Data is more than just numbers; it is a strategic asset that determines a company’s competitive edge. However, the real challenge lies in transforming big data into trusted insights quickly and efficiently. SAS® Viya® emerges as the solution to these needs, offering an end-to-end AI, analytics, and data management platform designed for performance, productivity, and trust.
Why Do Organizations Need SAS Viya?
Many organizations today face heavy computational burdens when handling big data. Furthermore, there is significant pressure to provide scalable solutions amidst budget constraints and rising cloud operational costs.
Other critical challenges include:
- Lack of Data Governance: Difficulty in controlling the quality and security of analytical processes.
- Technology Fragmentation: Challenges in managing a diverse and disjointed technology portfolio.
- Decision-Making Bottlenecks: Suboptimal technology hinders the speed of making strategic decisions.
Tailored Solution Packages for Every Analytical Need
One of the primary advantages of SAS Viya is its flexibility. The platform offers “Foundational Offerings” for general needs and “Specialized Offerings” for unique analytical use cases. The solution packages are categorized as follows:
1. Programming-Only Interfaces
For statisticians and programmers who prefer working directly with code:
- SAS Analytics Pro: A comprehensive suite of data analysis tools.
- SAS Analytics Pro Advanced: A more robust version for complex statistical needs.
- SAS Viya Programming: Provides the full power of the Viya engine for SAS language users.
2. Visual Data Science Interfaces
For users who prefer a visual and interactive approach to data exploration:
- SAS Visual Analytics: A single application for data exploration, analysis, and reporting.
- SAS Visual Statistics: Used to discover new patterns and build interactive models and reports.
3. Enterprise Platform Packages
For large organizations requiring a complete ecosystem:
- SAS Viya: Includes Visual Analytics, Visual Statistics, plus machine learning, deep learning, and model governance capabilities.
- SAS Viya Advanced: Adds forecasting, optimization, and text analytics features.
- SAS Viya Enterprise: The most complete package, including event streaming, intelligent decisioning, and ModelOps.
Market Validation: The Fastest and Most Efficient
The superiority of SAS Viya is not just a claim; it is recognized by global research institutions. According to The Futurum Group, SAS Viya performs 30 times faster and is more scalable than other commercial or open-source alternatives. Additionally, the platform is proven to be 86% more cost-effective.
Other notable achievements include:
- Gartner Magic Quadrant: A Leader in Data Science and Machine Learning platforms for eight consecutive years.
- Forrester: Recognized as a “Strong Leader” in AI Decisioning Platforms.
- Total Economic Impact (TEI): Based on Forrester research, using SAS Viya on Azure delivers an average ROI of 204%.
Who Should Use SAS Viya?
The platform is designed for cross-divisional collaboration, from technical roles to management:
- IT Leadership (CIO/IT Manager): To manage secure and scalable data infrastructure.
- Data & Analytics Leadership (CDO/CAO): To ensure data strategy aligns with business goals.
- Data Scientists & Data Engineers: To build and integrate analytical models.
- Business Analysts: To translate data into easy-to-understand reports for stakeholders.
Notably, SAS Viya is fully integrated with the Microsoft ecosystem—such as Microsoft Office, Dynamics, and Power Platforms—facilitating a smooth transition for companies already utilizing these services.
Conclusion
As Bryan Harris, CTO of SAS, stated, “Performance, productivity, and trust are the three primary pillars of an AI platform’s value.” With high-speed computing capabilities, diverse packaging options, and support for various cloud environments (Hybrid/Multi-cloud), SAS Viya is more than just an analytics tool—it is the foundation for any company striving to lead in the era of Artificial Intelligence.
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