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Business Mapping & ELM
Certification
The ELM Data Modeling Framework.
Large Language Models can generate data models. But can they generate the right data model? Only when they truly understand the business. And to understand the model any LLM is presenting you need to understand the business and the process to translate the business towards an Ensemble Logical Model. You need to become the master of the ELM Data Modelling Framework, which is also used in the GA AI Modelling Assistant.
This course teaches a practical methodology with facilitated business workshops which can be combined with AI. Rather than replacing business experts, AI can become your junior modelling assistant that accelerates discovery while leaving modelling decisions where they belong—with the business.
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. The end result will be a Logical Data Model ready to serve as input for a Data Vault based EDW or any other form of integrated storage of data.
Data
Vault Modeling and Certification
Data vault modeling is specifically well suited for enterprise integration data projects where agility, data integration and historization are the priority. To gain these benefits the organization will need to commit to both EDW program level factors as well as ensemble modeling and data vault modeling patterns, related standards and best practices. This course will guide you through these modeling patterns, rules and methods to prepare you for successful data vault modeling in your organization.
To leverage the power of data vault modeling it is imperative that you gain a detailed understanding of the underlying modeling pattern. This class will guide you to this level of deep understanding so that you can be successful in your modeling efforts and your data warehouse program. Note that this new updated version has been infused with AI considerations including a) the aspects of the changing business operations that we are modeling, b) the role of AI in our industry and specific job functions, and c) examples of the use of AI LLMs to support various aspects of the data modeling function.
ELM AI Data Modelling Framework Practitioner
The ELM AI Data Modelling Framework course provides a structured, business-first approach for combining proven data modelling practices with AI assistance while keeping business experts firmly in control. We know that Large Language Models can create data models in seconds, but they should never become the business model simply because an AI created them.
This practical course takes participants through the complete modelling lifecycle: Discover the Core Business Concepts, Connect them through Events and Natural Business Relationships, Review the resulting model, Facilitate business validation and evolution, Compare & Consolidate alternative interpretations, and Publish the validated Structured Business Model for different audiences and tools.
Participants learn the framework through practical cases, group modelling exercises and facilitated discussions. AI can then be introduced as a modelling assistant, allowing participants to experience how different LLMs interpret the same business and how those differences can be used to improve business understanding rather than simply accepting a single AI-generated answer. After class participants understand how AI can assist in data modelling in understanding each part of the framework first before letting AI into your practice.
The course combines business modelling, ELM, structured workshops and practical AI assistance into one coherent approach built around a simple principle: The Business decides. AI facilitates."