SAS Institute Inc.

SAS Data Management

Composite Score

7.3 /10

CX Score

7.5 /10

35 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.

86 Likeliness to Recommend

2
Since last award

98 Plan to Renew

83 Satisfaction of Cost Relative to Value

3
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.

+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

Record Deduplication

Reference Data Management

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

Ease of Customization

Usability and Intuitiveness

SAS Data Management Reviews

Anil T.

Role: Industry Specific Role
Industry: Machinery
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Nov 2022

An efficient way to view reports with raw data

Likeliness to Recommend

9 /10

What differentiates SAS Data Management from other similar products?

SAS helps you keep all your data in one center of quality. I've been using SAS for many years and report on its potential time savings. A single interface to manage all your data to help keep your data accurate, readable, complete, accessible and up-to-date.

What is your favorite aspect of this product?

It handles huge databases, data management with ease. Macro processing lets you complete repetitive tasks in seconds. Easy ods output, quick and quick results and easy to understand. It is suitable for merging and cleaning data through data analysis.

What do you dislike most about this product?

It's a slightly complex system that will take some time for users to understand.

What recommendations would you give to someone considering this product?

I highly recommend this tool for data management.

Pros

Performance Enhancing
Trustworthy
Unique Features
Respectful

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

86 Likeliness to Recommend

2 Since last award

98 Plan to Renew

83 Satisfaction of Cost Relative to Value

3 Since last award

Emotional Footprint Overview

+87 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.

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.

Record Deduplication Ability to eliminate duplicate records in a datset.

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

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.

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.

SAS Data Management Reviews

Anil T.

An efficient way to view reports with raw data

Likeliness to Recommend

Pros

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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Since last award

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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

Record Deduplication

Reference Data Management

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

Ease of Customization

Usability and Intuitiveness