SAS defines analytics as “data-driven insight for better decisions.” Popular topics in this section include aspects of data modeling, mining, and forecasting, as well as demonstrations of analytic procedures, such as analysis of variance, logistic regression, mixed models, factor analysis, and time series analyses. Presentations offered include practical applications and results of statistical methods used to analyze data from a variety of fields. |
This section features presentations that focus on the design, development and implementation of SAS products that are jointly integrated as a business solution. These solutions may feature extensive use of metadata, business intelligence approaches, web-enabled applications and/or applications that integrate SAS software products. These presentations may describe an entire application or simply practical techniques used to create an application. |