Deep Information Modeling using FCO-IM (Fact Modeling) and Graph Models

Dear Data Architect and Modeler Meetuppers!

Challenge:
Some industries need to go deep into the information models by way of capturing a rich business context as well as structuring complex semantics. This applies not least to Finance, Healthcare, Tech, Public Administration and Law Enforcement, for example. Data Modeling Classic soon runs out of steam, and more powerful approaches are needed.

Abstract:
To allow mapping an information model to data models, the information is required to be atomic in structure. Fact oriented modeling methodology captures natural language from the business and builds atomic information model elements, which can then be forward engineered to data models. Graph modeling is an technique which allows a very rich set of atomic information to be captured in a very flexible manner.

This Meetup will present both FCO-IM (Fully Communication Oriented Information Modeling) and Graph Modeling.

Agenda:
13:00 - Welcome
13:10 – Fact Oriented Modeling (“Data Modeling by Example”) by Marco Wobben of BCP Sofware (Holland)
14:10 - Coffee break
14:40 – Graph Data Modeling by Thomas Frisendal, TF Informatik
15:40 - Socialising

About Fact Oriented Modeling:
Data modeling is described as a craft and once completed the results may even seem artful. Yet outsiders may see data modeling as abstract, time consuming or even unnecessary. Fact based information modeling is the very opposite of abstract. Fact based information modeling uses natural language which expresses facts that are intelligible for both business and technical people. It does not require people to understand the modeler’s magical language of boxes and arrows. Although models can be presented in several diagramming notations, they can be validated in natural language at all times. This gives both data modelers, technically skilled people, and business people the benefit of having a well-documented and grounded data model. Therefore the method of Fact Oriented Modeling is also known as “Data Modeling by Example”.

About Marco:
Marco Wobben is director of BCP Software and has been developing software well over 30 years. He has developed a wide range of applications from financial expert software, software to remotely operate bridges, automating DWH generating and loading, and many back- and front office and web applications. For the past 10 years, he is product manager and lead developer of CaseTalk, the CASE tool for fact based information modeling, which is widely used in universities in the Netherlands and across the globe.

About Graph Data Modelling:
Graph Data Modelling is not only for graph databases. Graph Data Modelling is very flexible and can be used all the way down into details, even at the level of 6th NF (in relational parlance). Competing concerns, such as tightly controlled and governed context (such as compliance reporting) as well as opportunistic context such as analytics and data science projects, can live together in graph data models. Relational methods such as normalization can be carried over in a modern, visual manner. And the other side, schema-less development is also an option. We look at the opportunities for the data modeller across the landscape of graph based data architectures.

About Thomas:
Thomas Frisendal is an experienced data professional with more than 35 years on the IT vendor side and since 1995 as an independent consultant. He has worked with databases and data modeling since the late 70s; since 1995 primarily on data warehouse projects. Today he works mostly with data architecture, graph data modeling and knowledge graphs, helping clients with consulting, reviews and recommendations on data-driven projects, primarily in the graph space. And he is an active reader, writer and speaker. Blogs on Dataversity.

SAS Institute has kindly offered to host the event in their downtown Copenhagen office.

After the presentation there will be snacks and drinks and good opportunities to socialize with your peers!