SAS Viya Portfolio
SAS Analytics offers a comprehensive Viya Portfolio that provides solutions for organizations in every industry to make smarter, data-driven decisions. With SAS Viya on Azure Marketplace, users can access trusted analytics and AI seamlessly. This helps in leveraging the power of SAS analytics at the click of a button, enabling organizations to gain valuable insights quickly.
Open Source Integration
SAS Analytics also offers open source integration, allowing users to tap into a wide array of analytic methodologies, frameworks, tools, and technologies. By embracing an open analytics platform, organizations can harness the full potential of the ever-changing ecosystem of analytics, empowering them to stay ahead of the curve and adapt to new trends in the industry.
Moving to SAS Viya
Transitioning to SAS Viya enables organizations to take their SAS experience to a cloud-native environment. This transition brings about scalability, cost-effectiveness, increased productivity, and faster innovation. By embracing SAS Viya, organizations can streamline their operations, enhance efficiency, and accelerate their digital transformation journey.
SAS Viya Workbench
The SAS Viya Workbench revolutionizes the way organizations work by offering a cloud-based, on-demand environment for development, modeling, and coding. This environment provides users with the flexibility and agility needed to collaborate, innovate, and create impactful solutions. With SAS Viya Workbench, organizations can boost their productivity and accelerate their time-to-insight.
Offerings & Capabilities
SAS Analytics provides a wide range of offerings and capabilities to address various business needs. From forecasting with SAS Visual Forecasting to optimization with SAS Optimization, decisioning with SAS Intelligent Decisioning, econometrics with SAS Econometrics, text analytics with SAS Visual Text Analytics, event streaming analytics with SAS Event Stream Processing, advanced workload management with SAS Workload Management, real-time distributed database with SAS SingleStore, and data engineering with SAS Data Engineering, organizations can leverage these solutions to drive innovation, optimize operations, and make informed decisions in real-time.
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