Data-driven operational models
Companies becoming data-driven redesign how they operate. The achieve 1) economies of scale, 2) economies of scope, 3) economies of learning and 4) economies of decision making by leveraging data in a systematic way.
:: Assessing to which degree business domains already leverage data to achieve economies of scale.
58% as data-driven economies of scale score shows that X has not yet sufficiently leveraged data to decrease complexity coming with the size of the company.
Data-driven economies of scale score
:: Assessing to which degree business domains already leverage data to achieve economies of scope.
56% as data-driven economies of scope score shows similarly to the economies of scale score, that X has not yet sufficiently explored how data could strengthen synergies between different entities and domains.
Data-driven economies of scope score
:: Assessing to which degree business domains already leverage data to achieve economies of learning.
57% as data-driven economies of learning score shows that X can still make significant progress in leverage data to create transparency about business activities to establish learning feedback loops to fuel accelerated and continuous improvements.
Data-driven economies of learning score
:: Assessing to which degree business domains already leverage data to achieve economies of decision making.
68% as data-driven economies of decision making score is the highest achieved economy score. This means, X has focused the use of data rather on decision making from an operating model perspective. Balancing this progress with advancements in the other areas will be critical.
Data-driven economies of decision making score
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