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IBM InfoSphere QualityStage

IBM InfoSphere QualityStage

Overview

What is IBM InfoSphere QualityStage?

IBM InfoSphere QualityStage is a data quality offering from IBM.

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Recent Reviews

Quality Stage

9 out of 10
November 28, 2018
Incentivized
QS is used in the service area. I have implemented it in companies where your business is data. And with it, we have achieved very good …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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What is IBM InfoSphere QualityStage?

IBM InfoSphere QualityStage is a data quality offering from IBM.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is IBM InfoSphere QualityStage?

IBM InfoSphere QualityStage Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(5)

Reviews

(1-3 of 3)
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Wendy Durf | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Effectively integrating with DataStage and great management of data quality and through the IBM InfoSphere QualityStage is an easy process identifying various revenue opportunities. Easy rules creation platform which offers the best Cloud functionalities enabling effective management of all the companies information and the activities monitoring functions and also easy data pulling via Cloud services.
  • Effective data quality enhancement product.
  • Deep proofing of multiple data.
  • Excellent for easy identification of revenue opportunity.
  • The implementation not easy at all.
  • The learning curve is very long.
  • Multiple Cloud data management, especially to the new users.
The best, flexible and powerful Cloud data classification and Cloud data management software and its capabilities are effective and very protective IBM solutions. Easy interface setting and its integration support are functional, allowing easy complex data pulling and the tool scalability and features performance, as well as data quality improvement, are the effective capabilities provided by this IBM platform.
  • Integration with other platforms like DataStage functionality are excellent.
  • The data management on Cloud services.
  • User activities tracking and monitoring options are nice.
Data Quality (6)
90%
9.0
Data source connectivity
90%
9.0
Data profiling
90%
9.0
Master data management (MDM) integration
90%
9.0
Data element standardization
90%
9.0
Match and merge
90%
9.0
Address verification
90%
9.0
  • Easy on unleashing of potential revenue opportunities.
  • Our data on Cloud are easily managed through the platform.
  • Easy to monitor user activities and generate multiple reports.
November 28, 2018

Quality Stage

Score 9 out of 10
Vetted Review
Verified User
Incentivized
QS is used in the service area. I have implemented it in companies where your business is data. And with it, we have achieved very good results.
Addresses errors with address standardization, user unification, data cleansing of phones, addresses, etc.
  • Create rules
  • Standardization and normalization of data
  • Integration with DataStage
  • You need to learn the language of pattern to create rules
  • Must be thorough for the definition of the rule, because it can give you unexpected results
Good for issues with data quality, and instances where you need to add controls and rules to load the data. Also if you have a large amount of data.
Data Quality (6)
81.66666666666666%
8.2
Data source connectivity
90%
9.0
Data profiling
80%
8.0
Master data management (MDM) integration
80%
8.0
Data element standardization
80%
8.0
Match and merge
70%
7.0
Address verification
90%
9.0
  • The data quality improve an 80%
  • We could show all the areas where the issues were.
It is a robust tool. It can be integrated with several DB. It works very well with DS. You can create your rules, and define the percentage of standardization or normalization
No
  • Product Reputation
  • Existing Relationship with the Vendor
At the begining Quality Stage could be integrated in a very easy way to DataStage. And the variety of connectors to differents DB (Stages).
Nothing at all. Quality Stage is very established and robust tool. There aren't many resources in BA with knowledge about it.
Gonzalo Angeleri | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
QualityStage is used as a corporate tool for profiling and data cleaning. It is used especially in the data warehousing area, but also in other areas such as marketing and sales. QualityStage allows you to understand the level of data quality of the original systems, and prepare the data to deliver them with the required quality level.
  • Worldwide address and name rules for data standardization
  • Integration with other tools like DataStage
  • Graphical interfase to develop processes
  • Performance and scalability
  • Should include all the data profiling functionality
  • Better features to tune matching capability
  • Include AI to automatically recommend actions to improve processes
Standardization of data using rules for names and addresses. Possibility of building our own rules to standardize other data. Contruction of complex rules of matching and consolidation of data. Native integration with ETL tools and data governance.
Data Quality (6)
80%
8.0
Data source connectivity
90%
9.0
Data profiling
60%
6.0
Master data management (MDM) integration
80%
8.0
Data element standardization
80%
8.0
Match and merge
80%
8.0
Address verification
90%
9.0
  • Improving Data Quality
  • Reducing costs due to better Data Quality
  • Single view of customer / product
  • Better data governance
QualityStage is positioned as a world leader as a data cleaning tool, and competes face to face with PowerCenter. Particularly in Latin America we consider that QualityStage is better customized in terms of data cleaning rules for the region.
Watson Studio (formerly IBM Data Science Experience)
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