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Wed, Jul 14

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PodClass

AU / NZ ELM Facilitated Workshop w/ PodClass Training Protocol AU/NZ

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AU / NZ ELM Facilitated Workshop w/ PodClass Training Protocol AU/NZ
AU / NZ ELM Facilitated Workshop w/ PodClass Training Protocol AU/NZ

Time & Location

Jul 14, 2021, 9:00 AM – Jul 15, 2021, 5:00 PM

PodClass

About the event

Enterprise Integration Platforms, such as the Enterprise Data Warehouse, store integrated data in a common database. The features of this common target schema typically include: a) enterprise-wide scope, b) auditable data, c) data sourced from several source systems, d) a conformed, common view of the enterprise data, e) be flexible enough to accommodate perpetual change, and also most commonly f) persisted/historized data. Modeling the Enterprise Data Model Since source systems are based on functional or departmental data models, no source systems can speak to the common model for the enterprise. For this reason, the Enterprise Data Model that determines how data will be integrated, must be based on a common model with an enterprise-wide scope. The design of this model can only come from the business (versus technical) representatives of the organization.

Ensemble Logical Model (ELM) The Ensemble Logical Model is an enterprise business model that is capable of capturing the enterprise-wide, integrated, agile, business model requirements. The ELM model is created by the business representatives of the organization through interactive modeling workshops. These are facilitated Ensemble Logical Modeling sessions.

The ELM workshop is an interactive, facilitated, business-driven design session. This is a 2 (two) day course that depends on the active participation of all attending business representatives. During the workshop, participants work together on identifying the Core Business Concepts (CBCs) of the organization and the Natural Business Relationships (NBRs) that associate the concepts.

This is not a technical session; no computers, only people, white boards & Post-it notes involved!

Tickets

  • Registration

    This ticket is available up to 6 weeks prior to the event.

    A$2,600.00
  • Early Bird

    A$2,400.00

Total

A$0.00

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