What is Education Analytical Suite?
The Education Analytical Suite from SAS is a bundle of advanced analytics software designed for teaching and academic research. It includes statistical, forecasting, data management and reporting tools, and is offered under low-cost licensing for educators and academic institutions.
What are the benefits of the Education Analytical Suite?
Key features
State-of-the-art analytics is essential for teaching and academic research. That's why SAS offers the Education Analytical Suite – a bundle of SAS analytical software – at a substantial discount to the academic community.
Statistical capabilities with SAS/STAT® software
Delivers tested and proven techniques – from traditional analysis of variance and linear regression to Bayesian inference and high-performance modeling tools for massive data.
Forecasting & econometrics
Enables modeling, forecasting and simulation using a broad array of econometric, time series and forecasting techniques.
Rule & analytic model management
Includes prepackaged heuristic rules, anomaly detection and predictive models, and lets you create and logically manage business rules, analytic models, alerts and watch lists.
Quality improvement
Goes beyond basic process control to incorporate more advanced statistical analyses for additional insights into processes and product improvements.
Data security
Provides a high degree of control over data security by honoring and augmenting the native security of the target data source.
Data management
Improves performance and reduces network traffic due to the ability to pass database queries, joins and some functions to a target data source for processing.
Data preparation
Cleanses, transforms, analyzes and presents data from diverse data sources in accordance with your established business rules.
Flexible interface options
Web-browser-based SAS Data and AI Studio enables users to easily program in or interact with SAS, building or expanding their skills. SAS Enterprise Guide, a point-and-click, menu- and wizard-driven interface, enables fast-track learning for analyzing data and publishing results.
Included products, solutions & capabilities
- Base SAS® SoftwareUse a flexible, fourth-generation programming language for powerful data access, transformation and reporting.
- SAS/ETS®Model, forecast and simulate business processes using econometric capabilities, time series analysis and time series forecasting.
- SAS/OR®Optimize business processes and address challenges with enhanced operations research methods.
- SAS/QC®전사적 품질 향상을 약속합니다.
- SAS/STAT®광범위한 통계 기능을 활용하여 기업내 데이터 분석 요구 사항을 충족할 수 있습니다.
- SAS® Enterprise Guide®포인트&클릭(point-and-click), 메뉴&위저드(menu-and-wizard) 기반 도구를 이용해 강력한 분석과 리포팅 기능을 이용할 수 있습니다.
- SAS® Data and AI Studio (formerly SAS® Studio)Transform, manage and prepare data for analytics and AI with a modern, code-friendly and visual interface.
- SAS® Data Hub (formerly SAS® Data Explorer)Connect to virtually any data source – cloud, on-premises or hybrid – without complex integration.
- SAS® IML통계 전문가, 프로그래머 및 연구원과 같은 고급 인력들에게 인터랙티브 매트릭스 프로그래밍과 탐구 데이터 분석을 제공합니다.
Separate option
Education Analytical Suite frequently asked questions
What is the Education Analytical Suite?
The SAS Education Analytical Suite is a software bundle that provides advanced analytics tools for academic teaching and research. It includes capabilities for statistics, forecasting, data management and reporting.
Who uses the Education Analytical Suite?
The Education Analytical Suite is used by universities, educators, researchers and students to teach analytics, perform academic research and build real-world data skills.
What tools or software are included in the Education Analytical Suite?
The suite includes SAS/STAT software, SAS/ETS software, SAS Enterprise Guide, SAS Enterprise Miner and data management tools for statistical analysis, forecasting and data preparation.
How is Education Analytical Suite licensed for schools and universities?
SAS offers discounted academic licenses for individual, server or campus-wide use. Institutions can install it in labs, faculty computers or make it available remotely to students.