The Data Disconnect

Data teams work hard every day to deliver high quality data, quickly and cost-efficiently, to data customers across the business. This is a highly technical, complex, and time-consuming effort, which requires significant and expensive infrastructure, subject matter expertise, and technical skills, typically far beyond that of its customers. These potential gaps in data know-how risk creating disconnects between the data teams who govern and manage the data, and its end-users.

This disconnect can be problematic or even harmful. The business gets frustrated with what they perceive as lack of trusted data, which may cause friction, discord, churn, waste, and delays. Data functions risk being perceived as cost centers that are opaque to business and finance executives, misaligned with the business that is ultimately on the hook to generate revenue. 

Somewhat paradoxically, while many data management teams are constantly overcommitted, they have difficulty demonstrating the value of their work, in a way that finance and business executives can recognize and easily understand. 

Product Management for Data 

Other areas of the business have successfully addressed these types of issues for decades by adopting customer centric product management frameworks to drive alignment between product teams and their customers. A growing number of data teams are following suit and mitigating the problems of trust and value by productizing data, and by transforming data management functions to data product management functions. 

In this eBook, Henrik Strandberg shares experiences, insights, and suggestions on how to apply best practices from transformation and digital product management to data management. This provides a structured framework that delivers value, builds trust, and ultimately makes your stakeholders happy.

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