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Microsoft Corporation

Microsoft Data Quality Services

Composite Score

8.5 /10

CX Score

8.9 /10

33 Reviews Write a Review

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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.

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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.

91 Likeliness to Recommend

1
Since last award

96 Plan to Renew

1
Since last award

87 Satisfaction of Cost Relative to Value

2
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.

+93 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

7% Neutral

93% Positive

Pros

Respectful
Performance Enhancing
Unique Features
Security Protects

Feature Ratings

Average 81

Data Monitoring and Administration

Data Cleansing

Data Source Connectivity

Record Deduplication

Record Management

Reporting Components

Data Matching

Data Profiling

Dashboard

Data Enrichment

Geocoding

Vendor Capability Ratings

Average 83

Business Value Created

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Data Integration

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Vendor Support

Usability and Intuitiveness

Breadth of Features

Microsoft Data Quality Services Reviews

Crystal G.

Role: Human Resources
Industry: Healthcare
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2020

Over great! Would recommend it 100 percent.

Likeliness to Recommend

8 /10

What differentiates Microsoft Data Quality Services from other similar products?

I really don’t know because not all employees would use the system.

What is your favorite aspect of this product?

Easy to use and easy to explain when training others.

What do you dislike most about this product?

As of right now nothing.

What recommendations would you give to someone considering this product?

Just do your research before buying and see what your companies needs are and compare.

Pros

Reliable
Helps Innovate
Performance Enhancing
Enables Productivity

Cons

Vendor's Interest First
Under Delivered

Microsoft Data Quality Services

What is Microsoft Data Quality Services?

Company Details

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Awards & Recognition

Microsoft Data Quality Services Ratings

91 Likeliness to Recommend

1 Since last award

96 Plan to Renew

1 Since last award

87 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+93 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.

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.

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.

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.

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.

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

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

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 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.

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 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.

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.

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.

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

Crystal G.

Over great! Would recommend it 100 percent.

Likeliness to Recommend

Pros

Cons

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IBM InfoSphere QualityStage

1
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2
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Feature Ratings

Data Monitoring and Administration

Data Cleansing

Data Source Connectivity

Record Deduplication

Record Management

Reporting Components

Data Matching

Data Profiling

Dashboard

Data Enrichment

Geocoding

Vendor Capability Ratings

Business Value Created

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Data Integration

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Vendor Support

Usability and Intuitiveness

Breadth of Features