SAS is present in 25 markets with 67 products. SAS has 2372 reviews with an overall average rating of 4.5.
Analytics and Business Intelligence Platforms
Gartner defines analytics and business intelligence platforms (ABI) as those that enable organizations to model, analyze and visualize data to support informed decision making and value creation. These platforms facilitate the preparation of data and the creation of interactive dashboards, reports and visualizations to uncover patterns, predict trends and optimize operations. By doing so, they empower users to collaborate and effectively communicate the dimensions and measures that drive their organization. The platforms may also optionally include the ability to create, modify or enrich a semantic model, including business rules. Analytics and business intelligence platforms integrate data from multiple sources, such as databases, spreadsheets, cloud services and external data feeds, to provide a unified view of data, breaking down silos and transforming raw data into meaningful insights. They also allow users to clean, transform and prepare data for analysis, in addition to creating data models that define relationships between different data entities.
SAS has 4 products in Analytics and Business Intelligence Platforms market
- 2 more products
Anti-Money Laundering
Gartner defines the anti-money-laundering (AML) solutions market as the IT systems used to comply with the set of regulations, policies, and procedures designed to detect, prevent, and report those financial crimes that are associated with money laundering. Money laundering is the process used by criminals and criminal organizations to disguise illicitly obtained funds as legitimate revenue through the use of payments and funds transfers that exploit “money mules” and shell/holding companies. AML tools aim to prevent bad actors gaining benefits from their illegal activities and to combat crimes such as drug trafficking, tax evasion and human slavery.
SAS has 3 products in Anti-Money Laundering market
- 1 more product
Augmented Data Quality Solutions
Gartner defines augmented data quality (ADQ) solutions as a set of capabilities for enhanced data quality experience aimed at improving insight discovery, next-best-action suggestions and process automation by leveraging AI/machine learning (ML) features, graph analysis and metadata analytics. Each of these technologies can work independently, or cooperatively, to create network effects that can be used to increase automation and effectiveness across a broad range of data quality use cases. These purpose-built solutions include a range of functions such as profiling and monitoring; data transformation; rule discovery and creation; matching, linking and merging; active metadata support; data remediation and role-based usability.
SAS has 5 products in Augmented Data Quality Solutions market
- 3 more products
Balance Sheet Management Software
Balance sheet management software is a specialized tool designed to help organizations efficiently manage and analyze their financial statements. It automates the process of tracking assets, liabilities, and equity, ensuring accurate and up-to-date financial reporting. This software provides features such as real-time data integration, financial forecasting, and compliance with accounting standards. By offering detailed insights and analytics, it aids in strategic decision-making, risk management, and maintaining financial stability. Overall, balance sheet management software enhances the accuracy, efficiency, and transparency of financial operations within an organization.
SAS has 1 product in Balance Sheet Management Software market
Data Integration Tools
The market for data integration tools consists of stand-alone software products that enable organizations to combine data from multiple sources and perform tasks related to data access, transformation, enrichment and delivery. They enable use cases such as data engineering, delivering modern data architectures, self-service data integration, operational data integration and supporting AI projects. Data management leaders procure data integration tools for their teams, including data engineers and data architects, or for other users, such as business analysts or data scientists. These products are primarily consumed as SaaS or deployed on-premises, in public or private cloud, or in hybrid configurations.
SAS has 4 products in Data Integration Tools market
- 2 more products
Data Preparation Tools
Data preparation is an iterative and agile process for finding, combining, cleaning, transforming and sharing curated datasets for various data and analytics use cases including analytics/business intelligence (BI), data science/machine learning (ML) and self-service data integration. Data preparation tools promise faster time to delivery of integrated and curated data by allowing business users including analysts, citizen integrators, data engineers and citizen data scientists to integrate internal and external datasets for their use cases. Furthermore, they allow users to identify anomalies and patterns and improve and review the data quality of their findings in a repeatable fashion. Some tools embed ML algorithms that augment and, in some cases, completely automate certain repeatable and mundane data preparation tasks. Reduced time to delivery of data and insight is at the heart of this market.
SAS has 2 products in Data Preparation Tools market
Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering.
SAS has 12 products in Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning) market
- 10 more products
Data Virtualization
Data virtualization technology is based on the execution of distributed data management processing, primarily for queries, against multiple heterogeneous data sources, and federation of query results into virtual views. This is followed by the consumption of these virtual views by applications, query/reporting tools, message-oriented middleware or other data management infrastructure components. Data virtualization can be used to create virtualized and integrated views of data in-memory, rather than executing data movement and physically storing integrated views in a target data structure. It provides a layer of abstraction above the physical implementation of data, to simplify querying logic.
SAS has 1 product in Data Virtualization market
Data and Analytics
Data and Analytics refers to products and services that enable organizations to collect, integrate, analyze, and act on data to drive informed decision-making and business outcomes. This category includes markets that focus on empowering enterprises to manage data pipelines, ensure data quality and governance, extract insights through advanced analytics, and machine learning across structured and unstructured data environments.
SAS has 15 products in Data and Analytics market
- 13 more products
Data and Analytics Governance Platforms
A data and analytics governance platform is a set of integrated business and technology capabilities that help business leaders and users develop and manage a diverse set of governance policies and enforce those policies across business and data management systems. These platforms are unique from data management in that data management focuses on policy execution, whereas D&A platforms are used primarily by business roles — not only or even specifically IT roles — for policy management. Data and analytics (D&A) leaders who are investing in operationalizing and automating the work of D&A governance should evaluate this market. The work of D&A governance primarily includes policy setting and policy enforcement, and collaborates with data management (policy execution). Use cases are employed across numerous governance policy categories and multiple business scenarios and asset types (data, KPIs, analytics models). The intersection of use-case/business scenarios, policy categories and assets to be governed is then used to identify the technology capability. These capabilities may share similar names across policy categories, but may not mean the same thing, or may be used differently by various governance personas. For example, data classification in a data security implementation would be quite different from a data classification effort for creating trust models, which would be based on lineage and curation.
SAS has 1 product in Data and Analytics Governance Platforms market
Decision Intelligence Platforms
Gartner defines decision intelligence platforms (DIPs) as software to create decision-centric solutions that support, augment and automate decision making of humans or machines, powered by the composition of data, analytics, knowledge and AI. DIPs enable enterprises to collaboratively design and explicitly model decisions, orchestrate decision flow during execution at scale, and enable monitoring and governance of decision quality, while learning from actions and outcomes. Features can include a combination of rule- and logic-based techniques, machine learning, real-time event stream processing, business intelligence, multimodal data and analytics preparation, natural language, graph technology, optimization, simulation or AI agents for decision intelligence. DIPs provide a solution to enhance how organizations make decisions, whether by humans or machines, individually or collectively. They address the growing challenge of making timely and accurate decisions in volatile, uncertain, complex and ambiguous ecosystems, for more demanding customers in disruptive, competitive and regulated markets. DIPs help by creating executable decision models that improve decision service composition and all-source intelligence to achieve better situational awareness, better recommendations or autonomous actions, tailored to specific decisions and outcomes. They can reduce the risk of poor decisions, allow organizations to anticipate change and respond more swiftly to opportunities at scale.
SAS has 1 product in Decision Intelligence Platforms market
Event Stream Processing
The market for ESP platforms consists of software subsystems that perform real-time computation on streaming event data. They execute calculations on unbounded input data continuously as it arrives, enabling immediate responses to current situations and/or storing results in files, object stores or other databases for later use. Examples of input data include clickstreams; copies of business transactions or database updates; social media posts; market data feeds; images; and sensor data from physical assets, such as mobile devices, machines and vehicles.
SAS has 1 product in Event Stream Processing market
Finance
Finance refers to the products and services that support the planning, management, analysis, and optimization of financial operations across enterprises and financial institutions. This category includes markets that support core accounting, financial planning, treasury, tax, audit, compliance, investment management, and digital banking—enabling organizations to maintain financial integrity and ensure regulatory compliance.
SAS has 1 product in Finance market
Financial Planning Software
Gartner defines financial planning software (FPS) as the key tool that enables data-driven financial resource allocation, investment and spending decisions by supporting effective planning, budgeting and forecasting processes. FPS enables organizations to link their strategies to financial and operational plans through cloud-based software. It facilitates the creation and management of financial plans, budgets and forecasts by breaking down information silos and integrating operational KPIs. FPS analytics and reporting features offer a holistic performance view, connecting both operational (nonfinancial) and financial metrics, enabling stakeholders to make data-driven decisions.
SAS has 1 product in Financial Planning Software market
Generative AI Engineering
Generative AI (GenAI) engineering refers to the field of engineering that focuses on the development, implementation and optimization of generative AI models. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. By developing GenAI models, engineers can create new and innovative ways to generate content. The vendors in this segment are made up by incumbent and startup vendors covering full-model life cycle management, specifically adjusted to and catering to development, refinement and deployment of generative models (e.g., LLMs) and other GenAI artifacts in production applications. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
SAS has 1 product in Generative AI Engineering market
IT Security
IT Security refers to products and services that protect digital systems and data from cyber threats and unauthorized access. This category includes markets that focus on network security, identity management, data protection, and cloud security, enabling organizations to reduce risk, ensure compliance, and operate securely in a digital world.
SAS has 1 product in IT Security market
Marketing
Marketing refers to the products and services that enable organizations to plan, execute, measure, and optimize strategies for attracting, engaging, and retaining customers across digital and physical channels. This category includes markets that support content creation, campaign management, data-driven personalization, performance analytics and brand strategy—empowering businesses to deliver targeted, measurable, and customer-centric marketing experiences.
SAS has 1 product in Marketing market
Master Data Management Solutions
Master data management (MDM) is a technology-enabled business discipline where business and IT organizations work together for the uniformity, accuracy, stewardship, semantic consistency and accountability of enterprises’ shared master data assets. Organizations use MDM solutions as part of an MDM strategy, which should be part of a wider enterprise information management (EIM) strategy. An MDM strategy potentially encompasses management of multiple master data domains (e.g., customer, citizen, product, “thing,” asset, person/party, supplier, location, and financial master data domains). Data and analytics (D&A) leaders procure MDM tools for data engineers or less-technical users, such as data stewards.
SAS has 1 product in Master Data Management Solutions market
Metadata Management Solutions
Gartner defines metadata management solutions as applications to enable the collection, analysis and orchestration of metadata related to organizational data assets. These solutions enable workflow and operational support to make data easy to find, use and manage. They do this by collating metadata in any form from within its own application and third-party systems, and providing the ability to search, analyze and make decisions on the collated results. They also provide transparent cross-referencing over all related metadata, and derive insights from data (such as usage patterns and performance) through analysis of metadata to support a wide range of data-driven initiatives.
SAS has 1 product in Metadata Management Solutions market
Multichannel Marketing Hubs
Gartner defines multichannel marketing hubs (MMHs) as software applications, primarily delivered as SaaS, that orchestrate personalized campaigns and event-driven customer journeys across marketing channels. These applications leverage customer data, predictive models and real-time insights to optimize the timing, channel and content of interactions. MMHs apply advanced analytics, AI and prescriptive intelligence to help marketing and technical teams manage the end-to-end life cycle of customer journeys. Although MMHs overlap with customer data platforms (CDPs) and personalization engines, their primary focus is enabling marketing users to manage large-scale consumer interactions, particularly in owned media channels such as email and app push. Multichannel marketing hubs empower marketers to deliver personalized media and orchestrate customer journeys, thus driving revenue, engagement and loyalty. These SaaS applications unify customer data, predictive insights and real-time decision making to optimize interactions across digital channels. MMHs enable multidisciplinary teams to manage campaigns and event-driven journeys via advanced analytics, artificial intelligence/machine learning (AI/ML) and prescriptive intelligence.
SAS has 3 products in Multichannel Marketing Hubs market
- 1 more product
Online Fraud Detection
Gartner defines the OFD market as the market for solutions that detect and prevent fraudulent actions within digital channels (browsers and mobile apps). OFD solutions provide a spectrum of capabilities within digital channels to prevent direct and indirect financial losses and to mitigate risks. Their core capabilities: Mitigate the activity of malicious automated bots; Detect account takeover (ATO) attacks and trigger remedial actions; Detect fraudulent activity in high-risk events along the digital customer journey, such as when customers make payments, transfer funds, perform account management actions or access personally identifiable information (PII).
SAS has 2 products in Online Fraud Detection market
Predictive Analytics Software
Predictive analytics software uses advanced analytics capabilities to analyze current and historical data to make predictions about future events. This software connects data from different data sources and employs techniques like data mining and statistical analysis to forecast future trends, detect patterns, identify potential risks and opportunities, and plan for the best possible outcome. As a result, organizations can make better business decisions with machine-generated analytics, visualization, and reporting on predictive insights. These can be used in a wide range of industries, including healthcare, finance, marketing, and manufacturing.
SAS has 1 product in Predictive Analytics Software market
Retail Assortment Management Applications: Long Life Cycle Products
Retail assortment management applications (RAMAs) are a foundational component of modern category management solutions for long life cycle products. Using data & analytics and AI technology, RAMAs can curate targeted assortments to create compelling customer experiences, leading to an increase in sales conversion. Long life cycle products in retail include categories such as grocery, consumables and hard goods. The long life cycle retailers’ traditionally broad approach to assortments is not satisfying customers’ demands for more curated assortments to match their lifestyles. Local trends mean that even more granular store-specific assortments are necessary. Advanced analytics, algorithms, AI and automation will play pivotal roles in driving this transformation through better customer understanding and alignment.
SAS has 2 products in Retail Assortment Management Applications: Long Life Cycle Products market
Retail Assortment Management Applications: Short Life Cycle Products
Retail assortment management applications are foundational for modernizing merchandising processes as part of a digital business transformation strategy in unified retail commerce. The demand for these products is based on the item being on trend, seasonal or in fashion and, following maturity, demand will decline. Customers are increasingly becoming frustrated by wide assortments of excessive products that are prone to stock-out gaps, especially within short life cycle retailing with the proliferation of stock-keeping units (SKUs). They are now expecting retailers to provide an editing service to pare down item choices to those that are relevant to their lifestyles. Intelligent curation of assortments is enabling fashion retailers to present a reduced, but more targeted, assortment of styles and colors that are less confusing and are more in line with consumers’ values. This will translate to a boost in sales and profit margins, a decrease in end-of-season markdowns and reduction in waste.
SAS has 1 product in Retail Assortment Management Applications: Short Life Cycle Products market
Supply Chain Planning Solutions
Gartner defines supply chain planning (SCP) solutions as platforms that provide technological support to enable a company to manage, link, align, collaborate and share its planning data across an extended supply chain. An SCP solution supports planning, ranging from demand planning through detailed supply-side response planning, and from strategic planning to execution-level planning. It is the planning decision repository for a defined end-to-end supply chain. It is also the environment in which end-to-end-integrated supply chain decisions are managed. It establishes a single version of the truth for planning data and decisions, regardless of the underlying execution technology environment.
SAS has 1 product in Supply Chain Planning Solutions market