The landscape of data warehousing has undergone a profound transformation since its inception in the 1970s. What began as a concept for centralizing corporate data has evolved into a complex ecosystem of technologies, languages, and architectures. This evolution reflects not only advancements in technology but also changing business needs and the exponential growth of data as an asset.

Many organizations have recognized the need to enhance their data management capabilities. The traditional response has been to centralize these efforts, often by appointing a Chief Data Officer (CDO). However, this well-intentioned approach often leads to challenges and resistance within the organization.