Today, data plays a key role in decision-making, and two professions stand out for their ability to exploit it effectively: the Data Scientist and the Data Product Manager. Although their missions sometimes overlap, their approaches and responsibilities are distinct.
To better understand the difference between these roles, let's imagine a car. The Data Scientist is the mechanic who adjusts the engine, optimising the predictive models. The Data Product Manager, on the other hand, is the driver who sets the direction, ensuring that the product is aligned with business needs. Together, they ensure that the vehicle moves efficiently towards its objective.
A new role has come to the fore: that of Data Product Manager. But why has this job become so crucial? What skills and responsibilities does this professional bring, and how does he or she contribute to transforming data into real growth drivers for the business? Let's find out how the Data Product Manager fills a strategic need for modern organisations.
Have you ever thought about what makes digital products so effective? Behind every well thought-out functionality there is often a Data Product Manager (DPM), an expert who makes the link between data, technology and user needs. This role, still new but increasingly in demand, transforms raw data into useful and intuitive products.
So what skills do you need to succeed in this hybrid job? Let's explore what makes a good Data Product Manager.
But what exactly is Data Product Management, and why is it essential for data-driven businesses? This article explores the basics of Data Product Management, its fundamental principles and how it helps transform data into valuable products for users.
EN 
FR 
