THE DATA-DRIVEN INNOVATION FRAMEWORK FOR BUSINESS OPPORTUNITIES
The Data-driven Innovation (DDI) Framework
Addresses the challenges of identifying and scoping of data-driven innovation in an efficient manner
Will guide you in scoping promising data-driven business opportunities by reflecting the dynamics of supply and demand:
It is based on a conceptual ontology that is able to describe the most important dimensions of supply and demand of data-driven innovation
It is backed by empirical data and scientific research
Was developed and tested in the context of the Horizon 2020 BDVe project.
The DDI Framework encompasses a Canvas and Guiding questions
The DDI Canvas will guide you explore all relevant dimensions of on the supply and demand side of a data-driven innovation
The DDI Guiding Questions will guide you through the process of addressing answering all aspects questions required for exploring, scoping and implementing data-driven innovations.
0
Dimensions describe the supply and demand side of data-driven innovation
Value Proposition
What are user needs?
Data & Technology
What data and technology is required for your application?
Partner / Ecosystem
For what reason do you need to partner? What are you planning to do yourself? How to establish the partnership?
Network strategy
How to harness network effects?
Revenue Strategy & Type of business
How to make money? And how to bring our product to the market?
How to use the DDI Framework?
Step1
Brainstorming the Supply Side
Step 2
Scoping your Offering
Step 3
Brainstorming the Demand Side
Step 4
Scoping your Data-Driven Solution
The DDI Framework is based on empirical research
Based on our results of a quantitative and representative study of more than 90 data-driven business opportunities
We identified success patterns of successful data-driven Innovation
