Durchschnittliche Bewertung52 Bewertungen
- Gesamt 4.5 / 5
- Benutzerfreundlichkeit 3.5 / 5
- Kundenservice 4 / 5
- Funktionen 4.5 / 5
- Preis-Leistungs-Verhältnis 3.5 / 5
- Kostenlose Testversion Nein
Angaben zum Hersteller
- SAS Institute
- Gegründet 1976
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.
- Prädiktive Analytik
- Statistische Modellierung
- Verarbeitung von hohen Volumen
Die hilfreichsten Reviews für SAS/STAT
Bewertet am 1.2.2018
Quality software for a premium.
Vorteile: I use the software to accomplish 80% of my duties so I may be a bit biased. The software is extremely flexible allowing you solve many problems using its predefined processes and functions. It can be used to solve many types of reporting problems. It has built in solutions to many common and uncommon statistical and business problems. It has a variety of interfaces that are available to clients, depending on what a user needs they might choose to use different tools that are available to them. The whole suite is actually quite large and most users will only ever touch the parts of it that helps them accomplish their goals. The SAS eco-system is extensive, mature and well-developed. We rely on it for many mission critical solutions.
Nachteile: Often times the various prebuilt processes have their own syntax and they are not consistent throughout the application. The software package is not cheap.
Bewertet am 7.4.2018
Excellent statistical analysis software, but be prepared to pay!
Vorteile: SAS 9.3 gives you tremendous power to clean, manipulate, and analyze large datasets. I've been a SAS user for a while and prior to that I had only worked with SPSS. SAS opened the door for me to think about my data differently. I've used SAS now on criminal sentencing data, healthcare claims data, and operational case management data. Whether you need to create an automated report, write algorithms to mine data, or prep a dataset for another software like Tableau, SAS is a fantstic tool. Additionally, SAS has a litany of trainings available for purchase to help you get the most of your data.
Nachteile: SAS is very costly. It's important to keep in mind that in addition to being a product, SAS is also a programming language that as of writing is not patented. If you are on a budget there is a company out of the UK that sells a software that runs Base SAS programming language for a fraction of a price, great for outfitting a startup team. SAS Graph module leaves something to be desired, there are better softwares that focus on just visualization.
Bewertet am 4.3.2019
The original power statistical tool
Kommentare: Use it just for the sheer power. Quite expensive licenses and there are certainly better and faster packages available. Its just that migrating system from a foolproof and proven system just seems too much of work. Hope they up their game plan soon or soon, it might be time to make the plunge.
Very powerful. You want it and you can do it. Quite intuitive programming.
Has multiple ways to integrate with other packages for data exchange.
Has a reasonably versatile scalablity.
Its aged. Much slower than some of the latest products in the market.
Syntax while not complex can hardly be described intuitive
Interface seems at least a couple of decades old.
Bewertet am 15.1.2019
SAS EG v7.1 is a great data analytics tool with Project files to store process flows
Kommentare: 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 & statistical usage. Cost needs to be handled carefully.
Vorteile: Great UI to aid non-programmers and ability to slice & 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.
Bewertet am 1.6.2019
My go-to Statistical software
Vorteile: What I love about SAS are syntax consistency and standardized functions. SAS as an institute has been doing a great job at maintaining the software and providing great experiences to its users. Whenever I face an error, the message often tells me what to fix exactly whereas other programming languages like R doesn't - it's extremely annoying and time-consuming.
Nachteile: One thing SAS lacks - perhaps it's just because of the nature of the software - is its visualization capability. I'd do a lot of statistical analysis in SAS, but have to find an alternative way to create figures to convey the results as the graphics look like they're from 90s.