About Big Data Value Association

The Data-Driven Innovation (DDI) Framework systematically addresses the challenges of identifying and exploring data-driven innovations. It guides start-ups, entrepreneurs and established companies alike in scoping promising data business opportunities by analysing both the dynamics of supply and demand.

The Data-Driven Innovation (DDI) Framework systematically addresses the challenges of identifying and exploring data-driven innovations. It guides start-ups, entrepreneurs and established companies alike in scoping promising data business opportunities by analysing both the dynamics of supply and demand.

The DDI Framework is based on a conceptual model plus empirical research. The framework describes all relevant aspects of any generic data-driven business. On the supply side, the focus is on the development of new offerings. For a clearly defined value proposition, this includes identifying and accessing required data sources, as well as the analysis of underlying technologies. On the demand side, the focus is on understanding the dynamics of the addressed markets and associated ecosystems. Our approach includes the development of a revenue strategy, a way forward of how to harness network effects as well as an understanding of the type of business.

As data-driven innovations are never done in isolation, identifying potential partners and a viable ecosystem helps to align those both sides of supply and demand in order to achieve a competitive advantage.

Explore the DDI Canvas website here