What are the benefits of SAS® Viya® data management?
SAS Viya data management helps you access, integrate, prepare, govern and optimize data across cloud, hybrid and on-premises environments. By combining data integration, quality, governance and automation in a unified platform, SAS Viya transforms raw data into trusted, AI-ready assets. The result is data intelligence that supports analytics, AI and confident decision-making.
Data intelligence
Turn raw data into trusted assets ready for analytics, AI and operational decision-making.
Faster outcomes
Automate data preparation and simplify analytics pipelines.
Built-in governance
Enforce compliance and track lineage with embedded policies.
Data quality at scale
Continuously monitor, score and improve accuracy and consistency.
Trust & transparency
Build confidence with ongoing data observability.
What is data intelligence?
Effective data management is the foundation. Data intelligence is the outcome.
Data intelligence results from combining data management, governance and analytics to create trusted, actionable data for AI and decision-making. It adds context, trust and operational readiness so organizations can understand, reuse and act on data with confidence.
SAS Viya delivers data intelligence by sitting on top of existing data platforms, adding governance, orchestration and trust across the data and AI life cycle. Rather than creating another data silo, SAS Viya complements existing data investments and helps organizations operationalize trusted data for analytics, AI and business decisions.
How does SAS Viya solve common data management challenges?
Delivering data intelligence requires more than simply moving and storing data. Organizations need trusted data, strong governance and efficient operations across the data and AI life cycle. SAS Viya helps address the most common challenges that stand between raw data and trusted business outcomes.
Data integration
Challenge:
Siloed, duplicated data slows insights and inflates costs.
Solution:
SAS Viya unifies data across clouds, systems and formats without unnecessary movement, which reduces duplication, accelerates insights and lowers infrastructure costs. By connecting data seamlessly, you can overcome silos and achieve a single, trusted view of your information.
Data quality
Challenge:
Inaccurate or incomplete data undermines trust and decision making.
Solution:
SAS Viya continuously monitors, scores and improves data for accuracy, completeness and consistency. Automated processes identify and correct errors at scale, ensuring that analytics and AI models are always built on reliable, trustworthy data.
Data governance
Challenge:
Regulatory complexity makes data management burdensome, slowing collaboration and innovation.
Solution:
With built-in governance policies, data lineage tracking and embedded compliance, SAS Viya reduces regulatory risk. Governance becomes part of everyday workflows, enabling you to collaborate securely while maintaining transparency and trust across both data and AI models.
DataOps
Challenge:
Manual, fragmented processes slow down data pipelines.
Solution:
SAS Viya automates and orchestrates data workflows to eliminate manual, fragmented processes. This speeds pipeline delivery, reduces errors and frees data teams to focus on higher-value tasks – improving agility and accelerating insights across the business.
AI-ready data
Challenge:
AI fails when built on untrustworthy data.
Solution:
SAS Viya governs and monitors data pipelines so AI models are trained and deployed on high-quality, transparent data. This ensures trustworthy outcomes and prevents AI failure caused by unreliable or incomplete information.
Data fabric
Challenge:
Hybrid and multicloud environments complicate unified data views.
Solution:
SAS Viya provides an intelligent data fabric that integrates data across hybrid and multicloud environments. This unified approach makes data instantly available for analytics and AI, without added complexity or unnecessary cost.
Open data architecture
Challenge:
Closed systems limit flexibility and innovation.
Solution:
SAS Viya uses open standards to integrate seamlessly with modern ecosystems. Whether working with Snowflake, Databricks, Python or Postgres, organizations gain the flexibility to extend, adapt and innovate without being locked into closed systems.
Data lakehouse
Challenge:
Disparate storage and compute layers add complexity and cost.
SAS Viya integrates seamlessly with modern data lakehouse platforms like Databricks, Snowflake and Azure OneLake. It simplifies large-scale data management, streamlines analytics and improves performance across cloud and hybrid environments – reducing complexity while keeping data AI-ready.
Data performance
Challenge:
Slow, inefficient data pipelines reduce AI and analytics speed, driving up cloud costs.
Solution:
SAS Viya boosts performance by processing data where it resides, reducing unnecessary movement. Optimized ingestion, preparation and model execution deliver faster insights, more responsive AI and lower compute costs – at enterprise scale.
How does SAS Viya integrate with my data stack?
SAS Viya connects to cloud, hybrid and on-premises environments, allowing data teams to access, prepare and govern data wherever it resides. Rather than replacing existing data platforms, SAS Viya adds the intelligence layer needed to operationalize trusted data for analytics and AI. Open standards and composable architecture make integration with modern tools and platforms simple, enabling organizations to extend and innovate without vendor lock-in.
Why do more than 80,000 organizations rely on SAS to manage their data?
Organizations across industries use SAS Viya to turn governed data into trusted insights, AI initiatives and operational decisions. These examples show how modern data management delivers real-world data intelligence.
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Posten Bring is streamlining data processing across its logistics operations to enable faster access to trusted, real-time data. By leveraging SAS SpeedyStore, the Scandinavian postal service optimizes its data storage architecture – reducing latency, maximizing system uptime and keeping critical deliveries moving.
United Overseas Bank (UOB) unifies and manages data across 19 countries with SAS, creating a consistent, governed foundation for enterprise analytics and decisioning. By integrating data preparation, quality and governance processes, UOB ensures high-quality, auditable data is always available, enabling faster, more accurate business decisions across the region.
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Lockheed Martin is reaping amazing benefits from using SAS Viya in all processes, particularly in cleaning and aggregating data. And the company is seeing huge time savings and productivity gains. Algorithms are used to clean the data when it comes in, with about 85% being done automatically. This alone saves about 40 hours a month.
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The Abu Dhabi Early Childhood Authority uses SAS advanced analytics and data management capabilities to support child well-being, health and education initiatives. The ECA implemented a series of data integration, data transformation and data quality routines to create cross-sector data marts, which narrow the data to particular groups, allowing the ECA to find critical insights faster.
How does SAS Viya deliver data intelligence?
Data intelligence is achieved when data management, governance and analytics work together to create trusted outcomes. SAS Viya brings these capabilities together in a single platform, helping organizations move from managing data to operationalizing trusted insights and AI at scale.
The following capabilities work together to deliver data intelligence throughout the data and AI life cycle.
Core data solutions packaged with SAS Viya
Accelerate analytics performance
SAS Data Accelerator
Push advanced analytics directly into your database.
Additional data solutions
How to modernize your SAS®9 workflows without starting over
Still using SAS Data Integration Studio or SAS® Enterprise Guide®?
Modernize with confidence on our cloud-native SAS Viya platform, which brings trusted SAS capabilities into a modern, scalable environment without disrupting your existing workflows. Migration is straightforward and low-risk, with automated tools, open integrations and full support for your current SAS code. Modernize at your pace, cut infrastructure costs and accelerate performance while keeping data secure, governed and AI-ready.
Cloud-native scalability
Handle growing data volumes with elastic infrastructure.
Seamless migration
Automated tools and expert guidance simplify the transition.
Open integrations
Connect to modern platforms across cloud, hybrid and on-premises systems.
Cost optimization
Reduce infrastructure expenses while improving analytics performance.
Data & AI readiness
Maintain high-quality, governed and trustworthy data for AI initiatives.
Recommended resources for data management
SAS Data Management frequently asked questions
What is SAS Viya Data Management?
SAS Viya Data Management is a cloud-native platform that connects, prepares, governs and scales data across hybrid and multicloud environments. It turns raw data into trusted, AI-ready assets with automation, governance and built-in performance, enabling faster insights, reliable analytics and confident decision making.
What is data intelligence from SAS Viya, and how does it relate to data management?
Data intelligence from SAS Viya describes how modern data management enables trusted outcomes for analytics and AI. Data management provides the foundation through data access, integration, quality and governance. Data intelligence is the outcome when that data becomes trustworthy, understandable and operationally ready for decision-making at scale. Together, they help organizations deliver trusted analytics, AI and business decisions.
What makes SAS Viya different from other data management platforms?
Unlike point solutions that address only one aspect of data management, SAS Viya brings together data integration, quality, governance and AI readiness in a unified platform. It helps organizations move beyond managing data to creating trusted outcomes for analytics and AI.
How does SAS Viya data management work with modern cloud data platforms?
SAS Viya works alongside modern cloud data platforms, data warehouses and lakehouses. Organizations can access, prepare, govern and analyze data where it resides without replacing existing investments. SAS Viya adds governance, analytics and operational intelligence across the data and AI life cycle.
Can SAS Viya integrate with existing data tools and platforms?
Yes. SAS Viya uses open standards to connect with platforms such as Snowflake, Databricks, PostgreSQL and Python. Its composable architecture enables organizations to extend and modernize existing environments without vendor lock-in.
Does SAS Viya support hybrid and multicloud environments?
Yes. SAS Viya integrates data across cloud, hybrid and on-premises environments, helping organizations maintain a unified, governed view of data while reducing complexity and supporting AI initiatives.
How does SAS Viya improve data quality and trust?
SAS Viya continuously monitors, profiles and improves data quality while embedding governance throughout the data life cycle. This helps ensure data is accurate, consistent, transparent and ready for analytics and AI.
How does SAS Viya embed governance and trust across data management and AI workflows?
Governance, lineage, metadata and policy controls are built directly into SAS Viya. As data moves from access and preparation into analytics, AI and decisioning, governance remains intact, helping organizations maintain transparency, accountability and trust throughout the data and AI life cycle.
How does SAS Viya support AI initiatives?
SAS Viya helps organizations prepare, govern and monitor data pipelines so AI models are built on trusted, high-quality data. Built-in governance, observability and automation support explainable, repeatable and trustworthy AI outcomes.
Why should I modernize from SAS®9 to SAS Viya?
Modernizing to SAS Viya provides cloud-native scalability, open integrations and automated migration tools while supporting existing SAS investments. Organizations can reduce infrastructure costs, improve performance and accelerate AI readiness without disrupting established workflows.
How can SAS Viya help reduce costs while managing data at scale?
SAS Viya helps reduce costs by minimizing unnecessary data movement, automating workflows and optimizing processing across cloud and hybrid environments. Organizations can scale analytics and AI while improving operational efficiency and governance.