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SAS Augmented Analytics & Business Intelligence

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  1. Banking and insurance
  2. Healthcare and life sciences
  3. Agriculture, fishing, and forestry

What is SAS Augmented Analytics & Business Intelligence

SAS Augmented Analytics & Business Intelligence is a suite of analytics and BI capabilities delivered through SAS platforms (commonly via SAS Visual Analytics and related SAS Viya services) for reporting, dashboards, and self-service analysis. It supports business analysts, data scientists, and IT teams who need governed access to data, interactive visualization, and advanced analytics in a single environment. The product emphasizes enterprise administration, security, and integration with SAS analytics and model lifecycle tooling. Deployments are typically enterprise-scale and can be implemented on-premises or in cloud environments depending on the SAS platform configuration.

pros

Enterprise governance and administration

The platform provides centralized administration for users, roles, and content, which supports controlled self-service analytics at scale. It is designed to align with enterprise security and compliance needs through managed access controls and auditing options. This governance focus is often a differentiator versus lighter-weight BI tools that prioritize rapid adoption over centralized control.

Integrated advanced analytics workflows

It connects BI and visualization with SAS’s broader analytics capabilities, including statistical methods and machine learning workflows available in the SAS ecosystem. Teams can operationalize insights by moving from descriptive dashboards to more advanced analysis without switching vendors or toolchains. This is useful for organizations that standardize on SAS for both BI and advanced analytics.

Flexible deployment and integration

SAS supports multiple deployment patterns (cloud, on-premises, and hybrid depending on SAS Viya architecture and licensing), which can fit regulated or data-residency-constrained environments. The platform integrates with common enterprise data sources and can sit alongside existing data platforms and warehouses. This flexibility can be important for large organizations with heterogeneous data estates.

cons

Complexity and learning curve

SAS BI and augmented analytics capabilities typically require more setup and platform knowledge than simpler, purely self-service BI products. Users may need training to use the full feature set effectively, especially when combining BI with advanced analytics services. Administration and environment management can also require specialized skills.

Cost and licensing opacity

SAS products are commonly sold through enterprise licensing, and total cost depends on modules, deployment model, and scale. This can make budgeting and like-for-like comparisons harder than tools with straightforward per-user pricing. Smaller teams may find the commercial model less accessible for limited-scope BI needs.

Not a pure security analytics suite

While it can support security dashboards and reporting when connected to security data sources, it is not a dedicated SIEM or purpose-built security analytics platform. Security teams may need additional tooling for real-time detection, alerting, and incident response workflows. As a result, it often serves as a reporting and analytics layer rather than the system of record for security operations.

Plan & Pricing

Plan Price Key features & notes
SAS Viya Custom pricing — request a quote from SAS (no public list price) Core platform for data management, explore & model, deploy insights. Packaged offerings vary by capability.
SAS Viya Advanced Custom pricing — request a quote from SAS (no public list price) Expanded analytics and modeling capabilities (packaged offering).
SAS Viya Enterprise Custom pricing — request a quote from SAS (no public list price) Top-tier Viya offering; includes full capabilities across the analytics life cycle.
SAS Viya Programming Custom pricing — request a quote from SAS (no public list price) Programming-focused offering emphasizing code-based development and advanced analytics.

Seller details

SAS Institute Inc.
Cary, North Carolina, USA
1976
Private
https://www.sas.com/
https://x.com/SASsoftware
https://www.linkedin.com/company/sas/

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