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Microsoft Corporation

Microsoft Data Quality Services

8.2 /10

19 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.

92 Likeliness to Recommend

93 Plan to Renew

1
Since last award

83 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+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

Aman M.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

Best product

Likeliness to Recommend

9 /10

What differentiates Microsoft Data Quality Services from other similar products?

Microsoft Data Quality Services (DQS) stands out for its tight integration with Microsoft's ecosystem, especially SQL Server, making it convenient for organizations already using Microsoft products.

What is your favorite aspect of this product?

One standout feature of Microsoft Data Quality Services (DQS) is its seamless integration with SQL Server, which makes data management tasks more efficient for users already familiar with Microsoft's ecosystem.

What do you dislike most about this product?

One area where Microsoft Data Quality Services (DQS) could improve is in its support for a wider range of data types and formats.

What recommendations would you give to someone considering this product?

If you're considering Microsoft Data Quality Services (DQS), ensure it integrates well with your existing Microsoft setup and supports your data types. Check its scalability and available training/support. Conduct a trial to assess its suitability for your needs before committing.

Pros

Helps Innovate
Performance Enhancing
Enables Productivity
Trustworthy

Jessica A.

Role: Sales Marketing
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2024

Data Quality and Easy Platform to Use.

Likeliness to Recommend

9 /10

What differentiates Microsoft Data Quality Services from other similar products?

The data profiling and the multiple project data integration using Microsoft Data Quality Services is excellent and very secure Cloud data storage tool and easy data access.

What is your favorite aspect of this product?

The simplicity on the first configuration and the ability to manage different project data is helpful through this solution and the implementation was easy.

What do you dislike most about this product?

Nothing for me to dislike from this platform because from the training to the services delivery this Microsoft platform is amazing and helpful technical support.

What recommendations would you give to someone considering this product?

Microsoft Data Quality Services is an effective big data analytics creation in real time and the migration of various business data across other third party platforms is quick and very secure.

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

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

Aman M.

Best product

Likeliness to Recommend

Pros

Jessica A.

Data Quality and Easy Platform to Use.

Likeliness to Recommend

Pros

Divneet S.

easy to use/integrate with other Microsoft product

Likeliness to Recommend

Pros

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Title

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