In the data industry, the use of buzzwords such as "data stacks" and "data ecosystems" is common to describe the complex processes of managing data, although these terms are metaphorical rather than literal. While terms like these are generally understood among data engineers, concepts such as "data quality" and "data quality management" are less consistently defined, leading to varied interpretations. This inconsistency is compounded by the overwhelming number of enterprise solutions that fail to address practical data issues effectively. There is a need for precise definitions and concrete examples to clarify these concepts and improve understanding within the field.