Redefining Insight Delivery: How Implementing Data Product Management Helps Businesses Make Better, Data-Driven Decisions

Take a glimpse into the operations of any modern company and you’d be confronted with an overwhelming connection to data. Understandably so, given data in the right hands can be a catalyst for informed decision-making and innovation. But the truth is, companies have been pouring colossal funds into data infrastructure, to the tune of billions of dollars, while the actual utilization of collected data often leaves much to be desired.

So, does the flaw lie in the data or its interpreters? It begs introspection into whether we are looking at a data quality issue or a data trust issue. With working pipelines and sound SQL, why is the output met with skepticism? The problem perhaps lies not in engineering, but in the product’s design itself. Systems are not built for easy interpretation or decision-making, and this lack of usability can engender mistrust among data users.

This predicament necessitates the introduction of a crucial role—the data product manager. Specializing in navigating the difficult terrain of disparate, dense and often fragile data, this role has been gaining significance across leading companies. The data product manager’s function bridges the gap between data and product, focusing on ensuring data usability and trust, and transforming an overwhelming data landscape into a strategic business asset.