SAS/ETS Time Series Analysis shown on laptop

SAS/ETS® Software

Model, forecast and simulate processes with econometric and time series analysis.

Economic and market conditions, customer demographics, pricing and marketing activities can all affect your organization. Our econometric capabilities, time series analysis and time series forecasting techniques can help you understand those factors and improve your strategic planning.


Analyze the impact of promotions and events.

Determine the effectiveness of promotions and events so you can better allocate marketing dollars in the future. Our advanced time series analysis, time series forecasting and econometric capabilities offer a variety of ways to gauge promotional lift. And the SAS modeling environment has the depth and flexibility to accommodate any business scenario.

Model customer choices and price elasticities.

Get the most out of your marketing efforts by understanding which product features appeal to a particular audience. Modeling customer choices based on their attributes helps improve strategy by predicting customer decisions. By understanding these choices and the factors that influence them, you can adjust marketing strategies or fees to target the right population.

Measure and predict marketing investment activities.

Understand which key business drivers affect consumer demand. Model demand based on marketing or media mix activities that measure the impact of pricing, advertising, in-store merchandising, store distribution, sales promotions and competitive activities. Use simulation and optimization tools to make investments that will drive profitable volume growth.

Model risk factors and predict economic outcomes.

Copula methods and compound distribution modeling let you model multivariate dimensions of risk factors. This is valuable when you have to model many correlated risk factors that are non-normally distributed. SAS/ETS can fit probability distributions for the severity (magnitude) of random events – e.g., the distribution of insurance claims.

Make better staffing decisions.

Forecast demand for services so you can allocate staff resources appropriately. Automatically account for seasonal fluctuations and trends, and select the best method for generating the demand forecasts. Efficient staff allocations enable you to meet customer needs with no wasted resources.

Demos & Screenshots


SAS/ETS shown on laptop
  • High-performance econometrics.
  • Cross-sectional econometric methods.
  • Time series analysis.
  • Panel data econometrics.
  • Time series data tools.
  • Data acquisition tools.

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