Open Framework, Information Management Strategy & Collaborative Governance | Data & Social Methodology - MIKE2.0 Methodology
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Conceptual Enterprise Data Model 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 purpose of the Conceptual Enterprise Data Model task is to define an organisation’s high-level data requirements, via an Enterprise Data Model. It focuses on modeling enterprise Subject Areas and Key Data Elements and showing how they relate to each other. A data dictionary with business definitions for each of the Subject Areas and Key Data Elements is often developed to support the conceptual model. The complete model does not need to be built in a single effort, focus can be given to subject areas with high business priority or to those that are relevant to a given implementation.

The conceptual enterprise data model can be incrementally extended over time and is the precursor to a logical data model. Tools such as ERwin or MS Visio are commonly used to develop the Conceptual Enterprise Data Model.

The conceptual enterprise data model can be presented with varying levels of detail. At the highest level, the model presents the organisation's Subject Areas only. At the next level of detail, the model presents the organisation's Subject Areas and Key Data Elements. At the most granular level, the model represents the organisation's Subject Areas, Key Data Elements and the relationships and cardinality between Key Data Elements. Optionality of relationships may also be represented.

Some conceptual enterprise data models do not include cardinality or optionality. In this case, this level of detail will be represented in the logical enterprise data model.

= Examples

Example for a sample Conceptual Enterprise Data Model

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