There are many theories stating they can help companies reach a data-driven state, but these approaches often fail because they were designed to be universal rather than address the individual organization's specific needs.
The SEI team goes beyond just theory and presents a case study of how our custom methodology has been proven successful in the real world and why it works.
In this guide, we explore the differences between being data-aware and data-driven and guide you through our custom methodology, where we leave no stone unturned. From what we did to the challenges we faced, you'll see why our custom model for achieving a data-driven state actually works.
