From data thinking to data solution

The initial phase is followed by specific development steps and cycles that pave the way to actual applications and solutions – the Data Solution itself.
This constructive phase is characterized by practicerelevance and usability. Using conventional consultancy approaches and methods, the result might be, for example, confirmation that a data case is feasible and an indication of how it could work.

However, the whole process grinds to a halt after the prototyping or proof of concept stage.
In contrast, Data Thinking goes much further. Rather than setting prototyping as the objective, it focuses on product maturity from the outset; use and application are considered as the next step in the process chain throughout.