SAS Institute is present in 20 markets with 58 products. SAS Institute has 1658 reviews with an overall average rating of 4.4.
Analytics and Business Intelligence Platforms
Analytics and business intelligence platforms — enabled by IT and augmented by AI — empower users to model, analyze and share data. Analytics and business intelligence (ABI) platforms enable organizations to understand their data. For example, what are the dimensions of their data — such as product, customer, time, and geography? People need to be able to ask questions about their data (e.g., which customers are likely to churn? Which salespeople are not reaching their quotas?). They need to be able to create measures from their data, such as on-time delivery, accidents in the workplace and customer or employee satisfaction. Organizations need to blend modeled and nonmodeled data to create new data pipelines that can be explored to find anomalies and other insights. ABI platforms make all of this possible.
SAS Institute has 4 products in Analytics and Business Intelligence Platforms market
- 2 more products
Anti Money Laundering (AML) Software
Anti money laundering (AML) is a type of software used in the finance and legal industries, to help companies comply with legal requirements to prevent or report money laundering activities. It helps in identification of individuals or entities involved in illegal activities by screening customer names against global watchlists. It also facilitates faster and more accurate compliance and investigations by tracking and reporting suspicious activities, which ensures adherence to regulatory requirements during audits and inspections. AML software thus helps companies to reduce the risk of fines and penalties, protect their reputation and improve their efficiency.
SAS Institute has 1 product in Anti Money Laundering (AML) Software market
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. These packaged solutions help implement and support the practice of data quality assurance, mostly embedded as part of a broader data and analytics (D&A) strategy. Various existing and upcoming use cases include: 1. Analytics, artificial intelligence and machine learning development 2. Data engineering 3. D&A governance 4. Master data management 5. Operational/transactional data quality
SAS Institute has 4 products in Augmented Data Quality Solutions market
- 2 more products
Customer Relationship Management - Others
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SAS Institute has 1 product in Customer Relationship Management - Others market
Data Integration Tools
Gartner defines data integration as the discipline comprising the architectural patterns, methodologies and tools that allow organizations to achieve consistent access and delivery of data across a wide spectrum of data sources and data types to meet the data consumption requirements of business applications and end users. Data integration tools enable organizations to access, integrate, transform, process and move data that spans various endpoints and across any infrastructure to support their data integration use cases. The market for data integration tools includes vendors that offer a stand-alone software product (or products) to enable the construction and implementation of data access and data delivery infrastructure for a variety of data integration use cases.
SAS Institute has 3 products in Data Integration Tools market
- 1 more product
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 Institute has 2 products in Data Preparation Tools market
Data Science and Machine Learning Platforms
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling that support the independent use by, and collaboration between, data scientists and their business and IT counterparts through all stages of the data science life cycle. These stages include business understanding, data access and preparation, experimentation and model creation, and sharing of insights. They also support machine learning engineering workflows including creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances and/or as a fully managed cloud offering. Data science and machine learning (DSML) platforms are designed to allow a broad range of users to develop and apply a comprehensive set of predictive and prescriptive analytical techniques. Leveraging data from distributed sources, cutting-edge user experience, and native machine learning and generative AI (GenAI) capabilities, these platforms help to augment and automate decision making across an enterprise. They provide a range of proprietary and open-source tools to enable data scientists and domain experts to find patterns in data that can be used to forecast financial metrics, understand customer behavior, predict supply and demand, and many other use cases. Models can be built on all types of data, including tabular, images, video and text for applications that require computer vision or natural language processing.
SAS Institute has 13 products in Data Science and Machine Learning Platforms market
- 11 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 Institute has 1 product in Data Virtualization market
Data and Analytics - Others
Reviews for 'Data and Analytics - Others'
SAS Institute has 13 products in Data and Analytics - Others market
- 11 more products
Data and Analytics Governance Platforms
A D&A governance platform is a set of integrated business capabilities that helps business leaders and users evaluate and implement a diverse set of governance policies and monitor and enforce those policies across their organizations’ business systems. These platforms are unique from data management and discrete governance tools in that data management and such tools focus on policy execution, whereas these platforms are used primarily by business roles — not only or even specifically IT roles.
SAS Institute has 2 products in Data and Analytics Governance Platforms market
ERP and Corporate Management - Others
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SAS Institute has 1 product in ERP and Corporate Management - Others 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 Institute has 1 product in Event Stream Processing market
Financial Planning Software
Gartner defines financial planning software as the key tool that enables organizations to automate and streamline their enterprisewide financial planning processes. The software supports planning, budgeting and forecasting processes by connecting relevant operational and driver data to profit and loss, balance sheet and cash-flow financial statements. Additionally, the software offers enhanced decision support and analytics that can be customized to unique planning requirements. To provide this support, financial planning software offers data integration, data modeling, reporting and workflow capabilities, which all enhance a user’s ability to effectively manage the planning process and their organization’s financial performance.
SAS Institute has 1 product in Financial Planning Software market
Master Data Management Solutions
MDM is a technology-enabled business discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, governance, semantic consistency and accountability of an enterprise’s official shared master data assets. Master data has the lowest number of consistent and uniform sets of identifiers and attributes that uniquely describe the core entities of the enterprise and are used across multiple business processes.
SAS Institute has 1 product in Master Data Management Solutions market
Multichannel Marketing Hubs
Gartner defines multichannel marketing hubs (MMHs) as software applications that orchestrate personalized communications to individuals in common marketing channels. MMHs optimize the timing, format and content of interactions through the analysis of customer data, audience segments and offers. MMHs are foundational for multichannel marketing, customer journey orchestration and next best action programs.
SAS Institute 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 Institute 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 Institute 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 Institute 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 Institute 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 through 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. Organizations use SCP solutions to improve their supply chain planning decisions and reach higher levels of maturity.
SAS Institute has 1 product in Supply Chain Planning Solutions market