This page breaks down SAS Forecast Analyst Workbench ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand SAS Forecast Analyst Workbench’s overall reputation. This data-driven overview will show you exactly how SAS Forecast Analyst Workbench is rated - including how it compares to competitors.

SAS Forecast Analyst Workbench's Overall Rating Summary

  • Average Rating:3.9/5
  • Total Reviews:7 reviews
  • Sources:G2
  • Last updated:September 1, 2025

SAS Forecast Analyst Workbench Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
3.9/5
7+ reviews01.09.25

What is SAS Forecast Analyst Workbench?

SAS® Forecast Analyst Workbench creates a demand-driven statistical forecast that automates and manages data exchange among everyone involved in the sales and operations planning (S&OP) process. It provides strong what-if analysis for demand sensing and shaping and helps develop a consensus forecast in support of the S&OP process. The most recent release is SAS Forecast Analyst Workbench 5.4M1, which includes features like scenario analysis, phase-in/phase-out management, and integration with SAS Forecast Studio for creating new models and adding events to shape the forecast.

🤔 SAS Forecast Analyst Workbench vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How many stars is SAS Forecast Analyst Workbench rated?

SAS Forecast Analyst Workbench has an average star rating of 3.9 out of 5 stars based on average of 7 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from SAS Forecast Analyst Workbench public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for SAS Forecast Analyst Workbench is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.