SAS Viya

623 reviews

As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.

SAS Visual Analytics

208 reviews

SAS Visual Analytics is our flagship offering for self-service data preparation, visual discovery, interactive reporting, and dashboards--as well as easy-to-use analytics--with governance. SAS Visual Analytics allows non-technical users to create, share and execute BI and Analytics workflows for interactive reporting and free-form exploration. The primary functional components supported by SAS Visual Analytics are: Self-service Data Preparation, Data Exploration and Analytics including Augmented Analytics, Interactive Reporting, Location Analytics, Conversational AI through chatbots on SAS Conversation Designer, Automated Explanation using Natural Language, and Outlier Detection and Data Explain for report consumers. SAS Visual Analytics supports sharing and collaboration of insights to decision makers as they make collective decisions as part of their tasks or process or jobs. The goal is for everybody to take decisive action and stay agile as market conditions change and business needs demand a quick response.

SAS Enterprise Miner

192 reviews

SAS Enterprise Miner is a comprehensive data mining and predictive analytics software designed to streamline the process of developing descriptive and predictive models. It enables users to analyze vast amounts of data efficiently, uncovering patterns and relationships that inform better decision-making. With an intuitive graphical user interface, SAS Enterprise Miner facilitates the entire data mining process, from data preparation to model assessment, making advanced analytics accessible to both technical and non-technical users. Key Features and Functionality: - User-Friendly Interface: An interactive GUI allows users to build process flow diagrams, simplifying the modeling process. - Advanced Data Preparation: Tools for handling missing values, filtering outliers, and performing data transformations enhance data quality. - Diverse Modeling Techniques: Supports a wide range of algorithms, including decision trees, neural networks, and regression models, catering to various analytical needs. - Open Source Integration: Seamless integration with R enables users to perform data transformations and model training within the platform. - High-Performance Capabilities: Incorporates high-performance data mining nodes to boost processing efficiency. - Automated Scoring: Generates score code in multiple languages (SAS, C, Java, PMML) for deployment across various environments. - Model Comparison and Management: Features for comparing multiple models using lift curves and statistical diagnostics to identify the best-performing models. Primary Value and Solutions Provided: SAS Enterprise Miner empowers organizations to harness the full potential of their data by providing a robust platform for developing accurate predictive models. It addresses challenges such as fraud detection, risk minimization, resource demand forecasting, and customer attrition reduction. By automating and simplifying complex data mining tasks, it enables users to make informed, data-driven decisions, ultimately enhancing operational efficiency and competitive advantage.

SAS Customer Intelligence 360

133 reviews

Generate business value quickly with 360-degree customer data views, segments, reports and models.

Base SAS

124 reviews

Base SAS is a comprehensive software suite that provides a flexible and extensible fourth-generation programming language (4GL) designed for data access, transformation, analysis, and reporting. It serves as the foundation of the SAS System, enabling users to manage and analyze data efficiently across various platforms. With its intuitive syntax and extensive library of prewritten procedures, Base SAS simplifies complex data tasks, making it an essential tool for data professionals. Key Features and Functionality: - Intuitive 4GL Programming Language: Offers an easy-to-learn syntax with hundreds of language elements and functions, supporting tasks from data extraction and cleansing to reporting and information delivery. - Rich Library of Integrated Procedures: Provides prewritten procedures for data manipulation, management, information storage, retrieval, and report writing, enhancing productivity by reducing the need for extensive coding. - Powerful Data Analysis Tools: Capable of performing a wide range of analyses, from simple descriptive statistics to advanced data correlation and distribution analysis. - Cross-Platform Support: Runs on all major computing platforms, allowing seamless integration into any computing environment and ensuring code portability across different systems. - Web-Based Interface: Includes SAS Studio, a web-based developer interface that enables access to data files, libraries, and existing programs from any device with a web browser, facilitating coding and data management tasks. Primary Value and Solutions Provided: Base SAS significantly reduces programming and maintenance time by offering an intuitive programming language and a comprehensive set of tools for data management and analysis. It enables organizations to integrate data across diverse environments, ensuring a unified view of information. The software simplifies the creation and distribution of visually appealing reports in various formats, including Microsoft Excel, PowerPoint, PDF, and HTML, catering to the preferred platforms of decision-makers. By providing a robust and scalable solution, Base SAS addresses the challenges of complex data manipulation and reporting, empowering users to derive meaningful insights and make informed decisions.

SAS Data Management

99 reviews

SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables users to access data from various sources, create rules, collaborate with teams, and manage metadata, thereby preparing data for analytics and informed decision-making. Key Features and Functionality: - Data Access and Integration: Seamlessly access data from diverse sources, including legacy systems and modern platforms like Hadoop, ensuring comprehensive data integration. - Data Quality and Cleansing: Utilize embedded tools to automatically identify and rectify data quality issues, reducing errors and inconsistencies. - Data Preparation: Prepare data for analytics and reporting in a self-service environment without the need for coding or IT assistance, enhancing productivity. - Data Governance: Implement consistent policies and processes to ensure data conforms to established standards and regulatory requirements. - Personal Data Protection: Identify and monitor personal data sources to comply with privacy regulations such as GDPR. - Data Federation and Stewardship: Simplify data integration complexities with a virtual data environment that delivers a complete data picture in a user-friendly format. Primary Value and Solutions Provided: SAS Data Management addresses the critical need for organizations to manage their data effectively, turning it into a strategic asset. By providing a unified platform for data access, integration, quality, governance, and master data management, it eliminates the need for multiple, overlapping tools. This consolidation leads to improved data accuracy, streamlined operations, and enhanced decision-making capabilities. Organizations can ensure that all internal and third-party data remains clean and well-managed, facilitating compliance with regulatory standards and enabling more efficient and effective business processes.

SAS Enterprise Guide

92 reviews

SAS Enterprise Guide is a Windows-based client application that provides a user-friendly, point-and-click interface to the powerful analytics capabilities of SAS software. Designed to cater to both novice and experienced users, it facilitates data access, management, analysis, and reporting without the need for extensive programming knowledge. By integrating a wide array of analytical tasks with an intuitive graphical interface, SAS Enterprise Guide empowers users to efficiently conduct complex analyses and share results across their organization. Key Features and Functionality: - Intuitive Interface and Wizards: Offers guided access to SAS capabilities, from basic reporting to advanced analyses, through flexible wizards and an intuitive process flow diagram facility. - Comprehensive Analytical Tasks: Includes over 100 prebuilt tasks for descriptive statistics, predictive modeling, regression analysis, and more, enabling users to perform complex analyses without writing code. - Data Management: Provides a powerful graphical query builder for accessing and manipulating various data types, including SAS datasets and native Windows data types, without requiring SQL expertise. - OLAP Access and Visualization: Supports dynamic slicing, drilling, and pivoting of data for exploration, with integration capabilities for SAS OLAP Server and other third-party vendors supporting OLE DB for OLAP. - Result Distribution and Sharing: Facilitates the distribution of results through multiple channels, including SAS BI report/content repository, Microsoft Office documents, and email, ensuring seamless sharing and collaboration. - High-Performance Computing and Grid Enablement: Automatically detects grid environments for efficient processing, analyzes SAS programs to optimize performance, and enables parallel execution of tasks on the same server. Primary Value and User Solutions: SAS Enterprise Guide addresses the need for a self-service analytics environment that empowers business analysts and other users to perform sophisticated data analyses without relying heavily on IT departments. By providing guided access to data integration, preparation, analytics, and reporting, it enables users to quickly access data, conduct analyses, and distribute results, thereby accelerating decision-making processes. The integration with SAS Viya further enhances its capabilities, allowing users to leverage modern, cloud-based platforms for scalable and efficient analytics. This comprehensive toolset ultimately helps organizations harness their data effectively, leading to more informed business decisions and improved operational efficiency.

SAS Risk Management

89 reviews

SAS Risk Management is a comprehensive solution designed to help financial institutions and enterprises effectively identify, assess, and manage various types of risks, including credit, market, and operational risks. By leveraging advanced analytics and machine learning, it enables organizations to anticipate potential risks, conduct dynamic stress testing, and ensure regulatory compliance, thereby enhancing decision-making processes and overall risk mitigation strategies. Key Features and Functionality: - Advanced Predictive Analytics: Utilizes sophisticated algorithms and machine learning models to forecast potential risks, allowing for proactive risk management. - Comprehensive Risk Assessment: Offers tools to evaluate multiple risk factors across different levels, integrating both internal and external data sources for precise assessments. - Dynamic Stress Testing: Simulates various stress scenarios to test financial systems against extreme market conditions, aiding in strategic planning and preparedness. - Integrated Reporting and Compliance: Automates reporting processes, maintains comprehensive audit trails, and ensures adherence to current regulatory standards. Primary Value and Problem Solved: SAS Risk Management addresses the critical need for organizations to manage financial risks effectively. By providing a unified platform that combines predictive analytics, risk assessment, stress testing, and compliance reporting, it empowers businesses to make informed decisions, reduce potential losses, and maintain regulatory compliance. This holistic approach not only enhances operational efficiency but also strengthens the organization's ability to navigate complex and evolving risk landscapes.

SAS Visual Data Mining and Machine Learning

85 reviews

SAS Visual Data Mining and Machine Learning supports the end-to-end data mining and machine-learning process with a comprehensive, visual (and programming) interface that handles all tasks in the analytical life cycle. It suits a variety of users and there is no application switching. From data management to model development and deployment, everyone works in the same, integrated environment.