List of SAS Viya Customers
SAS Institute
100 SAS Campus Drive,
Cary, 27513-2414, NC,
United States
Cary, 27513-2414, NC,
United States
1 800-727-0025
Professional Services
13500
$3.6B
Since 2010, our global team of researchers has been studying SAS Viya customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAS Viya for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAS Viya for Analytics and BI include: Telecom Italia, a Italy based Communications organisation with 26887 employees and revenues of $15.60 billion, Nationwide Building Society, a United Kingdom based Banking and Financial Services organisation with 22042 employees and revenues of $6.74 billion, Shionogi, a Japan based Life Sciences organisation with 5200 employees and revenues of $3.00 billion, University of Nevada, Las Vegas, a United States based Education organisation with 4299 employees and revenues of $523.0 million, KNVB Campus, a Netherlands based Leisure and Hospitality organisation with 800 employees and revenues of $150.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS Viya, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Analytics and BI software purchases.
The SAS Viya customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Analytics and BI software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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HUK24 | Insurance | 200 | $20M | Germany | SAS Institute | SAS Viya | Analytics and BI | 2023 | n/a |
In 2023, HUK24 implemented SAS Viya for Analytics and BI to analyze website traffic and improve the reliability of its AI-driven customer interactions. The deployment targeted the insurer's digital channel that functions as a virtual insurance agent, with a mandate to surface actionable insights about homepage traffic, chatbot performance and contact form flows to enable faster, self-service completion of standardized processes.
The implementation integrated core front-end components including search, chatbot and contact forms into an analytics and monitoring workflow built on SAS Viya. HUK24 used SAS Data Integration Studio to extract data from upstream systems, cleanse and aggregate event and interaction records, and load them into the SAS Viya in-memory environment. Within SAS Viya, the team implemented KPI calculations and flexible visual dashboards to measure AI quality, surface error patterns from production interactions and assess contextual relevance of virtual assistant responses.
Operational coverage centered on the website as the primary customer touchpoint, with dashboards and analyses consumed by management, technical departments and AI training experts. The solution provided visibility into how autonomous components handle short and long queries, enabling the AI team to understand failure modes when users submit terms like moving and to tune conversational guidance so that the assistant can guide customers step by step.
Governance and workflow changes were driven by HUK24’s head of AI, chatbots and technology, who emphasized production monitoring over static test suites and required adaptable dashboards to match evolving business needs. Outcomes reported by HUK24 include improved AI reliability that supported faster processes and enhanced customer trust, a customer time saving of more than 10 minutes for online processes, and analytics coverage supporting a website with over 2,000,000 monthly visitors.
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KNVB Campus | Leisure and Hospitality | 800 | $150M | Netherlands | SAS Institute | SAS Viya | Analytics and BI | 2024 | n/a |
In 2024, KNVB implemented SAS Viya as the analytics core of its customer engagement platform, using the solution within the Analytics and BI category to power SAS Customer Intelligence 360 and SAS Visual Analytics on SAS Viya. The implementation positions SAS Viya as the principal analytics engine for campaign management, segmentation, forecasting and visualization across the federation’s stakeholder ecosystem.
KNVB configured a multi-component architecture centered on the Customer Intelligence KNVB System CIKS, an opt-in database that aggregates member administration data from 3,000 amateur clubs and third-party feeds such as game data, ticket sales, merchandise sales, website visits and mobile app interactions. The CIKS contains 2.5 million unique profiles and feeds the Voetbal Intelligence Platform VIP, which enriches profiles with research results and demographic data for deeper behavioral analysis. SAS Customer Intelligence 360 provides campaign management and personalization capabilities, while SAS Visual Analytics on SAS Viya enables daily KPI analysis and visual exploration to support personalized customer journeys and tailored forecasting.
Integrations and operational coverage include direct access for thousands of football clubs through a broader football ecosystem and the Voetbalmedia subsidiary platform voetbal.nl, which engages more than 1.4 million users via web and mobile channels. Primary channels for engagement are email, mobile apps and the website, and operational ownership sits with the marketing department supported by the data intelligence team, which is responsible for maintaining the single customer view and facilitating stakeholder access. Commercial teams and external partners use the platform to identify and execute revenue opportunities and targeted outreach.
Governance and process controls emphasize automated extract transform and load processes, strict data quality checks and adherence to privacy rules, aligned with KNVB’s KPI-driven objectives to improve fan engagement, inform clubs and optimize commercial activity. Explicit outcomes reported from the SAS Viya enabled platform include telemarketing response increases of 45 percent for partner campaigns, click ratio improvements of 35 percent from better segmentation, and newsletter open ratios often reaching 75 percent. The platform also supports analytical inquiries such as retention drivers for players and ticket sales forecasting, demonstrating operationalized analytics across the organization.
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Nationwide Building Society | Banking and Financial Services | 22042 | $6.7B | United Kingdom | SAS Institute | SAS Viya | Analytics and BI | 2024 | n/a |
In 2024, Nationwide Building Society began deploying SAS Viya to deliver an Analytics and BI data platform, initiating a program to move SAS workloads from an on premise SAS9 AIX deployment to a cloud-native SAS Viya architecture. The project is framed as a cloud migration and platform consolidation effort led by data platform engineering teams based in Swindon and remote locations, with Jan 2024 recorded as the start of SAS Viya on Cloud work.
SAS Viya deployments were implemented across dev, non production, and production environments using a combination of Git driven infrastructure as code, manual methods, and Azure YAML pipelines. Configuration management and customization were managed with kustomize and sas-bases, and operational tasks used the SAS Viya CLI for activities such as UID and GID updates and annual SAS license deployments.
The infrastructure architecture centers on Azure Kubernetes Service provisioned via Terraform and Azure Pipelines, with storage provided by Azure NetApp Files configured with customer managed encryption keys, backups, disaster recovery replication, and capacity pools. Platform resources deployed through Terraform and pipelines include AKS clusters, NetApp volumes, load balancers, virtual networks, subnets, DNS zones, and application gateways. Identity and access patterns use OIDC and SCIM for identity management, with an interim OpenLDAP identity provider and SSSD configuration for domain joining servers. Containerization and application orchestration work included configuring AKS NVMe provisioners and Docker based deployments for applications such as Airflow using NetApp volumes.
Operational governance covered security modeling for data access, TLS certificate provisioning for secure endpoints, and platform incident management for high severity outages. Technical leadership activities included requirements gathering from migration teams, design of AKS and storage provisioners, and hands on troubleshooting of platform infrastructure. Nationwide Building Society SAS Viya Analytics and BI work is positioned as a central platform for analytics and data services, with detailed infrastructure, identity, and deployment patterns documented for ongoing platform operations.
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Shionogi | Life Sciences | 5200 | $3.0B | Japan | SAS Institute | SAS Viya | Analytics and BI | 2025 | n/a |
In 2025 Shionogi implemented SAS Viya to build a semiautomated clinical trials analytics capability within the Analytics and BI category. The initiative was driven by Shionogi’s Data Science Department to semiautomate routine trial programming while preserving safety, efficacy and regulatory compliance, and it produced the AI SAS Programmer System, or AI-SAS, as the production application for trial analysis workflows.
AI-SAS on SAS Viya is configured to semiautomatically generate SAS programs and to orchestrate machine learning and deep learning workflows, including convolutional neural network models used in trial analysis. The implementation leveraged SAS Viya’s native support for embedding Python authored models and code into a readable SAS Viya interface, which simplified construction and reduced the risk of opaque black box implementations for a team of primarily SAS users.
Operational coverage centered on clinical trial analysis and regulatory-compliant reporting, with deployment led by Shionogi’s Data Science Department and adoption spreading to other Japanese pharmaceutical companies and contract research organizations. Integrations explicitly included Python based machine learning and deep learning components executed through the SAS Viya interface, and the solution retained SAS as the central analysis engine for evidence generation and reporting.
Governance changes focused on shifting repetitive program generation and routine analytic tasks from analysts to AI-SAS automation, while maintaining strict data governance and auditability required for clinical regulatory submissions. The single platform approach on SAS Viya was used to simplify model implementation, centralize analytical controls, and support a strategic shift in business model thinking toward health care as a service.
Results reported by Shionogi include a reduction in standard analysis time per trial from 350 hours to approximately 250 hours, representing a 30 percent reduction in analysis workload and a 100 hour decrease in work per trial. SAS Viya powered AI-SAS has been cited as enabling broader adoption across the industry, and Shionogi is planning expansion of the AI approach into human resources, health management and real world data analysis while positioning SAS Viya at the center of its Analytics and BI tooling.
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Telecom Italia | Communications | 26887 | $15.6B | Italy | SAS Institute | SAS Viya | Analytics and BI | 2024 | n/a |
In 2024 Telecom Italia implemented SAS Viya as its Analytics and BI platform to centralize credit operations and enable real-time decision making across the credit area. The deployment leverages SAS Viya alongside SAS Visual Analytics and SAS Visual Statistics on SAS Viya 4 to deliver interactive dashboards, statistical scoring and operational reports for credit acceptance and management.
The implementation organized data into a structured data mart and a single centralized database, removing fragmentation across multiple repositories and providing a unified analytical layer. SAS Viya was configured to provide drill-down visualizations, dynamic reporting, and model execution, and the team established a new “funnel” data flow to support operational analyses and the export of results in graphical and tabular formats.
TIM integrated external information sources and aligned sales workflows with credit risk processes to support decisioning during the acceptance phase and downstream credit management. The solution scope included predictive model development for targeted credit areas, alerts on industry KPIs, and wider analytics coverage for trend and monthly performance reviews across the customer journey.
Governance was restructured by centralizing credit ownership into a single organizational unit and adopting an agile style delivery model with business users, IT and SAS collaborating continuously. The project was run with a Project Management Office, weekly status reviews, collaboratively written requirements, and delivered a first milestone six months after the January 2024 kickoff while continuing iterative releases for predictive capabilities.
Explicit outcomes reported include optimized analysis execution times, improved quality of results, greater flexibility in data management, and enhanced capacity to detect anomalies through timely analytics. SAS provided role-based training to TIM staff so business and data analyst teams could operate SAS Viya autonomously and sustain the analytics and governance processes.
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Banking and Financial Services | 200 | $25M | Italy | SAS Institute | SAS Viya | Analytics and BI | 2025 | n/a |
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Education | 4299 | $523M | United States | SAS Institute | SAS Viya | Analytics and BI | 2025 | n/a |
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Buyer Intent: Companies Evaluating SAS Viya
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating SAS Viya. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating SAS Viya for Analytics and BI include:
- Byggebroen, a Denmark based Construction and Real Estate organization with 55 Employees
- Bank of America, a United States based Banking and Financial Services company with 213000 Employees
- Allegheny Partners, a United States based Construction and Real Estate organization with 25 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD SAS Viya Coverage
SAS Viya is a Analytics and BI solution from SAS Institute.
Companies worldwide use SAS Viya, from small firms to large enterprises across 21+ industries.
Organizations such as Telecom Italia, Nationwide Building Society, Shionogi, University of Nevada, Las Vegas and KNVB Campus are recorded users of
SAS Viya for Analytics and BI.
Companies using SAS Viya are most concentrated in Communications, Banking and Financial Services and Life Sciences, with adoption spanning over 21 industries.
Companies using SAS Viya are most concentrated in Italy, United Kingdom and Japan, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SAS Viya across Americas, EMEA, and APAC.
Companies using SAS Viya range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 42.86%, large organizations with 1,001-10,000 employees - 28.57%, and global enterprises with 10,000+ employees - 28.57%.
Customers of SAS Viya include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified SAS Viya customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.