SAS Analytics Overview
SAS Analytics, particularly highlighted through the SAS Viya platform, is a comprehensive and powerful suite of analytical tools designed to help organizations access, manipulate, analyze, and present complex data in a meaningful and actionable way.
What SAS Analytics Does
SAS Analytics is tailored for data analysts, statisticians, and business users to transform raw data into valuable insights. It integrates various SAS technologies to provide a unified environment for data exploration, statistical analysis, predictive modeling, machine learning, and data visualization. This platform enables users to make data-driven decisions by providing accurate and timely insights.
Key Features and Functionality
Data Access and Integration
SAS Analytics allows users to access data from a wide range of sources, including relational and non-relational databases, PC files, Hadoop, Amazon Redshift, and data warehouse appliances. It provides direct, secure data access with native interfaces and integration standards, ensuring complete, consistent, and up-to-date data for business decisions.
Self-Service Data Preparation
The platform offers an interactive, self-service interface for profiling, cleansing, and blending data. This GUI-based tool enables full integration with the analytics pipeline, provides data lineage with network diagrams, and allows users to reuse, schedule, and monitor jobs.
Advanced Analytics and Machine Learning
SAS Analytics includes advanced analytic capabilities such as predictive modeling, machine learning, and statistical analysis. These tools help businesses forecast trends, predict customer behavior, and assess risks with greater precision. The platform combines data wrangling, exploration, feature engineering, and modern statistical, data mining, and machine learning techniques in a single, scalable in-memory processing environment.
Visual Data Exploration and Insights Deployment
The platform features tools like SAS Visual Analytics and SAS Visual Statistics, which enable users to visualize and discover relevant relationships in their data. Users can create and share interactive reports and dashboards, and use self-service analytics to quickly assess probable outcomes for smarter decisions. It also supports data exploration and information sharing via email, web browser, Microsoft Office, or mobile devices.
Data Visualization and Dashboards
SAS Analytics offers rich data visualization options, including bar charts, scatter plots, heat maps, and geographic maps. Users can combine these visualizations into interactive dashboards that provide a comprehensive view of key performance indicators (KPIs). This helps in real-time monitoring and analysis, streamlining operations and improving customer satisfaction.
Statistical Analysis and Reporting
The platform includes a wide range of statistical methods, updated frequently to reflect the latest methodologies. It provides advanced statistical techniques for assessing quality, processing time-series data, and developing linear and non-linear optimization models. Users can produce repeatable code that is easily documented and verified for compliance.
Cloud and On-Site Deployment
SAS Analytics offers easy, cloud-based access to advanced statistical analysis and reporting applications. It can be deployed both in the cloud and on-site, allowing for flexible and scalable solutions that quickly turn models into business value.
Conclusion
In summary, SAS Analytics through the SAS Viya platform is a robust toolset that empowers organizations to handle complex data analysis, predictive modeling, and data visualization with ease, ensuring that users can make informed, data-driven decisions efficiently.