SAS IS A LEADER
IDC MarketScape: Worldwide Decision Intelligence 2024
In this inaugural report from IDC, SAS strengths include a scalable platform for real-time decisioning, ease around development of decision flows and business rules using UI and low code capabilities, and flexibility in using different programming languages for model deployments.
SAS Intelligent Decisioning is a cloud-native SaaS platform that enables enterprises to follow a standardized and structured decisioning process while leveraging both human and technology strengths to best address the problem.”
Explore more SAS resources
To browse resources by type, select an option below.
-
- Select resource type
- Artykuł
- ARTYKUŁ NA BLOGU
- Badanie
- Case Study
- E-book
- Fragment książki
- HISTORIA KLIENTA
- Infografika
- Raport
- Seria
- WEBINARIUM
- White Paper
- White Paper
- Wideo
- Wywiad
-
WEBINARIUM
From Insight to Action: Operationalizing AI Decision Intelligence -
HISTORIA KLIENTA
Reinventing credit risk management with integrated analytics and intelligent decisioning -
HISTORIA KLIENTA
Intelligent, real-time fraud decisions in 50 milliseconds -
HISTORIA KLIENTA
Streamlining financial management with advanced analytics -
HISTORIA KLIENTA
Insurance fraud detection rate soars 175% with real-time intelligence -
Raport
The Forrester Wave™: Real-Time Interaction Management, Q4 2025 -
HISTORIA KLIENTA
Automating credit decisions for a digital-first future -
WEBINARIUM
Credit Risk Decisioning Using Intelligent Decisioning on SAS® Viya® -
E-book
Decisions you can trust: A strategic guide to trustworthy data and AI decision making -
White Paper
Rethinking risk: Smarter models, better decisions -
Raport
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024 -
Raport
The Forrester Wave™: AI / ML Platforms, Q3 2024 -
E-book
Intelligent decisioning in government -
HISTORIA KLIENTA
Making faster, smarter credit decisions while elevating customer experience -
E-book
The insurance data and AI revolution -
HISTORIA KLIENTA
One airport operator is making every journey personal for passengers -
HISTORIA KLIENTA
Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
HISTORIA KLIENTA
Jakarta Smart City uses IoT analytics to better serve residents -
Raport
The Forrester Wave™: AI Decisioning Platforms, Q2 2023 -
Artykuł
Viking transforms its analytics strategy using SAS® Viya® on Azure -
HISTORIA KLIENTA
Finland’s top retail bank applies AI to improve customer service and credit scoring -
HISTORIA KLIENTA
Transformation of the National Bank of Greece with SAS Viya on Microsoft Azure -
HISTORIA KLIENTA
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
HISTORIA KLIENTA
Complex telco product portfolio, maximum agility thanks to intelligent decisioning -
HISTORIA KLIENTA
Modernizing consumer lending in Vietnam -
HISTORIA KLIENTA
HISTORIA KLIENTA
IoT data with artificial intelligence reduces downtime, helps truckers keep on trucking -
White Paper
Intelligent Decision Automation for Telecommunications in the Digital Age -
E-book
Brilliant decision? -
E-book
Fearless Decision? -
WEBINARIUM
ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization -
WEBINARIUM
Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
WEBINARIUM
Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys
IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. The Capabilities score measures vendor product, go-to-market and business execution in the short-term. The Strategy score measures alignment of vendor strategies with customer requirements in a 3-5-year timeframe. Vendor market share is represented by the size of the icons.