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Infinuendo to present at Australasian Enterprise Data Management Conference

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Infinuendo has been invited to present at the Australasian Enterprise Data Management Conference in Sydney on 19-20 October 2015 on the topic of “Enterprise Data Model revisited”.

Here is the abstract of the talk:

Traditionally, an Enterprise Data Model is expressed as an ER or UML model containing entities/objects and the attributes for each. Interpretation of these composite structures needs expert judgement and modelling experience. To the business user they are hard to fully understand, which bogs down the modelling process, often leading to lack of engagement, disappointment and failure. Furthermore, a chosen entity/attribute design will typically be appropriate for application to either relational databases or to object-oriented programs, and is rarely suitable for organising semi-structured or analytic data.  One design will not suit all purposes.

Fact-Based Modelling is a rich linguistic approach to formulating conceptual models that removes the stratification between entities and attributes. All relationships (including attributes) are represented as elementary statements (“fact types”), and this minimalism supports natural language verbalisation.  This makes such models easy for all stakeholders to understand and discuss, as well as being more flexible for generating a variety of physical schemas, as well as documentation, data access and ETL code.

We are extending the fact-based method to integrate all levels of data modelling based on a collaborative modeling platform. One of the features of this platform is the ability to manage a hierarchy of data models from Industry Reference Models to Application models. This and other new features will described in terms of Enterprise Data Model use cases.

We look forward to meeting you at the conference if you are able to attend.

If you are interested in getting a copy of the presentation, please get in touch with us at infinuendo@infinuendo.com.

Graeme PortInfinuendo to present at Australasian Enterprise Data Management Conference

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