SAS Insight-SAS Data Analytics

Example

Providing syntax examples and optimization tips for data manipulation tasks using SAS DATA step and PROC SQL.

Scenario

A user needs to merge multiple large datasets efficiently while ensuring data integrity. SAS Insight advises on using data indexing and conditional processing to minimize processing time and memory usage.

Example

Guiding through the process of selecting, training, and evaluating machine learning models using SAS procedures like PROC LOGISTIC for logistic regression or PROC HPFOREST for random forests.

Scenario

An organization wants to predict customer churn. SAS Insight assists in identifying relevant predictors, selecting the appropriate model, and interpreting the output to make actionable decisions.

Example

Explaining how to use SAS graphical procedures, such as PROC SGPLOT and PROC SGMAP, for creating compelling data visualizations.

Scenario

A public health researcher needs to visualize the spread of an infectious disease over time across different regions. SAS Insight provides guidance on creating dynamic maps and time-series plots.

Example

Offering insights into using SAS for advanced predictive analytics, including time series analysis with PROC ARIMA and causal impact analysis.

Scenario

A retail company wants to forecast future sales based on historical data and promotional activities. SAS Insight advises on model selection, seasonal adjustment techniques, and result interpretation for effective planning.