SAS Econometrics Overview
SAS Econometrics on SAS Viya helps model complex business and economic scenarios using vast data. Challenging real-world questions can be answered effectively.
Use Cases
Customers recommend Forecasting, Business Development, Collaboration, as the business use cases that they have been most satisfied with while using SAS Econometrics.
SAS Econometrics Use-Cases and Business Priorities: Customer Satisfaction Data
Reviews
"...Model, forecast and simulate complex economic and business scenarios using huge amounts of observational data...." Peer review
Peer review evidence (same sources as the product rating summary)
"...SAS Econometrics helps organizations model, forecast and simulate complex economic and business scenarios to plan for changing marketplace conditions...." SAS Econometrics
"...SAS Viya extends the SAS Platform to enable everyone data scientists, business analysts, developers and executives alike to collaborate and realize innovative results faster, with flexible licensing and pricing options to accommodate your current and future needs. ..." SAS Econometrics
"...SAS Viya extends the SAS Platform to enable everyone data scientists, business analysts, developers and executives alike to collaborate and realize innovative results faster, with flexible licensing and pricing options to accommodate your current and future needs. ..." SAS Econometrics
SAS Econometrics Customer wins, Customer success stories, Case studies
What makes SAS Econometrics ideal for Forecasting?
DHL Supply Chain - Logistics And Supply Chain - Very Large
DHL Supply Chain to handle SAS ground operations at Manchester Airport
Liverpool Football Club - Sports - Very Large
Data Giant SAS's Deal With Liverpool FC Signals a Broader B2B Shift
Kerala State IT Mission - Government - Very Large
Kerala partners with SAS to use AI in welfare schemes
HSBC - Financial Services - Very Large
SAS Econometrics Features
- Low
- Medium
- High
| FEATURE | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (1) |
| Analytics | Read Reviews (30) |
| Custom Reports | Read Reviews (7) |
| CAPABILITIES | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (1) |
| Analytics | Read Reviews (30) |
| Custom Reports | Read Reviews (7) |
Software Failure Risk Guidance
?for SAS Econometrics
Top Failure Risks for SAS Econometrics
SAS Institute Inc. News
SAS named a Leader in financial crime management solutions, says top research and advisory firm
SAS has been recognized as a Leader in financial crime management solutions by Forrester Research in its Q3 2026 report. SAS's AI-powered, cloud-native Viya platform received the highest scores in nine out of eleven criteria, highlighting its capabilities in data integration, AI/ML-based risk scoring, and regulatory reporting. This recognition underscores SAS's strength in fraud and financial crime management.
SAS and AWS bring new insights to AI Enterprise Conference 2026
SAS and AWS are collaborating at the AI Enterprise Conference 2026 to discuss AI trust and governance. They will present the SAS Data and AI Impact Report, highlighting AI's role in business. The collaboration includes integrating SAS Viya and other platforms with AWS technology to enhance AI solutions.
SAS aces Chartis' 2026 fraud platform evaluation, best-in-class in every category
SAS has been recognized as a leader in the 2026 Chartis fraud platform evaluation, earning best-in-class scores in 21 out of 25 criteria. SAS excelled in enterprise fraud, payment fraud, and fraud platform categories, showcasing its strengths in analytics, AI functionality, and integrated fraud management solutions. This recognition underscores SAS's role in providing comprehensive fraud detection and management capabilities.
Swiss Re and SAS partner to support insurers with AI-driven risk intelligence
Swiss Re and SAS have formed a strategic partnership to enhance insurers' risk assessment and pricing using AI-driven solutions. The collaboration integrates Swiss Re's catastrophe risk expertise with SAS's AI and actuarial modeling capabilities, enabling insurers to incorporate real-time risk data into underwriting and pricing processes. This joint solution aims to improve operational efficiency and decision-making in the insurance sector.
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