---
description: Detaillierte Informationen über SAS-STAT Software zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools dank Capterra Schweiz.
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title: SAS-STAT Software Kosten, Erfahrungen & Bewertungen - Capterra Schweiz 2026
---

Breadcrumb: [Startseite](/) > [Datenanalyse Tools](/directory/31077/data-analysis/software) > [SAS-STAT Software](/software/121765/sas-statistics)

# SAS-STAT Software

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> Statistisches Analysesystem, das Unternehmen eine breite Palette an statistischer Software zur Verfügung stellt, die von der traditionellen Varianzanalyse bis hin zu exakten Methoden und dynamischen Datenvisualisierungstechniken reicht.
> 
> Bewertung: **4.4/5** von 79 Nutzern. Top bewertet für **Weiterempfehlungsquote**.

-----

## Kurzstatistiken und Ratings

| Metrik | Bewertung | Detail |
| **Gesamt** | **4.4/5** | 79 Nutzerbewertungen |
| Bedienkomfort | 3.6/5 | Auf Basis der Gesamtbewertungen |
| Kundenbetreuung | 4.2/5 | Auf Basis der Gesamtbewertungen |
| Preis-Leistungs-Verhältnis | 3.9/5 | Auf Basis der Gesamtbewertungen |
| Funktionen | 4.5/5 | Auf Basis der Gesamtbewertungen |
| Empfehlungsprozentsatz | 80% | (8/10 Weiterempfehlungsquote) |

## Über den Anbieter

- **Unternehmen**: SAS Institute
- **Gegründet**: 1976

## Gewerblicher Kontext

- **Preismodell**:  (Gratis Testen)
- **Zielgruppe**: Selbstständig, 51–200, 201–500, 501–1'000, 1'001–5'000, 5'001–10'000, 10'000+
- **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert, Windows (Desktop)
- **Unterstützte Sprachen**: Englisch
- **Verfügbare Länder**: Vereinigte Staaten

## Funktionen

- Bayessche Analyse
- Berichterstattung und Statistik
- Data Clustering
- Daten-Identifizierung
- Datenvisualisierung
- Multivariate Statistik
- Prädiktive Analytik
- Self-Service-Analysen
- Statistische Simulation
- Überlebensanalyse

## Category

- [Datenanalyse Tools](https://www.capterra.ch/directory/31077/data-analysis/software)

## Ähnliche Kategorien

- [Datenanalyse Tools](https://www.capterra.ch/directory/31077/data-analysis/software)
- [Statistik-Programme](https://www.capterra.ch/directory/30752/statistical-analysis/software)

## Alternativen

1. [Minitab](https://www.capterra.ch/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews)
2. [MATLAB](https://www.capterra.ch/software/125813/matlab) — 4.6/5 (2090 reviews)
3. [IBM SPSS Statistics](https://www.capterra.ch/software/13990/ibm-spss-statistics) — 4.5/5 (644 reviews)
4. [XLSTAT](https://www.capterra.ch/software/119448/xlstat) — 4.7/5 (398 reviews)
5. [Tableau](https://www.capterra.ch/software/77260/tableau) — 4.6/5 (2348 reviews)

## Nutzerbewertungen

### "SAS Review" — 5.0/5

> **Martha Leah** | *11. Oktober 2024* | Öl & Energie | Empfehlungsbewertung: 9.0/10
> 
> **Vorteile**: SAS Institute... Their traners are superb. When I was working with SAS, we were pulling data from many Legacy systems. I fell in love with their Reports. Later, Data Integregation.
> 
> **Nachteile**: I have nothing but praises for SAS. It is that good.
> 
> When I joined the company, there were many systems and different databases to get data from and integrate and provide Reports. SAS made things seemless.

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### "Offers a wide range of tools to analyze statistical analysis like ANOVA, Regression, Correlation." — 4.0/5

> **Md Anisur** | *1. Oktober 2021* | Hochschulbildung | Empfehlungsbewertung: 7.0/10
> 
> **Vorteile**: The effectiveness of the software is out of question. This is a very effective software for all sort of statistical analysis. Linear mixed modelling, ANOVA, Regression and correlation are done easily and effectively by using several SAS procedure (e.g. Proc GLM, Proc Mixed, Proc Glimixed etc.) It also produces graphs and other visual representations of the output.
> 
> **Nachteile**: The lone negative side of this software is that it is very expensive one. Only, institutes with good funds available in hands can have the opportunity to use this exclusive features.
> 
> Analyzing statistical data including complex breeding trial can be performed in SAS but it is expensive option for many researchers.

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### "Great analytics but the age shows" — 3.0/5

> **Verifizierter Rezensent** | *18. Mai 2019* | Hochschulbildung | Empfehlungsbewertung: 8.0/10
> 
> **Vorteile**: This software is very reliable. &#10;There are a lot of analyses that are available in the saved procedures (proc) thus less need for having to code from scratch. &#10;They have good graphing options.&#10;I find the syntax is intuitive because of the amount of actual english words in it so it, similar to sql
> 
> **Nachteile**: Paid software.&#10;Overlapping commands that have different codes but do the same thing.&#10;If you're used to programming in c, this might feel a bit restrictive because of the existing syntax.&#10;If you have questions, your guide will probably come from official documentation only as the community is not very active in online fora.
> 
> If you're familiar with sql, learning the syntax for sas would not be too hard. However, with the number of versions this software has gone through there are a lot of redundant commands. Different codes that are used in different procedures that do the same thing but the developers never bothered removing the older commands which make it feel clunky.&#10;Nonetheless, a reliable statistical software that is powerful and understandable.

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### "Data warehousing and analysis elegant software" — 5.0/5

> **Arpine** | *26. März 2020* | Telekommunikation | Empfehlungsbewertung: 10.0/10
> 
> **Vorteile**: What I like about SAS is that there are no limits  - You want to join 20 tables and filter with 10 parameters? - Go ahead\! You want to merge, transpose and show the sum of just one parameter? Go ahead\! Did not like the interface? Filter out what you need, download it and work in Excel. &#10;In SAS working board you can run several projects, save them and open them later. &#10;SAS has also other components such as Data Miner, Quality Control etc. when facing different business challenges.
> 
> **Nachteile**: Although the interface is user friendly, but if you wish to do the coding, instead of dragging up and down the functions, you will be needing some advanced training. &#10;Another con worth mentioning is that when opening Excel database in SAS, the columns should be examined thoroughly, and type and length of the variable must be predetermined, otherwise the work should be done again.&#10;To Apple lovers - SAS is not compatible with macOS.
> 
> I am working with large databases (several millions of rows with hundreds of columns) almost a year, and I can imagine what I would have done without SAS. It is fast, comprehensive, capacious in comparison with other statistical packages. It handles the data gracefully.

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### "SAS EG v7.1 is a great data analytics tool with Project files to store process flows" — 4.0/5

> **Rohit** | *15. Januar 2019* | Finanzdienstleistungen | Empfehlungsbewertung: 8.0/10
> 
> **Vorteile**: Great UI to aid non-programmers and ability to slice \&amp; dice large data with inbuild query creators makes it easy to use. Macro utility within SAS is a Top feature to deploy recurring codes and everything runs on server data.
> 
> **Nachteile**: With advent of new versions, embedding proc import/export with codes is still a challenge, one needs to do it using wizard which is a manual intervention.
> 
> Overall for Huge data volumes, SAS is one of the best tool for Data Analytics, creating data marts and where specialized layers needs to be build for modelling \&amp; statistical usage. Cost needs to be handled carefully.

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