SAS/Access

SAS/Access

About TrustRadius Scoring
Score 8.0 out of 100
SAS/Access

Overview

Recent Reviews

Access Your Data

9 out of 10
September 22, 2017
I currently use SAS/Access to analyze data coming in from the state level Behavioral Health Risk Factor Surveillance System and the Youth …
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Popular Features

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Connect to traditional data sources (5)

10.0
100%

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Pricing

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What is SAS/Access?

SAS/Access is a data integration solution, from SAS.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Features Scorecard

Data Source Connection

9.7
97%

Data Transformations

8.5
85%

Data Modeling

8.8
88%

Data Governance

9.7
97%

Product Details

What is SAS/Access?

SAS/Access is a data integration solution, from SAS.

SAS/Access Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

SAS/Access is a data integration solution, from SAS.

Reviewers rate Connect to traditional data sources and Integration with MDM tools highest, with a score of 10.

The most common users of SAS/Access are from Enterprises (1,001+ employees) and the Banking industry.

Comparisons

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Reviews and Ratings

 (16)

Ratings

Reviews

(1-5 of 5)
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Larry Burns | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
SAS/Access is used in our department and university-wide to provide a connection to various databases to our SAS Viya and SAS 9.4 server setups as well as local based research servers. SAS/Access allows for greater, concerted efforts to connect multiple databases.
Jim Metcalf | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
The Healthy Nevada Project (healthynv.org) uses SAS/Access to bind the SAS 9.4 analytics platform to electronic healthcare records stored in Microsoft SQL Server. SAS/Access is used across the entire project to extract research data. Without the capabilities of SAS/Access, we would be unable to deliver phenotypic data to geneticists so they can perform genome-wide association studies (GWAS). The product is incredibly robust. In the millions of extracts we have performed, we have never encountered a software defect with SAS/Access. As a result, SAS/Access is "invisible" to the team. It just works. Every. Single. Time. The ACCESS product line from SAS is rich in that there are twenty-five different "adapters" that let SAS connect to data sources as disparate Oracle, DB2, Sybase, Hadoop, Impala, SQL Server, MySQL, Greenplum, HAWQ, Netezza....and the list goes on. If your analytics platform is SAS and you have disparate data sources then SAS/Access is your best friend.
Score 8 out of 10
Vetted Review
Verified User
Review Source
SAS/Access is used by my main customer as an efficient way of bringing data from the enterprise data warehouse into SAS for crunching and general customer insight work. It's also used in some cases to reinject data into the warehouse so that people using other BI tools can access it. Using SAS for statistical analysis as well as an ETL tool allows the users to kill two birds with one stone. They can extract the data themselves and then transform it like they want.

The SAS users are located in several business units with the main ones being risk and marketing. For marketing, it's a question of getting data from several different platforms in order to get a clear customer picture. For risk, it's also about getting data from several platforms but the purpose is to size the risk associated with actual and future loans.
September 22, 2017

Access Your Data

Nikardi Jallah | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
I currently use SAS/Access to analyze data coming in from the state level Behavioral Health Risk Factor Surveillance System and the Youth Risk Behavior Survey. I focus on tobacco data and SAS is extremely important when looking at this data. I use SAS STAT to analyse the data using survey procedures. Because BRFSS and YRBS are complex surveys I must use the survey procedures in SAS to get weighted frequencies, means and estimates. It is extremely easy to use SAS for these analyses, because the procedures are pretty repetitive. However, I do wish that the strata, weight, and cluster variables did not have to be typed with each procedure done. When using STATA or SPSS these variables are entered once, and the weighted results are automatically given when writing procedure. No need to enter them in for each. However, I am more comfortable with SAS coding and really like that it is user friendly. The online support for SAS is wonderful as well.