Because it is at the heart of the failure or success of an innovative project, data quality must be a subject of real attention from companies. An approach often perceived as a cost rather than a profit center. Systematizing an approach based on data quality is nevertheless beneficial to all companies.
Alignment of stakeholders, deployment, upstream integration of problems... our 6 recommendations for effective data governance, to be found in our booklet "Data quality: get clean, stay clean!".
Since the impact of poorly qualified data on non-performance can prove to be major, quality management must be seen as a performance lever.