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SAS Data Management

SAS Data Management

Overview

What is SAS Data Management?

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 11 features
  • Connect to traditional data sources (10)
    8.6
    86%
  • Connecto to Big Data and NoSQL (9)
    8.1
    81%
  • Integration with data quality tools (9)
    7.6
    76%
  • Simple transformations (8)
    6.1
    61%
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Features

Data Source Connection

Ability to connect to multiple data sources

8.3
Avg 8.2

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

6.7
Avg 8.4

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

6.7
Avg 8.2

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

7.9
Avg 8.2
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Product Details

What is SAS Data Management?

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

Included Data Preparation solutions streamline data workflows and execute ELT, supporting data pipelines to ingest, transform and serve high-quality data with a low-code self-service visual designer. And governance solutions help users to ensure regulatory compliance.

SAS Data Management Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

Reviewers rate Connect to traditional data sources highest, with a score of 8.6.

The most common users of SAS Data Management are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(36)

Attribute Ratings

Reviews

(1-10 of 10)
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Filippo Orlando | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
The product is used by our company to meet specific needs in the analytics field, for our CRM. In our case, it's used to manage customer segmentation logics and CRM targeting. I think it is the ideal solution, but may not find it's place in other areas or projects.
Larry Burns | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
My organization is using the SAS Data Management Platform at an enterprise-level i.e., across multiple companies. The business problem was to have a single source of data for reporting and analysis as well as creating a 360-degree customer view to identify common customers across companies to improve cross-sell and up-sell. As there are multiple systems across multiple systems, a common data management platform was required to create an EDW for the same.
Jim Metcalf | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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
Incentivized
This is used department-wide for different clients. There are very limited people who are using it because for handling this tool some experience is required. We use it to make data lakes for fetching data and using it for analyzing patterns.
February 28, 2018

Trustworthy and Powerful

Donald Wildeboer | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
SAS Data Integration Studio is being used for one view of all our data across the organization. Pulling from our Oracle and SQL Servers the data is described in a fashion that users can know what they are looking at with only a little bit of effort. It also pulls from our major vendors' platforms, pulling both the data or metadata from their systems.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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
Incentivized
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.
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