Understand Data Products and Data Product Management

The increasing demand for data-driven decision-making has led to the rise of a new role in the world of data and analytics: the data product manager. This article will provide an in-depth look at data products, the role of a data product manager, how to develop the necessary skills, and the distinction between data product managers and traditional product managers. Additionally, we’ll explore the essential tools required for a successful data product manager.

What is a data product?

A data product is a solution or application that is developed using data and analytics to address specific business needs or solve a particular problem. Data products help organizations make informed decisions by leveraging the power of data. Examples of data products include recommendation engines, fraud detection systems, and customer segmentation models.

Role of a Data Product Manager

A data product manager (DPM) is responsible for overseeing the development, management, and success of data products within an organization. They work at the intersection of data, technology, and business, and act as a bridge between the data science team and the business stakeholders. Key responsibilities of a DPM include: