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    Readiness of Business for Data

    Readiness of Business for Data

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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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    Benchmark

    Business domains within the various X planets need to be in the driving seat of how data and AI can advance their business objectives. The value needs to be created de-centrally, close to the business reality. Moving to this business domain pull instead of a data teams push, requires that the business side reaches a sufficient maturity to leverage data in a meaningful way, along 4 areas: 1) Leveraging data to redefine the Business Model logic, 2) Redesign the Operating Model through data, 3) Increasing the maturity of the human resources and human resource systems for data, and 4) the ability of the business domain to systematically translate business needs into data-driven initiatives.

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    Data-Driven level of Business Models

    :: Assessing to which degree the business domains leverage data to rethink their Value Proposition, Value Architecture and Value Retention.

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    Why care about this?

    Data-driven transformation of the economy redefines why companies win in markets. The business domains need to leverage data to redefine their Value Propositions (whom to offer which value through which channels & relationships), Value Architecture (how to create this value through the right resources, activities and partners), and Value Retention (how to keep the value for the own company by rethinking revenue and cost patterns).

    56% as Data-Driven Business Models Score shows that the business domains are not yet sufficiently incorporating data in their business strategy logic. This needs to be improved if business domains aim to drive data adoption. Feel free to Zoom in and discover the drivers behind the Data-Driven Business Models Score.

    Data-Driven Business Models Score

    56/100

    https://oao.xyz/lyman/data-mature-planets/business-for-data/business-models
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    Data-Driven level of Operating Models

    :: Assessing to which degree the business domains leverage data within their Operating Models to benefit from data-driven economies.

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    Why care about this?

    The Operating Models (the way how you bring your business models to live by specifying processes, organizational structures, IT infrastructures…) can significantly benefit from data-driven economies of scale, scope, learning and decision making.

    60% as Data-Driven Operating Models Score shows more mature thinking than in business strategy of the role of data, but still leaves much room for improvement. Feel free to Zoom in and discover the drivers behind the Data-Driven Operating Models Score.

    Data-Driven Operating Models Score

    60/100

    https://oao.xyz/lyman/data-mature-planets/business-for-data/operational-models
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    Data-Driven level of Human Resources

    :: Assessing to which degree the Human Resources (employees) and Human Resource systems are ready for data.

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    Why care about this?

    On the one hand, employees need to be ready to discover the data space, on the other hand, the business context shaped by HR systems and available support for business domains need to be aligned with the ambition to become a data-driven company.

    55% as Data-Driven Human Resource Score score shows that further investment in X’s Human Capital is needed to foster data-driven transformation. Feel free to Zoom in and discover the drivers behind the Data-Driven Human Resource Score.

    Data-Driven Human Resource Score

    55/100

    https://oao.xyz/lyman/data-mature-planets/business-for-data/human-ressources
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    Level of the Data-Driven Initiative Funnel

    :: Assessing if the organisation is sufficiently working on Data-Driven use cases in a systematic way.

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    Why care about this?

    Business domains developing data-driven use cases represents the translation of vague data ambitions into concrete projects to achieve business objectives through data. Those initiatives unlock potential value for the company, while the development process serves as mirror to the company on what needs to be transformed and which information capital is critical to build up.

    Feel free to Zoom in and discover further details on the Data-Driven Initiative Funnel.

    https://oao.xyz/lyman/data-mature-planets/business-for-data/initiative-funnel
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