Data is omnipresent for organizations undergoing digital transformation. It is no longer just a matter of reporting or BI. The advent of Big Data and Data Science requires a true capacity to create value through Data.
The emergence of the roles of Chief Data Officer (CDO) materializes the awareness of organizations to this effect. Samir Amellal is a CDO present and active on transformational data subjects, from government, startups, to the private sector.
We have dedicated this interview to the subject of Data Quality, a paradigm that is becoming a prerequisite. Data Quality aligns with Quality Engineering practices, forcing Data systems to continuously create value.
We were able to address the following topics:
- Why Data Quality is part of the company’s strategic priorities
- What definition and what value creation challenges for Data Quality
- How Data Quality Applies the Quality Engineering paradigm
- How Data Quality can be composed with DataOps, Data Mesh and AI
- What external factors accelerate the need to address Data Quality
- What products, solutions and opportunities emerge in the ecosystem
