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Microsoft Corporation

Microsoft Data Quality Services

Composite Score

8.1 /10

CX Score

8.4 /10

26 Reviews Write a Review

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

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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

Up 3
Since last award

85 Satisfaction of Cost Relative to Value

Up 2
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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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

Gaurav M.

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

Validated Review

Verified Reviewer

Submitted Jul 2024

Easy to Use!

Likeliness to Recommend

9 /10

What differentiates Microsoft Data Quality Services from other similar products?

It works smoothly than other software, hence the workflow capacity of the device will increase.

What is your favorite aspect of this product?

The tools of this software like as profiling, cleaning and matching data it helps to maintain the businesses accurate and right data.

What do you dislike most about this product?

Such little expensive

What recommendations would you give to someone considering this product?

All are good. Try to focus on developing new tools.

Pros

Continually Improving Product
Performance Enhancing
Effective Service
Helps Innovate

Isma J.

Role: Finance
Industry: Education
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jul 2024

Cleanses data Allows to prevent duplicity of data

Likeliness to Recommend

10 /10

What differentiates Microsoft Data Quality Services from other similar products?

It is easy to use and have better data cleaning efficiency in comparison to other similar platforms. It manages, cleanses and standardises the data.

What is your favorite aspect of this product?

My favourite aspect is that how efficiently the product helps us to identify and remove duplicate data and maintain sanity of data.

What do you dislike most about this product?

It has security concerns and is a but costly.

What recommendations would you give to someone considering this product?

Be wise while use this product to manage and store data.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Divneet S.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

easy to use/integrate with other Microsoft product

Likeliness to Recommend

8 /10

What differentiates Microsoft Data Quality Services from other similar products?

ease of use

What is your favorite aspect of this product?

integration with other microsoft products

What do you dislike most about this product?

UI for some features

What recommendations would you give to someone considering this product?

get the full microsoft package, it is cheaper that way

Pros

Helps Innovate
Continually Improving Product
Reliable
Trustworthy

Latest Research

Microsoft Data Quality Services

What is Microsoft Data Quality Services?

Company Details

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Microsoft Data Quality Services Ratings

92 Likeliness to Recommend

95 Plan to Renew

Up 3 Since last award

85 Satisfaction of Cost Relative to Value

Up 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

Gaurav M.

Easy to Use!

Likeliness to Recommend

Pros

Isma J.

Cleanses data Allows to prevent duplicity of data

Likeliness to Recommend

Pros

Divneet S.

easy to use/integrate with other Microsoft product

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

Title

Up 3
Since last award

Up 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