Guide your business towards a logical data model

All data modellers want to translate the business needs into a logical data model. Yet, communication gaps between business and IT have historically hindered the development of efficient, aligned solutions. In this presentation Remco will explain the journey towards the Ensemble Logical Model and how to engage the business on this path. The use of the 6 ELM artifacts to be used in the workshops will guide both data modelers and business. As a bonus Remco will discuss the option to have a GPT based upon a specific LLM help in the whole process.

In today’s fast-paced and data-driven world, effective communication between business and IT is no longer optional—it’s essential. Yet, the gap between these two critical functions often leads to misaligned goals, inefficiencies, and lost opportunities. Adapting existing modelling and model storming techniques were not a direct fit for the goal – an Ensemble Logical Model (fit for Data Vault, Anchor, Focal Point, etc). That is why Remco will always use the 6 ELM artifacts to map any business towards a documented, agile and adaptable data model. Small steps are best if you do not want to lose the people in your business when you go from a business case / challenge towards a logical data model which is understood by both business and IT. During this presentation Remco will walk the entire path and explain not only the use of the ELM artifacts itself but also the challenges on the road and why it is important not to skip a step. As a bonus he will discuss the option to have a GPT based upon a specific LLM help in the whole process. 

• A practical step-by-step approach to capturing business stories and translating them into logical, actionable data models.
• Tools and artifacts such as the CBC-List, Event-Canvas, and NBR-Matrix that guide teams in mapping business concepts and refining relationships.
• Proven methods for running workshops that foster collaboration and mutual understanding between business and IT stakeholders.
• Using the “Willibald” case study, showcasing how the ELM approach addresses common challenges in organizational data modeling.
• Showing a data modelling GPT which is following the ELM approach as an assistant for both business as well as data modelers.