Open Framework, Information Management Strategy & Collaborative Governance | Data & Social Methodology - MIKE2.0 Methodology
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Working prototype that can identify single-producer data quality issues Deliverable Template

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This article is a stub. It is currently undergoing major changes as it is in the very early stages of development and is only a placeholder. Please help improve MIKE2.0 by adding to this article.
This deliverable template is used to describe a sample of the MIKE2.0 Methodology (typically at a task level). More templates are now being added to MIKE2.0 as this has been a frequently requested aspect of the methodology. Contributors are strongly encouraged to assist in this effort.
Deliverable templates are illustrative as opposed to fully representative. Please help add examples to this template that are representative of the proposed output.

The Working prototype that can identify single-producer data quality issues deliverable builds on the prior task and is the starting point for handling exceptions that we identify in the system. It is focused on how issues identified by data profiling will be loaded into the integrated data store. This task would involve the following areas:

  • Extend the integrated data store and/or meta-model to be able to handle data quality issues identified during data profiling.
  • Define transformations from staging to the integrated data store, with the inclusion of established data quality attributes that show validation results of data from the producer system.
  • Extend the CMM built in the prior task so that is also contains data quality attributes.

The purpose of this step is to establish the best approach for tracking data quality issues identified out of the producer system


Listed below are example working prototypes that can identify single-producer data quality issues:

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