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IBM InfoSphere QualityStage

Score9 out of 10

5 Reviews and Ratings

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What is IBM InfoSphere QualityStage?

IBM InfoSphere QualityStage is a data quality offering from IBM.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features IBM InfoSphere QualityStage has to offer, as determined by TrustRadius' reviewers.
Based on 5 ratings of IBM InfoSphere QualityStage's features
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Top Performing Features

  • Data source connectivity

    Ease of connection to multiple data sources

    Category average: 8.3

  • Data profiling

    Ability to find anomalies and hidden relationships between data elements

    Category average: 8.3

  • Master data management (MDM) integration

    Quality of integration with MDM systems

    Category average: 8.6

Areas for Improvement

  • Data element standardization

    Parsing and standardization of data elements according to predefined rules

    Category average: 8.3

  • Match and merge

    Ability to identify potential matches and then merge

    Category average: 8.2

  • Address verification

    Data format checking and valid address checking

    Category average: 8.6

Reviews

What users are saying about IBM InfoSphere QualityStage.
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QualityStage - Improving Data Quality as part of the Data Integration Process

Incentivized
Gonzalo AngeleriView profile
Regional Product & Solution Architect Manager in Information Technology at GRUPO DATCO (501-1000 employees employees)

Pros

  • Worldwide address and name rules for data standardization
  • Integration with other tools like DataStage
  • Graphical interfase to develop processes
  • Performance and scalability

Cons

  • Should include all the data profiling functionality
  • Better features to tune matching capability
  • Include AI to automatically recommend actions to improve processes

Return on Investment

  • Improving Data Quality
  • Reducing costs due to better Data Quality
  • Single view of customer / product
  • Better data governance

Alternatives Considered

PowerCenter

Other Software Used

Watson Studio (formerly IBM Data Science Experience)

Quality Stage

Incentivized
Verified User
Project Manager in Professional Services (51-200 employees employees)

Pros

  • Create rules
  • Standardization and normalization of data
  • Integration with DataStage

Cons

  • 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

Return on Investment

  • The data quality improve an 80%
  • We could show all the areas where the issues were.

Other Software Used

IBM InfoSphere DataStage, Oracle Data Integrator, Dell Boomi