---
description: 검증된 사용 후기를 확인하고 SAS Enterprise Miner 사용성, 특징, 가격, 장점과 단점에 대한 자세한 정보를 확인해보세요! 비슷한 경쟁 제품도 확인이 가능합니다.
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title: SAS Enterprise Miner 가격, 사용 후기, 평점 | 켑테라 Capterra
---

Breadcrumb: [홈](/) > [예측 분석 소프트웨어](/directory/30945/predictive-analytics/software) > [SAS Enterprise Miner](/software/157071/sas-enterprise-miner)

# SAS Enterprise Miner

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> 기업에 자동화된 스코어링, 설명 또는 예측 모델링, 모델 비교 등을 제공하는 데이터 마이닝 시스템입니다.
> 
> Verdict: Rated **4.3/5** by 28 users. Top-rated for **추천 가능성**.

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## Overview

### SAS Enterprise Miner은(는) 누가 사용하나요?

모든 규모의 기업이 구조화된 알고리즘 및 시각적 평가 또는 검증 메트릭을 사용하여 설명 및 예측 모델을 개발하기 위해 데이터 마이닝 프로세스를 간소화할 수 있게 도와주는 웹 기반 플랫폼입니다.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **종합** | **4.3/5** | 28 리뷰 |
| 사용 편의성 | 3.9/5 | Based on overall reviews |
| 고객 지원 | 4.1/5 | Based on overall reviews |
| 비용 대비 가치 | 4.1/5 | Based on overall reviews |
| 특징 | 4.3/5 | Based on overall reviews |
| Recommendation percentage | 80% | (8/10 추천 가능성) |

## 공급업체 정보

- **회사**: SAS Institute
- **Founded**: 1976

## Commercial Context

- **Target Audience**: 자영업, 2~10, 11~50, 51~200, 201~500, 501~1,000, 1,001~5,000, 5,001~10,000, 10,000+
- **Deployment & Platforms**: 클라우드, SaaS, 웹 기반, Windows(데스크톱)
- **Supported Languages**: 영어
- **Available Countries**: 미국

## 특징

- 데이터 검색
- 데이터 시각화
- 데이터 추출
- 모델링 및 시뮬레이션
- 연결된 데이터 관리
- 텍스트 마이닝
- 통계 분석

## Category

- [예측 분석 소프트웨어](https://www.capterra.co.kr/directory/30945/predictive-analytics/software)

## 관련 범주

- [예측 분석 소프트웨어](https://www.capterra.co.kr/directory/30945/predictive-analytics/software)
- [데이터 마이닝 소프트웨어](https://www.capterra.co.kr/directory/31083/data-mining/software)

## 대안

1. [Octoparse](https://www.capterra.co.kr/software/150508/octoparse) — 4.7/5 (106 reviews)
2. [XLSTAT](https://www.capterra.co.kr/software/119448/xlstat) — 4.7/5 (398 reviews)
3. [Google Cloud](https://www.capterra.co.kr/software/170983/google-cloud-platform) — 4.7/5 (2282 reviews)
4. [JMP](https://www.capterra.co.kr/software/151815/jmp-statistical-software) — 4.5/5 (53 reviews)
5. [Dataiku](https://www.capterra.co.kr/software/142192/data-science-studio-dss) — 4.6/5 (13 reviews)

## 리뷰

### "I use SAS for many projects and its functionality is the best in some areas, not so great in others." — 4.0/5

> **Holly** | *2018년 5월 9일* | 고등 교육 | Recommendation rating: 9.0/10
> 
> **장점**: I use SAS almost exclusively for data generation in quantitative projects - the functionality and ease of data generation can't be beat once proficiency is achieved. SAS is also my go-to software for fitting multilevel (hierarchical) models - it can do almost (not quite) everything I've ever needed, and uses minimal code to do so. I have been using SAS throughout my career and would say it is the program I'm most comfortable working in, even for data management (although the data management functionality is mediocre, see comments below).
> 
> **단점**: Three things: graphs, data management, and structural equation models. The SAS graphics are so basic, it takes a lot of programming to get them to look even remotely presentable. That's not to say the capability isn't there, it just isn't worth the trouble when there are so many better programs that easily produce beautiful plots. It's a pain to transfer between programs when I've done everything else in SAS to produce the graphics elsewhere. Also, data management in SAS is notoriously underwhelming. I would love to see some increased functionality in data management. Finally, SAS has (in my view) limited capability to fit structural equation models compared to other comparable programs - I'd use Mplus (popular in social sciences) or R to fit and interpret SEMs over SAS any day.

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### "Excellent software for data analysis and machine learning" — 4.0/5

> **검증된 리뷰어** | *2019년 2월 14일* | 은행 | Recommendation rating: 8.0/10
> 
> **장점**: I like the large number of features it has implemented. There are many machine learning algorithms and they are very easy to use and parameter. You can also process large amounts of data without consuming excessive ram memory
> 
> **단점**: The interface is not very intuitive and can be similar to old software. It has some problems in response speed, it may seem like slow software.
> 
> I have worked with SAS Enterprise Minerduring the last five years doing data mining and machine learning projects. SAS Enterprise Miner is a reliable and robust software that has allowed me to perform statistical analyzes in large databases.&#10; I work in the banking industry and the software has helped me to carry out models of credit risk, propensity and decision trees for segmentation of clients.

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### "Difficult to use and learn but works as intended" — 3.0/5

> **Matthew** | *2018년 8월 22일* | 고등 교육 | Recommendation rating: 6.0/10
> 
> **장점**: Works flawlessly if you know exactly what you're doing and how to use the software.
> 
> **단점**: Really difficult to use, difficult to navigate, and GUI needs to be updated as well as the product documentation. I wish there were better tutorials online for the Enterprise Miner.
> 
> Helping students learn data analytics and predictive analytics

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### "SAS for Data Mining techniques\!" — 4.0/5

> **검증된 리뷰어** | *2019년 3월 27일* | 정보 기술 및 서비스 | Recommendation rating: 9.0/10
> 
> **장점**: 1. It is a superb tool for learning data mining and predictive analysis of data.&#10;2. The tool allows you to understand, summarize and explore the data using multiple modelling techniques like linear regression, neural networks, association rules and clustering etc.&#10;3. Personally, I understood the concept of decision trees easily while using the tool rather than just reading through the book provided during the lecture. &#10;4. It also gives you details statistics information related to the data which can be easily understood by the various chart features available in it.&#10;5. User Interface seems to be typical old software but it is easy to use once you understand it.
> 
> **단점**: 1. Data Source response time: I have noticed this issue so far that after you create the data source in a new project, it doesn't appear simultaneously on the left side menu. At times, you have to close the enterprise miner and reopen/refresh the project to see it in the menu above diagrams.&#10;2. Value for money: I feel it is costly for students and yeah it also comes with license issues apart from the price paid to buy it. &#10;3. Learning: It takes hours of efforts and training to learn the software. Not easy to learn in a week or so.
> 
> I am a student and have been learning this software from the past 2 months, so I am using it for my lecture assignments and a major project for this semester.

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### "SAS Enterprise Miner is awesome, the best in class for what it does, but comes with a high cost" — 5.0/5

> **Thomas** | *2018년 4월 26일* | Recommendation rating: 10.0/10
> 
> **장점**: I find SAS Enterprise Miner to be the most advanced data mining software on the market.  The software offers all sorts of data mining tasks, including random forest, neural networks, support vectors, ensemble modeling, and a host of other options.  The drag and drop user interface is quite nice, and a long way from where base SAS software programming used to be.
> 
> **단점**: The biggest downside is the cost.  SAS Enterprise Miner is amazing for the ease of use and the forecasts it produces, but it isn't free.  Of the data mining software on the market, it is one of the most expensive.  Also, although the software is perfect for building a model, it requires some work to create a model with incoming, real-time data.
> 
> The software is amazing that it can produce such advanced models with a very simple user interface.  The benefits I saw was more accurate forecasts in a quarter of the time to set up models.

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## Links

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