---
description: Review of SAS-STAT Software Software: system overview, features, price and cost information. Get free demos and compare to similar programs on Software Advice Ireland.
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title: SAS-STAT Software | Reviews, Pricing & Demos - SoftwareAdvice IE
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# SAS-STAT Software

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> SAS-STAT Software is a comprehensive statistical analysis solution that implements widely used analytical methods. It can help organizations of all types and sizes streamline decision-making with proven, validated models for large data sets. SAS-STAT can be used by business analysts, statisticians, data scientists, researchers, and engineers for several use cases—from improving manufacturing processes to predicting customer behavior. The software includes hundreds of built-in, customizable graphs that deliver a consistent look across analyses.
> 
> Verdict: Rated **4.4/5** by 79 users. Top-rated for **Likelihood to recommend**.

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## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.4/5** | 79 Reviews |
| Ease of Use | 3.6/5 | Based on overall reviews |
| Customer Support | 4.2/5 | Based on overall reviews |
| Value for Money | 3.9/5 | Based on overall reviews |
| Features | 4.5/5 | Based on overall reviews |
| Recommendation percentage | 80% | (8/10 Likelihood to recommend) |

## About the vendor

- **Company**: SAS Institute
- **Founded**: 1976

## Commercial Context

- **Pricing model**: Per Feature (Free Trial)
- **Pricing Details**: Contact SAS Institute for pricing information.
- **Target Audience**: Self Employed, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based, Windows (Desktop)
- **Supported Languages**: English
- **Available Countries**: United States

## Features

- Bayesian Analysis
- Data Clustering
- Data Discovery
- Data Visualisation
- Multivariate Analysis
- Predictive Analytics
- Reporting & Statistics
- Self-service Analytics
- Statistical Simulation
- Survival Analysis

## Category

- [Data Analysis Software](https://www.softwareadvice.ie/directory/535/data-analysis/software)

## Related Categories

- [Data Analysis Software](https://www.softwareadvice.ie/directory/535/data-analysis/software)
- [Statistical Analysis Software](https://www.softwareadvice.ie/directory/4338/statistical-analysis/software)

## Alternatives

1. [MATLAB](https://www.softwareadvice.ie/software/264043/matlab) — 4.6/5 (2090 reviews)
2. [Minitab](https://www.softwareadvice.ie/software/81798/minitab) — 4.5/5 (388 reviews)
3. [IBM SPSS Statistics](https://www.softwareadvice.ie/software/390329/spss) — 4.5/5 (644 reviews)
4. [XLSTAT](https://www.softwareadvice.ie/software/215278/xlstat) — 4.7/5 (398 reviews)
5. [GraphPad Prism](https://www.softwareadvice.ie/software/278478/graphpad-prism) — 4.7/5 (143 reviews)

## Reviews

### "Excellent product" — 5.0/5

> **Ashley** | *21 November 2019* | Insurance | Recommendation rating: 8.0/10
> 
> **Pros**: No limitations on the amount of data to manipulate and once you learn how to use it, it’s very simple. It allows you to manipulate data and simplify it for presentation and research purposes. I love making tables and doing frequencies
> 
> **Cons**: It takes a long time to learn. It’s like a whole different language so patience is needed

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### "Great tool for analyzing big datasets and insuring the accuracy of your resulting" — 5.0/5

> **Verified Reviewer** | *3 February 2023* | Biotechnology | Recommendation rating: 10.0/10
> 
> **Pros**: I love the output style and how the software is insured to produce the best possible output. Additionally, I like the log feature which helps you debug your code. I also like that the syntax is mostly not case sensitive (with the exception of literal strings).
> 
> **Cons**: There is a learning curve to this software regarding the language. But, there are free and affordable modules on the website and at you local library that you can check out to learn how to program in SAS. The software is expensive as well, but for what you get it is work the money.

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### "As a user of many open source alternatives, this felt like a step backwards in many regards." — 3.0/5

> **Verified Reviewer** | *27 July 2018*
> 
> **Pros**: It is reliable and a can handle medium-large datasets without breaking a sweat.  The flow of the SAS scripts is usually straightforward and readable for basic data manipulations. It allows SQL to be embedded which is what I take advantage of in 90% if the code that I write. The documentation online is throrough across the board, especially compared to the scattered nature of documentation for R or Python.
> 
> **Cons**: Rigid structure of the code and requires a lot of bad practices such as copying and pasting code blocks. This leads to thousands of lines being necessary when I could write only hundreds in another language. There may be more efficiencies I could take advantage of, but as an intermediate user I do not have time to learn the intricacies of this tool that is so different than everything else out there. &#10;Also, the high price is causing my organization to shift away from this software, but the pricing structure makes it hard to lower our usage without scrapping it all together.

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### "SAS Review" — 5.0/5

> **Verified Reviewer** | *30 April 2022* | Government Administration | Recommendation rating: 9.0/10
> 
> **Pros**: 1) That the rules are relatively consistent making it easier to learn more and more technical jobs once you've got the basics&#10;2) SAS will make you check you work and has useful error messages and alerts&#10;3)that shear scope of procedures and step options available for data analysis. It offers users numerous back up options if they are not sure how to get one particular procedure to work
> 
> **Cons**: 1) There is a definite learning curve with SAS and it takes time and patience to practice at it. It's worth it but other systems are slightly more intuitive.&#10;2) SAS is not the best when it comes to data visualization tools like bar charts.
> 
> Good. I feel like a learn something new everyday especially when handling data request. Doing the SAS training for certification were also incredibly helpful in expanding my understanding of what all I could do in SAS.

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### "Easy to use and all-in-one analytics software" — 5.0/5

> **Verified Reviewer** | *9 February 2020* | Financial Services | Recommendation rating: 10.0/10
> 
> **Pros**: SAS Enterprise Guide is the tool a data scientist will be able to perform all data preparation and analysis tasks with both hard coding or drag and drop functionalities. Even some forms of models can easily be developed within the tool. On the other hand, SAS Miner is also very useful  for statistical model build. The advantage of all these SAS tools is the visibility of the data from all these tools as they are integrated with each other
> 
> **Cons**: As data science word is evolving in a very fast pace, SAS should also align itself to this world. SAS sometimes stays behind the popular algorithms which could be done with R and Python. I am sure they will also be covered soon within the tools.
> 
> I am developing statistical models for financial industry using SAS. In addition, I am doing portfolio analyses and also model monitoring tasks within the tool

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## Links

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## This page is available in the following languages

| Locale | URL |
| en | <https://www.softwareadvice.com/statistical-analysis/sas-stat-software-profile/> |
| en-AU | <https://www.softwareadvice.com.au/software/390699/sas-stat-software> |
| en-GB | <https://www.softwareadvice.co.uk/software/390699/sas-stat-software> |
| en-IE | <https://www.softwareadvice.ie/software/390699/sas-stat-software> |
| en-NZ | <https://www.softwareadvice.co.nz/software/390699/sas-stat-software> |

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