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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Real user data aggregated to summarize the product performance and customer experience.
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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
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?
Pros
- Helps Innovate
- Reliable
- Respectful
- Client Friendly Policies
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
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
Microsoft Data Quality Services Reviews
Anna Z.
- Role: Operations
- Industry: Shipping
- Involvement: End User of Application
Submitted Nov 2020
Fantastic product and customer service
Likeliness to Recommend
What differentiates Microsoft Data Quality Services from other similar products?
Easy to use and extremely reliable
What is your favorite aspect of this product?
Easy to use and user friendly
What do you dislike most about this product?
None that I can think of
What recommendations would you give to someone considering this product?
Fantastic product
Pros
- Helps Innovate
- Trustworthy
- Client Friendly Policies
- Fair
Crystal G.
- Role: Human Resources
- Industry: Healthcare
- Involvement: Business Leader or Manager
Submitted Apr 2020
Over great! Would recommend it 100 percent.
Likeliness to Recommend
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
Robert S.
- Role: Human Resources
- Industry: Education
- Involvement: Business Leader or Manager
Submitted Apr 2020
East to use for the most part, but price is high
Likeliness to Recommend
What differentiates Microsoft Data Quality Services from other similar products?
There were aspects of the data collection that made for easier use.
What is your favorite aspect of this product?
It is user friendly
What do you dislike most about this product?
Some of the inputs for data can be difficult
What recommendations would you give to someone considering this product?
Easier data input settings
Pros
- Reliable
- Efficient Service
- Enables Productivity
- Effective Service