Data Vault Ensemble Modeling

Architectures in BI – where do we find the whole truth?

Michael Müller

After years of total tool focus, BI is now less about the tools. In the last years there has been quite a lot of good conceptual and architectural work published. This work covers either the business side or the technical side. Either about data strategy and how govern data or about how to integrate and valorize data. But there are very few connections between individual concepts. The gap between Business and IT seems to get bigger.

How can we generate value instead of bigger gaps?

Basic human interaction is always about respecting and fulfilling the needs of all participating parties. It is time to look at the participants in BI and their needs in order to create common ground.

Therefore we will start with data strategy, continue with data governance and the process of ‘how to request new data, information or insights’. Finally, we will look at current architectures for data integration / data valorization.

The focus of this tour will be on the value of those efforts and the interrelation between these parts. For each relation we will look at the needs at both ends and at the consequences, if we don’t do this effort and not fulfill the needs. This will create a map that is a good start for a company to plan a complete BI architecture, by minimizing the effort and still enables all parties to work together. From there a company can grow and evolve with their BI, their data strategy and embrace the future.

Michael Müller has been working as a consultant in the field of Business Intelligence for almost 20 years. He focuses on data modeling and architectures, data vault and data warehouse automation. Currently researching architectures and collaboration in BI. He is on the board of directors of the German-speaking Data Vault User Group.