This panel discussion brought together data product management experts to explore how data products impact business outcomes. The conversation centered on the distinction between outputs and outcomes, the importance of focusing on net profit, and the challenges of integrating innovation within a company's core business.
Outputs are technical measures like model accuracy. Outcomes translate these into tangible business results like cost savings or improved efficiency. This distinction is vital for understanding the true impact of data products on business.
Growth should be driven by delivering value and improving efficiency, with emphasis on net profit rather than revenue alone. Growth potential can be significant, but depends heavily on industry context and business specifics.
Introducing and integrating innovation within core business is difficult. This process requires earning trust and demonstrating value incrementally, underscoring the complexity of aligning new data-driven initiatives with existing business structures and processes.
The panel highlighted varying definitions and understandings of what constitutes a data product. This diversity points to the evolving and multifaceted nature of data product management, indicating the field is still developing and subject to ongoing refinement.