Number of Seats/Users: SAS Viya offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows SAS Viya that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from SAS Viya. SAS Viya reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: SAS Viya offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from SAS Viya. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: SAS Viya often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

Here at Spendbase, our internal data shows that SAS Viya is a top choice for organizations looking for powerful cloud-native AI, analytics, and data management solutions. Spendbase clients across diverse sectors such as management consulting, pharmaceutical research, and human resources consistently highlight several key strengths and areas for improvement in their feedback.

Key strengths our clients appreciate:

– Easy Integration: SAS Viya integrates smoothly with business systems. Clients often mention how simple it is to set up and connect with various technologies, saving valuable time in deployment.
– Low-Code Machine Learning: A favorite feature is the intuitive drag-and-drop interface. Many clients highlight that this allows users without coding background to build and optimize ML models easily. For those who prefer coding, Python notebook support is also available.
– Automated AI and Analytics: AI-based automation and AutoML functionalities empower teams to focus on critical decisions and performance improvements, rather than getting lost in complex processes.
– Flexible Data Wrangling: Data preparation, cleaning, and wrangling are efficiently supported, especially for big data and unstructured data. Clients say this dramatically helps prepare their datasets for analysis or predictive modeling.
– Robust Visualization: Spendbase clients repeatedly mention advanced, interactive data visualizations and dashboards—perfect for sharing insights with other teams.
– Statistical and ML Functions: Companies working with biostatistics, clinical research, or high-volume predictive modeling value the rich set of algorithms (e.g., survival analysis, regressions, support vector machines).

Areas for improvement our clients mention:

– Limited Customization: Some Spendbase clients express that out-of-the-box settings don’t always fit unique business needs and wish for more flexible analytic tools.
– Integration Challenges: Interfacing with third-party solutions is sometimes complex and not always fully supported.
– Product Stability: Occasional crashes or slowdowns are reported, especially when working with very large datasets or advanced analytics tools.
– Deployment Process: Moving models from development to production can require significant manual effort, causing delays and extra resource costs.
– Accessibility and Pricing: While powerful, SAS Viya’s licensing costs can be a barrier for smaller businesses. Users wish for broader access or flexible pricing options.

Summary for Discount Seekers:

Based on Spendbase client insights, SAS Viya excels in user-friendly analytics and machine learning for large organizations. For teams looking for cost savings, focusing on optimizing deployment workflows, exploring bundled license agreements, and leveraging no-code tools for faster ROI can help balance value against budget. If you’d like to explore a personalized discount, we’re here to help you maximize benefits and minimize spend!