Strategic management of data products creates tangible business value and fosters innovation through three key phases: Product Strategy, Value Validation, and Value Creation.

Product Strategy

Product Strategy establishes the foundation for data product management. Define vision, mission, goals, and metrics for each product domain and align them with business objectives. Understand the types of data products (platforms, data, metrics, analytics, and AI) and determine how they fit into the portfolio strategy, ensuring each type aligns with strategic direction.

Value Validation

Value Validation separates potential product ideas from viable ones. Run experiments, conduct business case analyses, and engage in customer interviews to validate feasibility, desirability, viability, and data ability. This ensures resources are allocated to products most likely to succeed and deliver value.

Value Creation

Value Creation transforms validated ideas into actual products. Cross-functional teams of data scientists, engineers, and other professionals develop and implement products. Data product managers oversee the process, ensuring products align with validated value and meet strategic objectives.

Portfolio Mindset

Strategic management requires a portfolio mindset. Data product managers act like asset class portfolio managers, betting on the right products to maximize outcomes. Provide them with clear objectives and authority to make decisions. They manage cross-functional teams, not traditional line reports, ensuring data products contribute effectively to business strategy.