During a data migration, rules and conditions are written in code. Humans manually translate that code into clear, natural language.
Migration standardization helps guide human writers to best practices.
Consultants have a time-consuming, tedious task of turning that code into natural language that others can follow.
However, this guidance isn't always optimized and may be too technical for some readers.
The system can make suggestions to those drafting the natural language rules, guiding them to the best practices of business vocabulary.
Migration standardization helps the process happen more efficiently and at scale.
Ultimately, with enough analysis, some rule creation could be automated, further accelerating the process.