Great value for money when it comes to Data Governance
January 13, 2022

Great value for money when it comes to Data Governance

Wiliam de Faria | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Watson Knowledge Catalog

We use it to perform data discovery in various databases (Oracle, SAP, SQL, Cloud) and manage the corporate data catalog, in addition to applying personal data governance rules to comply with LGPD and GDPR. The tool contributed to the implementation of data governance policies and the data privacy program, mainly with the ease of discovering personal data.

Pros

  • Data discovery.
  • Technical Data Lineage.
  • Business Data Lineage.
  • Data .
  • Multiple Data Catalog Management.
  • Creation of Governance Rules.
  • Data Masking.

Cons

  • Data discovery performance.
  • Discovery of unstructured data.
  • Integration with Privacy Management API.
  • Data Discovery
  • Data Catalog
  • Rules and Policies Manager
  • Data Quality
  • Data Lineage
  • The negative note: is that it needs to have a very secure cloud infrastructure and with its data well defined for integration with other databases.
  • The positive point: allows for quick data discoveries aiding a quick implementation of privacy programs.
Adabas is a tool for managing Data Governance because an IBM tool has an advantage because it doesn't have the cloud and that makes integration much easier, it has the lowest price on the market and its performance in data discovery is faster than competitors.

Do you think IBM watsonx.data intelligence delivers good value for the price?

Yes

Are you happy with IBM watsonx.data intelligence's feature set?

Yes

Did IBM watsonx.data intelligence live up to sales and marketing promises?

Yes

Did implementation of IBM watsonx.data intelligence go as expected?

Yes

Would you buy IBM watsonx.data intelligence again?

Yes

It's great for data discovery and analyzing the quality of that data, and it's great for managing that catalog with strong rules and policies. It has an easy policy management and data governance rules and has a very good graphic tool to show the integration between business terms and physical data not good for managing data privacy and mapping personal data handling processes

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