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Status Not under consideration
Created by Guest
Created on Jun 28, 2019

Request for addition of Potential Overlay Task in MLDS over MDM SE

Our data stewards would like to resolve Potential Overlay tasks for real-time scenarios when one set of member attributes are duplicated by attributes of a different member within the same source system. This is most serious among data issue tasks. This functionality is missing in Data Stewardship module via Machine Learning in MDM SE at http://<WAS+MDM App Server>:9080/mdm-aese/se

  • Admin
    Marcus Boone
    Mar 24, 2020

    After careful consideration and review, we will not be updating the machine learning stewardship task user experience with overlay tasks. Our intent with MLDS was not to replace the existing UIs with this new ML assisted UI. It was only created for the new ML assisted task resolutions for "Potential Duplicates" and "Potential Linkage". Further, there is no real use case for machine learning in dealing with "Potential Overlay" as that function is more about a workflow to fix data in the source systems and keep track of it. While we recognize the benefit of a single UI for all tasks, the time and effort would materially delay progress on our comprehensive redesign of the entire stewardship experience. We would welcome you or members of your team to participate via our User Experience Program to materially affect the direction and features of the new Stewardship Experience, should this be something you are interested in.

  • Guest
    Mar 24, 2020

    Our data stewards had a web session with IBM MDM Product Team and explained different scenarios that lead to Potential Overlay task resolution in MDM Inspector. Can you pls let us know the update?

  • Guest
    Sep 5, 2019

    Potential Overlay task is the most serious task among data issue tasks that need to be resolved by data stewards. They are currently using Inspector to review and resolve PO tasks. They would prefer resolve them using MLDS over Inspector

  • Admin
    Marcus Boone
    Jul 1, 2019

    HI Ashok - could you provide some additional context here please? Why would this be useful and what makes it such a serious/urgent fix for you?