Choosing the Right Data Warehouse Modeling Strategy Based on your Business Needs: Kimball, Inmon, Data Vault

No one data platform can address all of your business problems and opportunities. This common misunderstanding often leads to very expensive, bloated and ineffective data platforms, ones that have to be completely re-engineered at great cost to the organization.

This presentation addresses how to ask the right questions that lead to building the right data platform (or updating an existing one) to solve your most important business needs. Do you need a data warehouse, a data vault or something else completely?

This presentation will cover multiple approaches illustrated through examples, which help you determine realistic plans and expectations that help demonstrate the value of such actions to both internal and external decision makers.

Among others, you’ll walk away with these takeaways:

How the different platforms best support different business requirements
Platform trade-offs
Why choosing the right platform matters
The right questions to ask when working on Business Requirements

Joshua Bartels is a highly qualified data management consultant and leader with ten (10) years of experience, across multiple industries, in delivering tailored data management solutions that provide focus on data’s business value while enhancing the client’s overall capability to manage data. Mr. Bartels holds certifications as a Data Management Professional (CDMP), Project Manager (PMP) and Data Vault 2.0 Practitioner (CDVP2). He holds two masters degrees for Business Administration and Information systems from Virginia Commonwealth University. His most recent efforts focus on the creation and migration to new data platforms for clients in the financial and insurance industries.

James “Michael” Lee is a Data Analyst with Data Blueprint. He received his Masters in Information Technology from Virginia Commonwealth University with a specialty in Data Warehousing, Data Engineering and Business Process Engineering. After spending several years working in the telecommunications industry as a Technical Lead for Expense Management Applications, Michael moved on to the Banking industry where he served as a primary Data Modeler for the Enterprise Data Warehousing Group. Currently Michael is working as a Consultant and ETL modeler for Data Blueprint. During his tenure with Data blueprint, Michael has expanded his skill set in the fields of Data Warehousing and Data Management by becoming certified in a number of areas including: Data Vault 2.0 Practitioner, Kimball ETL Architecture and Certified Data Management Professional (CDMP) offered through DAMA. Through these certifications and the project work in multiple industries experienced at Data Blueprint, Michael has evol