Open Framework, Information Management Strategy & Collaborative Governance | Data & Social Methodology - MIKE2.0 Methodology
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Data Governance Issues related to Technology Architecture 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.

Data Governance issues often stem from fundamental problems in the architecture or issues related to the complexity of the integrating information in a highly federated environment.

The most serious Data Governance problems can result from poor Data Governance practices related to securing data. Latency issues that are inherent to integrating data between systems pose a major challenge in most organisations and result in the need to make major changes to the legacy architecture.

The results of the strategic current-state architectural assessment should act as valuable input into identifying these architectural issues at a strategic level and putting in place the strategic technology architecture for their resolution

Example for Data Governance Issues related to Technology Architecture

These issues are best identified as metadata that is added within the modelling of an architecture within a modelling tool.

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