Data Vault Ensemble Modeling

So, You Want an Integrated, Enterprise, Logical, Data Model . . .

William Donlin, Progressive Insurance

The overarching assumption is that participants in the discussion already understand the basic data modeling practice.  We will begin by reviewing the terms that will be used during the discussion.  After a common understanding of the terms is reached, we will create a logical data model with entities and attributes from a generic list of terms.  The participants will work together in groups to research and understand the data elements.  Upon completion of the research and documentation, we will follow a “bottom-up” process of data modeling to integrate each group’s data model into a single Enterprise Logical Data Model.

We will finish the class participation effort by using the integrated logical data models to create an integrated Enterprise Conceptual Data Model.  A light lecture to discuss which hard and soft skill sets it takes to complete this effort at their own companies will finish the course.

William (Bill) Donlin has served as a Data Modeler, and other data architecture roles, for the past 17 years as a part of an IT career spanning almost 40 years.  Earlier in his career, he served as an Application Developer in both development and production support roles.  Mr. Donlin has created a multitude of Enterprise-Wide Conceptual and Enterprise-Wide Logical Data Models over those 17 years.  He has authored many white papers discussing topics such as: data modeling, data model content and look & feel standards, data architecture, data privacy, data governance and has created standard process flows to help newer data modelers follow a standard, stable and repeatable practice to help ensure data model consistency.