Matinale Data Strategy & Mesure de ROI

The era of "free money" for Data is over, and companies now demand a clear ROI from the Data & AI initiatives that have been prioritized. The ability to estimate and measure value is becoming essential to better steer strategy and demonstrate positive impact within organizations.

Although well known to every leader, this topic is complex to address, and questions inevitably emerge:

\- Is it possible to estimate and/or measure a reliable ROI for a data initiative? How do you align roadmaps and practices between Data, Product and Engineering teams to properly deliver and measure value?

\- How do you balance your Data & AI initiative portfolio between short term and long term? How do you arbitrate between company objectives: operational efficiency, business topics, risk reduction, CSR, etc.?

\- How do you prioritize the "right" topics: watch/innovation initiatives, new use cases, maintenance/evolution of use cases in production, foundations (platform, maintainability, technical debt…), compliance work (regulatory, etc.), security, the data governance policy, upskilling, etc.?

The goal of this event is to give you the keys to tackle these unavoidable exercises with more confidence, drawing on real-world experience.