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.
Whether you prefer a drag-and-drop GUI or the ability to write code, you can build and modify decisioning processes with ease. 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. Use out-of-the-box tasks and shared, flexible processing control logic to make decision creation and management simple for all skill sets.
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 for 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..
KEY FEATURES
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.
Custom chatbot creation
Create and deploy custom, natural language chatbots via an intuitive, low-code visual interface for chatbot-enabled insights and conversational user experiences.
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 interace
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 decision process creation & management
Quickly respond to changing decisions and customer dynamics. Speed up common manual tasks, such as business rule definition and deployment.
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.
Get to Know SAS® Intelligent Decisioning
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Customer Story
Personalization is key in telecommunications. And analytics the natural solution.Telenor Norway uses SAS Analytics to enhance business decisions and continuously adapt to customers’ needs.
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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.
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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.
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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.
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Article
Real-time customer engagement is the future of experience managementReal-time customer engagement delivers contextual recommendations and decisions to your interactive customer channels at every possible touch point.
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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, Q4 2020Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q4 2020.
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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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White Paper
Operationalizing and Embedding Analytics for ActionThis TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value.
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White Paper
Managing the Analytics Life Cycle for Decisions at ScaleLet the SAS Analytics Life Cycle guide you through the iterative process of going from raw data to predictive modeling to automated decisions, faster. This paper tells you how.
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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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White Paper
Six Keys to Credit Risk Modeling for the Digital AgeModernizing 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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Customer Story
AI-driven personalization gives electronics retailer a boostConrad Electronic uses customer intelligence solutions from SAS to craft relevant offers in real time.
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Customer Story
Hybrid approach ensures seamless experience for insurance customersInsurance company Topdanmark gains a true omnichannel marketing approach and better workflows with SAS® Customer Intelligence 360.
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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.
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Customer Story
Building customer satisfaction with better network monitoringSAS Analytics helps a major telecom organization analyze traffic, anticipate problems and improve customer service.
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