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SAS

SAS Data Management

Composite Score

7.3 /10

CX Score

7.5 /10

35 Reviews Write a Review

What is SAS Data Management?

SAS gives you a solid start when it comes to preparing and managing traditional and big data sources. Our experts work to understand your goals, and then will suggest a phased approach for the most business value. The result? A complete solution that delivers a single view of your data – and gets your entire enterprise on the same page.

Company Details

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Awards & Recognition

SAS Data Management won the following awards in the Master Data Management category

Filter By

0 Top Rated Capabilities

12 Top Rated Features

Latest Award, 2025

0 Top Rated Capabilities

3 Top Rated Features

2024

0 Top Rated Capabilities

6 Top Rated Features

2023

2021 Data Quadrant Champion

2021

SAS Data Management Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on SAS Data Management.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

86 Likeliness to Recommend

98 Plan to Renew

84 Satisfaction of Cost Relative to Value

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 93%
Negotiation and Contract:: 79%
Conflict Resolution:: 93%
Strategy & Innovation:: 85%
Service Experience:: 88%

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+87 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love SAS Data Management?

2% Negative

9% Neutral

89% Positive

Pros

Enables Productivity
Reliable
Fair
Efficient Service

Feature Ratings

Average 84

Multi-Domain Mastering

Entity Relationship Management

Data Modelling Tools

Record Linkage

Record Management

Aggregational Hierarchies Management

Entity Deduplication

Workflow Management

Intrinsic Data Model

Reference Data Management

Record Deduplication

Vendor Capability Ratings

Average 80

Business Value Created

Ease of Data Integration

Product Strategy and Rate of Improvement

Availability and Quality of Training

Quality of Features

Ease of IT Administration

Ease of Implementation

Breadth of Features

Vendor Support

Usability and Intuitiveness

Ease of Customization

SAS Data Management Reviews

Bianca L.

Role: Human Resources
Industry: Entertainment
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jan 2025

A Powerful Master Data Management

Likeliness to Recommend

9 /10

What differentiates SAS Data Management from other similar products?

For master data management, this tool is well equipped and unbeatable regarding the price.

What is your favorite aspect of this product?

Scaling SAS Data Management is easy. It comes with amazing data management and security features

What do you dislike most about this product?

I find it resourceful and no complaints.

What recommendations would you give to someone considering this product?

I highly recommend SAS Data Management solution. Has worked well so far.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Freda H.

Role: Operations
Industry: Consulting
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2024

SAS Data Managment provides transformative results

Likeliness to Recommend

10 /10

What differentiates SAS Data Management from other similar products?

The SAS Data management made data dependable for the transformation of polices, standards, and applicable laws that our organization utilizes to assist with conformance to compliance and regulations. Data management is one of the most critical functionalities in our company the fact is it has to be accurate and usable daily. the applications helped to organize and formulate identifiable solutions, by planning, action and then monitoring in stages

What is your favorite aspect of this product?

SAS Data management helped to integrate data integrity, data quality, and data reliability in one system for multiple uses within the company conducted often through data migrations.

What do you dislike most about this product?

Certain data fields did not relate such as a database and pulling information from multiple sources was not always accurate when be used in reporting, dashboards due to data warehouses.

What recommendations would you give to someone considering this product?

Evaluate the software and define use cases for data migration, plan accordingly it can be tricky to bring a suitable condense workable outcome to going from multiple sources of data into one or two systems.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Sales Marketing
Industry: Engineering
Involvement: Initial Implementation

Validated Review

Anonymous Reviewer

Submitted Feb 2024

Efficient tool for data management tasks

Likeliness to Recommend

8 /10

Pros

Helps Innovate
Reliable
Performance Enhancing
Efficient Service

Latest Research

SAS Data Management

What is SAS Data Management?

Company Details

Need Assistance?

Awards & Recognition

2021 Data Quadrant Champion

SAS Data Management Ratings

86 Likeliness to Recommend

98 Plan to Renew

84 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+87 Net Emotional Footprint

How much do users love SAS Data Management?

Chart

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Multi-Domain Mastering Ability to manage different types of master data (person, product, etc.) inside the same platform.

Entity Relationship Management Ability to manage relationships across entity instances within the same entity class, as well as across entity classes.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Record Linkage Ability to find records in a dataset that refer to the same entity across different data sources

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

Aggregational Hierarchies Management Ability to create and maintain hierarchical constructs/models used by the business to aggregate information for reporting and analytics.

Entity Deduplication Ability to resolve duplicate representation of the same entity instance based on a set of defined attribute/rules and assign unique identifier for each instance

Workflow Management Includes ability to support flexible and comprehensive workflow-based capabilities.

Intrinsic Data Model Includes basic data models out of the box such as customer, account, product, location, etc.

Reference Data Management Ability to store and distribute reference data created externally. Examples of reference data: country/currency codes, administrative regions, etc.

Record Deduplication Ability to eliminate duplicate records in a datset.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

SAS Data Management Reviews

Bianca L.

A Powerful Master Data Management

Likeliness to Recommend

Pros

Freda H.

SAS Data Managment provides transformative results

Likeliness to Recommend

Pros

Efficient tool for data management tasks

Likeliness to Recommend

Pros

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Title

Feature Ratings

Multi-Domain Mastering

Entity Relationship Management

Data Modelling Tools

Record Linkage

Record Management

Aggregational Hierarchies Management

Entity Deduplication

Workflow Management

Intrinsic Data Model

Reference Data Management

Record Deduplication

Vendor Capability Ratings

Business Value Created

Ease of Data Integration

Product Strategy and Rate of Improvement

Availability and Quality of Training

Quality of Features

Ease of IT Administration

Ease of Implementation

Breadth of Features

Vendor Support

Usability and Intuitiveness

Ease of Customization