SAS 9.4 meets the needs of each enterprise, high performance analytics, cloud environment deployment, and standardized data management. Not only does it provide the solution you need, but SAS meets your higher expectations.
Construct
Installation speed is faster than ever. The unified SAS 9.4 platform reduces deployment costs and reduces installation, management, and maintenance time.
simplify
Simplify the user experience—from deployment and management to one-to-one user interaction, eliminating barriers to technology and skill levels, and everyone can get analytics insights from all relevant data.
Innovation
Use discovery and insight analysis to solve problems and drive innovation. SAS 9.4 uses distributed computing and storage technologies as well as open standards. SAS provides developers with a new programming language that analyzes data directly – no matter where it is located.
deploy
The SAS deployment method achieves maximum flexibility. With SAS 9.4, you can install the solution locally, or be hosted by SAS, or you can deploy SAS in a private or public cloud environment.
performance
High-Performance Features After upgrading to SAS 9.4, you get high-performance analytics that split analysis tasks into smaller tasks to increase analysis speed. As your data volume increases and more complex analysis is required, your high-performance code scales automatically so that you can run it in a distributed environment without the need for additional operations.
Tool Library Adds Descriptive Analysis We use scenario analysis and decision trees to enhance SAS visualization analysis to improve prediction accuracy. Interactive decision trees provide extraordinary functionality because they can be visually displayed in advance to give you the most likely things to happen in a matter of seconds.
A new API for sending analysis results anytime, anywhere, facilitates the integration of SAS into business processes. These interfaces help you quickly create analytics applications and deliver the results you need, when you need them. Mobile delivery options make it easy to display SAS data on iPad®, iPhone® and Android tablets.
SAS Scientific Analysis Foundation Pack
Data integration and compliance requirements
In fact, SAS software can be integrated into any computing environment, facilitating unified computing and obtaining a unified view of the data. Analysts can focus on analytics without being plagued by data issues. Moreover, reusable code can be easily converted into documents for easy testing.
Analysis, reporting and visualization, only one vendor
Why do you want to piece together software from different vendors? Using a portfolio of products from one vendor can reduce the cost of licensing, maintenance, training and support, and ensure consistent information across the enterprise.
Use innovative statistical techniques
SAS statistical software has been continuously updated with the latest developments in statistical methods. Moreover, experienced experts and statistics doctors provide you with technical support, and its service level is not common among other software vendors.
Easily create graphs and reports
Create analytical graphics, maps, and tables that can be output in any desired style. Easily create reports in standard office formats such as RTF, PDF, PowerPoint, HTML, and e-book, and read them on iPad® and iPhone®. The results of the analysis can be sent to the places where they are most commonly used.
Features
Powerful fourth-generation programming language (4GL), support for SQL (Structured Query Language)
Read data in any format, any type of file.
A powerful macro language that reduces the amount of programming effort for common analysis tasks.
Can be run interactively or in batch mode.
The PC version includes a wizard-based interface (optional in the server version).
data analysis
A wide range of statistical methods are used to examine relationships in the data, including: analysis of variance.
Mixed model
Bayesian analysis
Post-fitting inference
regression analysis
Category data analysis
Multivariate analysis
subsistence analysis
Psychological measurement analysis
Cluster analysis
Nonparametric analysis
Survey data analysis
Compare data to common distributions
Multiple missing methods for missing values
research plan
Sample size calculation
You can add drill-down capabilities, even drill down in GIF graphics, allowing users to visually explore and analyze.
Visualization, presentation and delivery of data
Built-in map dataset (refinement to various states in the United States).
Rich graphics and charts:
Scatter plot, line graph, area graph, bubble graph, multi-axis graph, overlay graph.
Bar chart, pie chart, ring chart, star chart, block chart.
Customize with different colors, lines and symbol types.
Two-dimensional and three-dimensional coordinates that can be tilted and rotated.
Alpha transparency is supported on the chart.
Anti-aliasing, which allows you to draw smoother lines.
Generate static images, or dynamic interactive (Java or ActiveX) charts and graphs that provide drill-through functionality.
Link the graphic to a web page.
Embed interactive graphics into web pages and Microsoft Office documents. .
Supports all common printers and plotters.
Display graphics, data, tables, and all outputable items in the same HTML page.
SAS data management
Every decision, every business activity, every successful customer interaction comes from high quality and well integrated data. Without this ability, you can't succeed. SAS Data Management is an industry-leading solution built on a data quality platform to help you improve, integrate and manage your data.
Promote productivity and make work more efficient
Regardless of the system in which your data is stored, from traditional systems to Hadoop, SAS data management can help you access the data you need. Once you've created data management rules, you can use them over and over again. SAS Data Management gives you a standard, reproducible way to improve and consolidate your data without additional cost.
Easy to work with other teams
As an IT expert, it is easy to get caught up in tasks outside of normal responsibilities. SAS data management allows business users within your organization to update data, adjust processes and analyze results, increase collaboration, and free you from other things.
A complete and seamless technology to lay the foundation for data
SAS data management technology is a truly integrated technology, which means that you are not using a patchwork solution. All of our components, from data quality to data federation technology, are part of a unified architecture.
Make sure the data is reliable and ready for action
At SAS, we want to make sure that the data is ready for analysis or operation. So we improve data quality, data transparency and data reliability. Our built-in auditing tools can monitor and process. The pedigree analysis of the source data helps you understand that your data is needed for analysis and is ready for analysis.
Integrate, manage, and control big data from Hadoop
Since many organizations put more data into Hadoop, you need to get value from that information. We provide you with fast and easy access to Hadoop data, allowing you to add big data to your existing IT processing. Moreover, with the conversion of MapReduce, Pig and Hive, you can manage big data that exists anywhere.
Features
A development environment uses an intuitive, role-based graphical user interface to manage data processing, provide drag-and-drop functionality, source system access, and a customizable metadata tree.
The integrated process design uses a visual end-to-end event designer to build and edit data management processes.
Superior connectivity and data access SAS data management enables more data sources to be linked on more platforms in real time or in batches than other solutions.
Data Extraction, Transformation, and Loading (ETL) supports ELT with out-of-the-box SQL-based data transformation for greater flexibility.
Data federation provides virtual access to multiple database structures, enterprise applications, host legacy files, text, XML, message queues, and other sources.
Data Migration and Synchronization You can migrate and synchronize data between multiple databases, enterprise applications, host legacy files, text, XML, message queues, and other sources.
Message Queuing integrates asynchronous business processes through message-based connections.
Enhance management and monitoring of metrics that track job status and performance reports and trending information.
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