Talend Data Quality Review

Enables robust data matching, merging, Data Stewardship; needs operationalization of meta data


What is our primary use case?

  • Fixing data by using regular expressions or synonyms and Data Stewardship.
  • Using data profiling to gauge the quality of the data before and after it’s used/needed.
  • Master Data Management - Authoring and matching survivorship, including Data Stewardship.

How has it helped my organization?

It allows our customers to master and expand their products to an international scale. In addition, it enables customers to consolidate multiple, disparate sources of data into a centralized, master data hub which can used for operations or analytics.

What is most valuable?

The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management.

What needs improvement?

Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta data.

For how long have I used the solution?

Three to five years.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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