What we’re about
EN: We present, try out and discuss data modeling techniques and architectural approaches especially in a data warehousing/business intelligence context. We often focus on data vault but are open to other topics like transitional modeling, fact-based modeling or modeling patterns.
DE: Wir präsentieren, erproben und diskutieren Datenmodellierungstechniken und Architekturansätze vor allem im Data-Warehouse-/Business-Intelligence-Kontext. Wir konzentrieren uns häufig auf Data Vault, sind aber auch offen für andere Themen wie Transitional Modeling, Fact-Based Modeling oder Modeling Patterns.
Upcoming events (1)
See all- Guide your business towards a logical data model with Remco Broekmans (English)Link visible for attendees
We’re happy that Dutch data vault expert and ELM guru Remco Broekmans of Genesee Academy returns to the Data Modeling Meetup.
Abstract:
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, I will explain my journey towards the Ensemble Logical Model and how to engage the business on this path.
In today’s fast-paced and data-driven world, effective communication between business and IT is no longer optional—it’s essential. But 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 my goal—an Ensemble Logical Model (fit for Data Vault, Anchor, Focal Point, etc). That is why I 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 business and IT.
During this presentation, I will walk the entire path and explain not only the use of the ELM artifacts themselves but also the challenges on the road and why it is important not to skip a step. As a bonus, I will discuss the option to have a GPT based upon a specific LLM help in the whole process.
Speaker:
Remco Broekmans works as VP International Programs at Genesee Academy. He has 20+ years experience working with all things Data including DW/BI, Data Modeling (Ensemble Modeling and Data Vault in particular) and Enterprise Integration. His current focus is on getting aligned with the business side of organizations in ELM workshops and work with business people towards an Aligned, Refined and Designed Data model – a Logical Data Model fit for Data Vault or other Ensemble patterns. The use of AI as an assistant in data modelling is part of the investigation which Remco is doing right now.
Remco wrote “From Stories to Solutions”, a book which is about redefining the communication between business and data professionals. He is also publishing articles on LinkedIn on various data modelling topics and developing course materials for Genesee Academy’s Data Vault Certification and the Business Mapping & ELM training. In the past, Remco has developed several education courses on Business Intelligence and Data Warehousing.
Frequently speaking at conferences and DAMA meetings on various topics in Data modelling, all with a big connection to the Business-First philosophy of Enterprise Data Initiatives. Recent presentations were about “Context in Data Vault” and “Handling time in Data Vault”.
Remco is fulfilling different roles like Instructor, Facilitator, Coach and Advisor. His specializations include: Data Modeling, Information Management and Ensemble Modeling, Data Vault Modeling, Business Mapping with ELM Workshops, Big Data Modeling, Agile Data Warehousing, Education, e-Learning, Applied AI and Business Development.
You can follow Remco on LinkedIn: linkedin.com/in/remcobroekmans.
Agenda:
19:00 Welcome & Introduction
19:10 Guide your business towards a logical data model (Remco Broekmans)
19:55 Discussion & Conclusion
