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
To browse resources by type, select an option below.
-
- Select resource type
- Analyst Report
- E-Book
- Fact Sheet
- Industry Overview
- Product Brief
- Overview Brochure
- Solution Brief
- White Paper
- White Paper
- Webinar
- Article
- Blog Post
- Book Excerpt
- Case Study
- Infographic
- Interview
- Research
- Series
- Video
- Customer Story
- 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.
- White Paper Customer Engagement Analytics: How to Use Data to Create (and Keep) Happy CustomersContact Center & Customer Experience Management
- Customer Story Modern, real-time marketing grew membership and incremental sales for leading grocery retailerMigros uses SAS MarTech solutions to personalize customer journeys, optimize campaign strategies and enhance customer engagement.
- Customer Story Jakarta Smart City uses IoT analytics to better serve residentsJakarta and SAS team up to create an award-winning approach to public services and disaster management.
- Customer Story Voetbalmedia uses martech from SAS to better engage with 1.4 million football players and enthusiastsSAS Customer Intelligence 360 helps Dutch football platform improve user reach and participation through unique offers and experiences.
- 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 Do marketers need real-time analyticsHow can you ensure that real-time analytics enhances your customer and marketing operations? Here are four tips for applying real-time approaches.
- White Paper Creating Meaningful Data-driven Customer JourneysBuilding a brand to achieve customer trust through responsible, personalized engagement.
- Customer Story Norway’s largest telecommunications, media and technology provider adapts to rapidly changing customer expectations using a hybrid cloud approachTelenor relies on SAS Viya on Azure and SAS Customer Intelligence 360 to provide fast, personalized customer service based on real-time analytics.
- 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 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 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 Integrated marketing improves results for marketers and customersDigital insurance company InShared uses SAS Customer Intelligence 360 to improve services and extend personalized offers.
- 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.
- 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.
- Article What big data has brought to the privacy discussionHow does big data impact your privacy? There are ways to balance privacy and security in an increasingly transparent and dangerous world.
- 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.
- Article The marketing analytics must-havesMarketing analytics will attune you to the true signals of what matters to customers as channels, technologies and data push the digital world forward.
- Customer Story Customer Story & Video IoT data with artificial intelligence reduces downtime, helps truckers keep on truckingVolvo Trucks and Mack Trucks use sensor data and SAS AI solutions to minimize unplanned downtime.
- 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.
- 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.
- Analyst Report White Paper Marketing Analytics for Manufacturing: Forging Customer InsightsBusiness Intelligence
- 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.
- Customer Story 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.
- Customer Story Modernizing consumer lending in VietnamVietCredit aims to revolutionize the consumer finance market with SAS.
- 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.
- 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.
Related Offerings
Check out these products and solutions related to SAS Intelligent Decisioning.
- Multichannel Marketing Hub | SAS® Customer Intelligence 360Individualize every customer interaction in real time with a modern multichannel marketing hub.
- SAS for Risk Modeling & Decisioning | Powered by AzureModernize risk across the organization with a trusted solution for managing analytical models and decision strategies.
- SAS® Event Stream ProcessingUse machine learning and streaming analytics to uncover insights at the edge and make real-time, intelligent decisions in the cloud.