Microsoft Corporation

Microsoft Data Quality Services

Composite Score

8.1 /10

CX Score

8.4 /10

26 Reviews Write a Review

Claim Software

What is Microsoft Data Quality Services?

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data. DQS enables you to perform data cleansing by using cloud-based reference data services provided by reference data providers. DQS also provides you with profiling that is integrated into its data-quality tasks, enabling you to analyze the integrity of your data.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Microsoft Data Quality Services Ratings

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

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.

92 Likeliness to Recommend

95 Plan to Renew

3
Since last award

85 Satisfaction of Cost Relative to Value

2
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

undefined

{y}

{name}

Emotional Footprint Overview

Product Experience:: 95%
Negotiation and Contract:: 84%
Conflict Resolution:: 92%
Strategy & Innovation:: 94%
Service Experience:: 92%

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.

+92 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 Microsoft Data Quality Services?

0% Negative

9% Neutral

91% Positive

Pros

Helps Innovate
Respectful
Reliable
Performance Enhancing

Feature Ratings

Average 81

Data Monitoring and Administration

Data Cleansing

Data Source Connectivity

Data Matching

Record Deduplication

Data Profiling

Reporting Components

Record Management

Data Enrichment

Dashboard

Geocoding

Vendor Capability Ratings

Average 83

Business Value Created

Quality of Features

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Availability and Quality of Training

Vendor Support

Usability and Intuitiveness

Ease of Implementation

Breadth of Features

Microsoft Data Quality Services Reviews

ENAKARHIRE J.

Role: Consultant
Industry: Other
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Feb 2025

easy to use. fantastic product

Likeliness to Recommend

10 /10

What differentiates Microsoft Data Quality Services from other similar products?

they provide scalable data context and great access management

What is your favorite aspect of this product?

cleasing and the profilling aspect

What do you dislike most about this product?

well none

What recommendations would you give to someone considering this product?

the product is great,i will recomment they puchase the software for effective work

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Kaling E.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Feb 2025

Powerful Data Quality Solution with a Learning

Likeliness to Recommend

10 /10

What differentiates Microsoft Data Quality Services from other similar products?

Microsoft Data Quality Services stands out from other similar products due to its seamless integration with other Microsoft tools and its robust data cleansing and validation capabilities.

What is your favorite aspect of this product?

My favorite aspect of Microsoft Data Quality Services is its ability to profile and cleanse data in a way that's highly customizable and scalable.

What do you dislike most about this product?

I dislike that Microsoft Data Quality Services can be a bit complex to set up and configure, especially for users without prior experience with data quality tools.

What recommendations would you give to someone considering this product?

I would recommend carefully evaluating your data quality needs and goals, and considering the level of customization and scalability you require, to ensure Microsoft Data Quality Services is the right fit.

Pros

Helps Innovate
Reliable
Trustworthy
Unique Features

David E.

Role: Human Resources
Industry: Telecommunications
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Feb 2025

"Effective Data Quality Solution: This software ef

Likeliness to Recommend

10 /10

What differentiates Microsoft Data Quality Services from other similar products?

It's ease of use and it's ability to manage data quality in relation to customer service

What is your favorite aspect of this product?

It's Ease of use and Adaptability

What do you dislike most about this product?

Its not cost effective

What recommendations would you give to someone considering this product?

It's collective ability of large data volume

Pros

Performance Enhancing
Helps Innovate
Continually Improving Product
Enables Productivity

Microsoft Data Quality Services

What is Microsoft Data Quality Services?

Company Details

Need Assistance?

Microsoft Data Quality Services Ratings

92 Likeliness to Recommend

95 Plan to Renew

3 Since last award

85 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Microsoft Data Quality Services?

Chart

Pros

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

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

Data Matching Includes fuzzy matching, data comparison, and data merging.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

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.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

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.

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

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

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.

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.

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.

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 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.

Microsoft Data Quality Services Reviews

ENAKARHIRE J.

easy to use. fantastic product

Likeliness to Recommend

Pros

Kaling E.

Powerful Data Quality Solution with a Learning

Likeliness to Recommend

Pros

David E.

"Effective Data Quality Solution: This software ef

Likeliness to Recommend

Pros

Most Popular Microsoft Data Quality Services Comparisons

Oracle Enterprise Data Quality

Talend Data Quality

Melissa Data Quality Suite

SAS Data Quality

PiLog Data Quality Management

IBM InfoSphere QualityStage

3
Since last award

2
Since last award

Feature Ratings

Data Monitoring and Administration

Data Cleansing

Data Source Connectivity

Data Matching

Record Deduplication

Data Profiling

Reporting Components

Record Management

Data Enrichment

Dashboard

Geocoding

Vendor Capability Ratings

Business Value Created

Quality of Features

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Availability and Quality of Training

Vendor Support

Usability and Intuitiveness

Ease of Implementation

Breadth of Features