Data-driven level of business models
Companies succeeding in their data-driven transformation rethink the logic of how they win in markets from a business strategy perspective. Therefore they engage in data-driven business model innovation to outperform their competitors within their 1) Value Proposition logic, 2) Value Architecture logic, and 3) Value Retention logic. Assessing to which degree the own business domains already leverage data in their business model logic provides a good understanding how strongly the company can already compete in a new data-driven competitive space.
Data-driven level of Value Propositions
:: Assessing to which degree business domains already leverage data for their Value Propositions.
57% as Value Propositions score of leveraging data shows much room for improvement to leverage data to rethink which value to offer whom and how.
Data-Driven Score of Value Propositions
57/100
:: Assessing to which degree business domains already leverage data for their Value Architectures.
58% as Value Architectures score of leveraging data shows little improvement over the Value Proposition score. Here is well the potential of data is not sufficiently explored.
Data-Driven Score of Value Architectures
58/100
:: Assessing to which degree business domains already leverage data for their Value Retentions.
54% as Value Retentions score of leveraging data highlights the need to further explore how more value can be captured and retained for X through data.
Data-Driven Score of Value Retentions
54/100
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