SAS Institute Inc.

SAS Data Management

Composite Score

7.6 /10

CX Score

7.7 /10

34 Reviews Write a Review

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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

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0 Top Rated Capabilities

3 Top Rated Features

2024

0 Top Rated Capabilities

6 Top Rated Features

2023

2021 Data Quadrant Gold Medalist

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.

85 Likeliness to Recommend

1
Since last award

98 Plan to Renew

82 Satisfaction of Cost Relative to Value

2
Since last award

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Emotional Footprint Overview

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 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

10% Neutral

88% Positive

Pros

Enables Productivity
Reliable
Fair
Efficient Service

Feature Ratings

Average 83

Multi-Domain Mastering

Aggregational Hierarchies Management

Entity Relationship Management

Data Modelling Tools

Record Management

Record Linkage

Entity Deduplication

Reference Data Management

Workflow Management

Metadata Management

Intrinsic Data Model

Vendor Capability Ratings

Average 79

Ease of Data Integration

Quality of Features

Business Value Created

Vendor Support

Product Strategy and Rate of Improvement

Availability and Quality of Training

Breadth of Features

Ease of IT Administration

Ease of Customization

Usability and Intuitiveness

Ease of Implementation

SAS Data Management Reviews

Steven C.

Role: Industry Specific Role
Industry: Construction
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jun 2022

Intuitive Cloud Big Data Analytics Package.

Likeliness to Recommend

9 /10

What differentiates SAS Data Management from other similar products?

The data collaboration through SAS Master Data Management is effective and interface accessibility and easy features setting on this system is impressive.

What is your favorite aspect of this product?

Flexibility and easy usability of all the SAS Master Data Management functionalities is perfect and its overall production quality is effective.

What do you dislike most about this product?

Smooth data modeling and call center management and effective documentation tools are great and the capabilities are cost effective.

What recommendations would you give to someone considering this product?

SAS Master Data Management is the best and major Cloud solution for huge amount of data transformation, easy reporting and excellent on real time data results production and easy tool for data quality management.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Liam R.

Role: Information Technology
Industry: Food and Beverage
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Dec 2021

Very easy to debug.

Likeliness to Recommend

7 /10

What differentiates SAS Data Management from other similar products?

learning is much easier on SAS than say R.

What is your favorite aspect of this product?

SAS has a strong ability to handle large database very easily.

What do you dislike most about this product?

SAS is not open source. R has always implemented a new algorithm related to machine learning more quickly than SAS

What recommendations would you give to someone considering this product?

Consider the costs, is it what you need.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Cons

Inhibits Innovation

SAS Data Management

What is SAS Data Management?

Company Details

Need Assistance?

Awards & Recognition

2021 Data Quadrant Gold Medalist

SAS Data Management Ratings

85 Likeliness to Recommend

1 Since last award

98 Plan to Renew

82 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+86 Net Emotional Footprint

How much do users love SAS Data Management?

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.

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

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

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

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

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

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

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

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

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

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

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.

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.

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.

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.

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.

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

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.

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 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.

SAS Data Management Reviews

Steven C.

Intuitive Cloud Big Data Analytics Package.

Likeliness to Recommend

Pros

Liam R.

Very easy to debug.

Likeliness to Recommend

Pros

Cons

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Feature Ratings

Multi-Domain Mastering

Aggregational Hierarchies Management

Entity Relationship Management

Data Modelling Tools

Record Management

Record Linkage

Entity Deduplication

Reference Data Management

Workflow Management

Metadata Management

Intrinsic Data Model

Vendor Capability Ratings

Ease of Data Integration

Quality of Features

Business Value Created

Vendor Support

Product Strategy and Rate of Improvement

Availability and Quality of Training

Breadth of Features

Ease of IT Administration

Ease of Customization

Usability and Intuitiveness

Ease of Implementation