Insights

Strategy is simply the interplay between decision making and timing. A data strategy limits the scope to just decisions regarding value-creation from data.

Big data refers to large, complex data sets often contrived from multiple and new sources. The reason that “big data” has received its own term (after all, it really just means larger datasets) is due to the added complexity that comes with simply adding more data, particularly from multiple sources. 

Data Vault modelling is a good option to consider when the goal of the data warehouse is to keep a historical record of changes and when data from multiple source systems needs to be combined.

We have all seen IT projects that implement new and shiny tech toys. We’ve also seen well-meaning managers driving their analytics projects without executive buy-in.

Aginic Analyst and all round legend Nat Dronova shares some thoughts around closing the gap between knowing that Data Vault is an option for your Data Warehouse and knowing how to implement it.