Microsoft Corporation

Microsoft Data Quality Services

Composite Score

8.2 /10

CX Score

8.4 /10

19 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

93 Plan to Renew

1
Since last award

83 Satisfaction of Cost Relative to Value

{y}

{name}

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.

+94 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

6% Neutral

94% Positive

Pros

Helps Innovate
Reliable
Respectful
Client Friendly Policies

Feature Ratings

Average 84

Data Monitoring and Administration

Usability

Data Enrichment

Record Deduplication

Data Cleansing

Data Source Connectivity

Data Matching

Data Profiling

Data Integrity

Record Management

Reporting Components

Vendor Capability Ratings

Average 85

Business Value Created

Ease of Data Integration

Quality of Features

Vendor Support

Ease of IT Administration

Product Strategy and Rate of Improvement

Availability and Quality of Training

Breadth of Features

Ease of Customization

Usability and Intuitiveness

Ease of Implementation

Microsoft Data Quality Services Reviews

Eric J.

Role: Sales Marketing
Industry: Technology
Involvement: Vendor Management and Renewal

Validated Review

Verified Reviewer

Submitted Jul 2024

it is a little pricey, but crucial for our needs

Likeliness to Recommend

9 /10

What differentiates Microsoft Data Quality Services from other similar products?

The tool has easy integration with other tools which does help our workflow.

What is your favorite aspect of this product?

Main use case for us is how it helps clean up our data and avoids duplications.

What do you dislike most about this product?

the costs

What recommendations would you give to someone considering this product?

utilize other quotes from competitors to get a better rate

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Microsoft Data Quality Services

What is Microsoft Data Quality Services?

Company Details

Need Assistance?

Microsoft Data Quality Services Ratings

92 Likeliness to Recommend

93 Plan to Renew

1 Since last award

83 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+94 Net Emotional Footprint

How much do users love Microsoft Data Quality Services?

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.

Usability Includes business-oriented interface made available to business and technical users in a manner relevant to their role.

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

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 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.

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

Data Integrity Includes data accuracy, data maintenance, and data verification and validation.

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.

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

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.

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 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.

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 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.

Microsoft Data Quality Services Reviews

Eric J.

it is a little pricey, but crucial for our needs

Likeliness to Recommend

Pros

Gaurav M.

Easy to Use!

Likeliness to Recommend

Pros

Isma J.

Cleanses data Allows to prevent duplicity of data

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

1
Since last award

Feature Ratings

Data Monitoring and Administration

Usability

Data Enrichment

Record Deduplication

Data Cleansing

Data Source Connectivity

Data Matching

Data Profiling

Data Integrity

Record Management

Reporting Components

Vendor Capability Ratings

Business Value Created

Ease of Data Integration

Quality of Features

Vendor Support

Ease of IT Administration

Product Strategy and Rate of Improvement

Availability and Quality of Training

Breadth of Features

Ease of Customization

Usability and Intuitiveness

Ease of Implementation