What are SAS Models?
SAS Models are industry-focused analytical offerings designed to help organizations address complex business challenges using proven approaches informed by decades of SAS expertise.
Built for banking, health care, manufacturing, government and other regulated industries, SAS Models help teams align analytics with operational workflows and make more confident decisions.
Why choose SAS Models?
Industry-informed design
Built using decades of experience solving complex business challenges across banking, health care, manufacturing, public sector and other industries.
Faster time to value
Leverage proven analytical approaches that help accelerate implementation and reduce the effort required to address challenging industry use cases.
Alignment with operational workflows
Designed to support real-world business processes and decision-making environments rather than generic analytical approaches.
Trusted and transparent
Enable organizations to innovate confidently with governance, transparency and accountability built into the broader SAS ecosystem.
What industries use SAS Models?
SAS Models help organizations address industry-specific challenges related to risk, compliance, operational efficiency, customer intelligence, public sector program integrity and health outcomes. These offerings support common use cases such as entity resolution, document analysis, medication adherence, industrial safety, payment integrity, tax compliance and supply chain optimization.
Banking and Financial Services
- Entity resolution
- Fraud and risk insights
- Customer intelligence
Health Care & Life Sciences
- Medication adherence
- Health record analysis
- Population-level understanding
Manufacturing & Industrial
- Safety monitoring
- Supply chain planning
- Operational performance
Public Sector
- Payment integrity
- Tax compliance
- Program performance
SAS Models drive value across your most critical business challenges
Solve real-world operational problems within complex regulatory environments.
CROSS-INDUSTRY
Entity Resolution
Organizations often struggle to create a consistent view of customers, businesses, providers or citizens when information exists across multiple systems.
Entity Resolution applies matching, linking and data quality techniques to help you identify relationships, reduce duplicate records and establish a more complete and trusted view of key entities. This supports better decision-making, stronger customer experiences and improved operational efficiency.
CROSS-INDUSTRY
Document Analysis
Organizations across industries need efficient ways to access and use information contained within documents, forms and other unstructured content.
Document Analysis provides capabilities that help you extract, organize and prepare information from document-based sources for analytics, reporting and operational use. By converting unstructured content into structured, usable data, you can reduce manual processing, improve information accessibility and accelerate business processes that depend on document-driven information.
HEALTH CARE
Medication Adherence Risk
Health care organizations and life sciences companies need better visibility into treatment adherence to support patient outcomes and improve program effectiveness.
Medication Adherence Risk helps you analyze prescription, claims and patient data to identify adherence risks, understand treatment patterns and prioritize interventions. By supporting more proactive engagement strategies, you can improve patient outcomes while optimizing resource allocation.
HEALTH CARE
Document Analysis for Health Records
Health care organizations often struggle to extract actionable insights from large volumes of clinical and operational data.
Document Analysis for Health Records helps you extract, organize and analyze information contained within clinical records. By supporting more efficient analysis of complex data, you can strengthen care delivery, support research initiatives and improve operational performance.
MANUFACTURING
Industrial Safety
Manufacturers and industrial organizations must continuously monitor operational risks to help protect workers, maintain compliance and reduce costly incidents.
Industrial Safety applies analytical techniques to operational, maintenance and safety data to identify potential risk factors, support preventive actions and improve workplace safety performance. You can use these insights to strengthen safety programs and support more reliable operations.
MANUFACTURING
Strategic Supply Chain Optimization
Organizations must balance inventory levels, service expectations and operational efficiency across increasingly complex supply chains.
Strategic Supply Chain Optimization combines forecasting, demand planning, inventory optimization and supply chain planning techniques to help you improve inventory decisions, enhance service levels and increase supply chain resilience. The offering supports more informed planning and better alignment between operational goals and business outcomes.
PUBLIC SECTOR
Payment Integrity for Food Assistance
Food assistance programs must balance timely benefit delivery with accurate eligibility determinations and payment issuance while meeting regulatory requirements and program oversight objectives.
Payment Integrity for Food Assistance helps agencies identify potential overpayments, monitor error trends and prioritize high-risk cases for review. By applying analytical techniques to program and quality control data, organizations can better understand the drivers of payment errors, strengthen program oversight and support continuous improvement efforts. This approach helps agencies improve payment accuracy, reduce improper payments and maintain confidence in program administration.
PUBLIC SECTOR
Tax Compliance for Individual Income Tax
Tax authorities face increasing pressure to improve compliance outcomes while operating with constrained resources and growing data complexity.
Tax Compliance for Individual Income Tax helps agencies identify higher-risk taxpayer cases, accelerate operational triage and support more informed audit, collection and investigation decisions. The offering combines analytical techniques and operational insights to reduce review time, improve prioritization and enhance the overall effectiveness of individual income tax compliance programs.
PUBLIC SECTOR
Tax Compliance for Sales Tax
Tax agencies face increasing pressure to improve compliance outcomes while efficiently managing growing volumes of business tax return data.
Tax Compliance for Sales Tax helps agencies identify potential compliance issues, prioritize audit leads and support more effective review and enforcement activities. By combining analytical techniques with operational insights, the offering reduces the effort required to evaluate large numbers of returns, enabling teams to focus on higher-value investigations and data-informed decision-making. The result is stronger compliance oversight, more effective resource allocation and improved revenue protection.
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SAS Models frequently asked questions
What are SAS Models?
SAS Models are industry-focused analytical offerings designed to help organizations address complex business challenges using proven analytical approaches. They support use cases such as entity resolution, payment integrity, tax compliance, medication adherence, document analysis, industrial safety and supply chain optimization.
Grounded in real-world industry experience, SAS Models provide a starting point that organizations can adapt to their specific business processes, operational requirements and regulatory environments.
Who uses SAS Models?
SAS Models are used by business analysts, program managers, compliance teams, investigators, health care professionals, operations leaders and data science teams.
How are SAS Models different from custom analytics projects?
They provide a starting point based on proven industry practices while allowing organizations to adapt and extend them to meet their specific requirements.
Are SAS Models industry-specific?
Yes. SAS Models are designed to address complex business challenges and operational workflows across industries such as banking, health care, manufacturing and the public sector.
Are SAS Models prebuilt applications?
No. They are analytical capabilities and accelerators designed to help organizations address complex use cases while maintaining flexibility for their unique business processes.