Drown in the Data Deluge: Discover How Data Product Managers Align Insights and Debunk Data Distrust in Corporations.

In the last decade, companies have invested billions in data infrastructure, from petabyte-scale warehouses to machine learning platforms. Yet, despite this investment, one truth persists: data isn’t the problem - product thinking is. In this sea of data, we often find conflicting information and interpretations – depending on the viewer, the lens and even the moment.

In the early days, data teams essentially operated like internal consultancies, existing in a reactive, ticket-based, hero-driven environment. This model sufficed when data requests were minor and stakes remained low. However, as companies embarked on becoming data-driven, this model began to crumble under its increasing demand.

On closer examination, what seemed like a data quality issue was actually a data trust issue. Despite sound data pipelines and SQL, the outputs were not trusted because the systems were not designed with usability, interpretability, or decision-making in mind.

Enter the Data Product Manager (DPM), a new role that is slowly gaining traction in large organizations. Data Product Managers operate across cross-functional terrains, aligning insights, strengthening trust in data, and ensuring it serves the company’s strategic objectives. In the world of data, they serve as translators, navigators, and gatekeepers - playing a crucial role in overcoming the challenges of data alignment, trust, and ultimately, adding value to organizations.