SAS Enterprise Guide

Provides an intuitive graphical user interface (GUI) for ease of use, allowing users to perform complex analyses without extensive coding.

Features a menu- and wizard-driven approach that guides users through tasks like data integration, preparation, analytics, and reporting.

Enables users to visually organize and maintain their projects, illustrating the logical steps of data processing and analysis within a diagram.

While GUI-driven, it includes a robust program editor with syntax coloring, code suggestion, autocompletion, integrated syntax help, and support for SAS macros for advanced users.

Offers quick access to common tasks, recently opened items, and learning resources upon launching the application.

Features a modern look with a flexible workspace, including a new "Open Items" pane and the option to choose between light and dark themes.

Allows users to execute multiple SAS programs or tasks concurrently while continuing to work in other parts of SAS Enterprise Guide.

Provides easy access to various data sources, including SAS data sets and external formats like Microsoft Excel, HTML, Access, TXT, CSV, and databases via ODBC/OLE DB.

Empowers users to visually access, manipulate, subset, and join data tables (up to 256 tables) without needing to write SQL code.

Enables the accurate conversion of data formats from source data into the specific formats required for reporting and analysis.

Offers capabilities to restructure and prepare data in a way that facilitates faster and more accurate extraction of insights.

Allows for interactive filtering of information, enabling dynamic analysis and decision-making based on user-defined parameters.

Provides an intuitive interface for organizing and sorting data for clearer viewing and analysis.

Helps users create custom data views, quickly calculate basic statistics and charts for data columns, and integrate these explorations into their projects.

Simplifies program writing by allowing users to drag data set and variable names directly from the Servers pane into their SAS code.

Includes over 100 prebuilt analytical tasks and nearly 90 wizards for common reporting and analytical needs, streamlining workflows.

Offers standard reporting functions such as basic listings, summary statistics, one-way frequencies, correlations, and distribution analysis (both tabular and graphical).

Supports numerous visualization types including area, bar, box, bubble, donut, line, maps, pie, radar, scatter, surface, and contour plots.

Provides various statistical modeling techniques, including ANOVA models (t-test, one-way ANOVA, linear, mixed linear), Regression models (linear, logistic, nonlinear, generalized linear), Multivariate relationship models (cluster, factor, principal components), and Survival analysis.

Includes tools like CDF plots, histograms, P-P plots, probability plots, and Q-Q plots for assessing process capability.

Offers a variety of control charts (e.g., mean and range, individual measurements, p, np, u, c charts) for statistical process control.

Supports various forecasting methods, including data transformation, basic forecasting, ARIMA modeling, and regression analysis with autoregressive errors.

Allows users to drill, dynamically slice, and pivot OLAP data from SAS OLAP Server or third-party vendors, supporting calculations and providing an MDX Viewer/Editor.

Enables distribution of analytical results and interactive content to various destinations, including printers, Microsoft Office documents, and email.

When connected to a SAS 9 environment, users can publish results to the SAS Business Intelligence report/content repository for centralized access.

Facilitates the deployment of dynamic content as stored processes, enhancing report automation and sharing.

Allows users to extend the core functionality by developing and deploying their own customized tasks as wizards.

Results are presented in HTML format by default, with options for customizable styles.

Enables connection to SAS Viya for leveraging its modern cloud-based architecture, scalability, and advanced analytics capabilities.

Delivers optimized performance for analyzing large datasets, utilizing SAS Cloud Analytics Services with SAS Viya and automatically detecting/using grid environments with SAS 9 connections.

Supports configuring process flow branches to run in parallel on different grid nodes for faster execution times.

Provides a centralized system for managing user access to corporate data, ensuring appropriate privileges and data security.

When deployed with SAS Grid Manager, it offers dynamic load balancing, resource assignment, and job prioritization for efficient grid computing.

Features a new user interface for common Git functionalities like cloning, pulling, pushing, and branching, supporting version control for projects and programs.

Offers a wealth of learning materials, including tutorials, e-learning courses, webinars, and access to the SAS Enterprise Guide Support Community.