News & Insights > Studies > Data quality: get clean, stay clean!

  •  By Didier Richaudeau

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.

Key expert

Didier Richaudeau

Didier Richaudeau

Data associate

Contact
Qualité des données:  get clean, stay clean !

Download

*Mandatory fiels

                Read more

                This website uses cookies.
                Show details

                HUBDAY Data & AI for Business

                We will be at HUBDAY Data & AI... see you on April 14th!