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    Data-driven operational models

    Data-driven operational models

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    Observatory
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    Data maturity
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    Astronauts
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    Readiness of business data
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    Data driven level business models
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    Data driven level operational models
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    Data driven level human resources
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    Data driven initiative pipelines
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    Value of launched initiatives
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    Readiness of information factory
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    Readiness of data pipelines
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    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.

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    Data-driven economies of scale

    :: Assessing to which degree business domains already leverage data to achieve economies of scale.

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    Why care about this?

    Traditionally companies reach a limit where they cannot further grow as the complexity coming from the size of the organisation is creating too much overhead. Companies that embed data in their operating models are able to reduce the complexity significantly and benefit further from synergies 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

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    Data-driven economies of scope

    :: Assessing to which degree business domains already leverage data to achieve economies of scope.

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    Why care about this?

    Synergies between business domains is one of the driving reasons of a corporation to embed different activities within the same company. However, traditional companies face significant challenges to reach synergies between business activities. Data as a shared asset can strengthen the synergies between business domains, resulting in increased 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

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    Data-driven economies of learning

    :: Assessing to which degree business domains already leverage data to achieve economies of learning.

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    Why care about this?

    Data-driven transformation of business activities creates transparency and allows for systematic feedback loops. This allows data-driven companies to improve faster than their traditional peers.

    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

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    Data-driven economies of decision making

    :: Assessing to which degree business domains already leverage data to achieve economies of decision making.

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    Why care about this?

    Data has traditionally been used to support decision making. However, most decisions within the company are not yet based on sufficient evidence. Companies who truly become data-driven systematically assess which decisions can be further strengthened through the right data, while reducing biases and noise.

    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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