers' perception of you, your products and your services. It's storable, but perishable.
- Article IoT: The customer experience accelerator you can't afford to ignoreIoT represents a powerful source of data that, when combined with analytics, can yield insights on everything from behavior to emotions to health. And that's why it's key to improving customer experience.
- E-Book How Can Retailers Satisfy Today's Customers? With omnichannel analytics, you can use all the data you’re collecting on multiple channels, combine it with product data to improve all retail operations, while also improving the customer experience.
- White Paper Getting to Why in Omnichannel Marketing AttributionThis paper explores the role of advanced analytical tools in understanding customers, driving marketing effectiveness and optimizing strategies and tactics to maximize business results.
- White Paper Improving HCP Engagement with Digital AnalyticsDigital analytics can facilitate practical insights for enhancing customer experiences and improving digital engagement.
- White Paper Marketing attribution: Giving credit where credit is dueMarketing attribution helps you analyze the impact and business value of company-generated marketing interactions to help make the best marketing investment decisions. The challenge is to interpret the massive volumes of customer data that continues to expand day by day.
- 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.
- E-Book Improving Customer ExperienceEveryone makes better decisions with easy access to powerful, interactive analytics – no matter the size of the business. This e-book profiles seven organizations that are using self-service data visualization and exploration to make big improvements in the way they work.
- Analyst Report SAS Explore 2022 Review and AnalysisThis IDC Link focuses on several SAS announcements supporting faster time-to-value for AI/ML model-driven businesses.
- 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.
- Analyst Report White Paper Marketing Analytics for Manufacturing: Forging Customer InsightsBusiness Intelligence
- Article Viking transforms its analytics strategy using SAS® Viya® on AzureViking is going all-in on cloud-based analytics to stay competitive and meet customer needs. The retailer's digital transformation are designed to optimize processes and boost customer loyalty and revenue across channels.
- 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.
- Customer Story Reaching 3.6 million football fans via comprehensive marketing analyticsThe Royal Dutch Football Federation relies on SAS Customer Intelligence 360 to better understand what motivates players and fans, engage audiences with personalized communications, and promote the love of the game.
- Article Three ways to improve real time marketing resultsReal-time marketing enables you to reach customers during purchase deliberations to provide the push a campaign needs be wildly successful.
- Article AI marketing: What does the future hold?AI marketing uses artificial intelligence and analytics to improve marketing results while enhancing customer experiences through real-time personalization.
- Article Your customers aren’t afraid of new technologies. Are you? New research uncovered some interesting themes for the next decade of customer engagement. Surprisingly, consumers are embracing technology at a faster rate than brands might expect or admit.
- Webinar Real-Time Decision Manager Join us for this complimentary webinar exploring the challenges that marketers face today building a customer experience (CX) strategy that can adapt in real time to meet customers’ needs.
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