Logo

    Data-driven levels of human resources

    Data-driven levels of human resources

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

    All

    Entity

    Domain

    Region

    ‣
    Compare

    None

    Over time

    Benchmark

    Business domain experts are the driving force to envision and build the data-driven future of the company. Assessing their ability to do so is critical along 4 dimensions: 1) their delivery skills defining their ability to leverage data to improve the current, 2) their discovery skills defining their ability to leverage data to explore the new, 3) their data literacy to have realistic ambitions through data and educated collaborations with data experts, and 4) the level of support by data experts for business domain experts.

    icon
    Delivery skills of employees

    :: Assessing the ability of employees to innovate in the current.

    ‣
    Why care about this?

    In order to leverage data to improve the way that business is done today, employees need to have high delivery scores. Domains where delivery scores are high can be prioritised to build data-driven light house projects.

    64% as delivery score is rather small compared to the discovery score. However, the data has a high spread, reflecting the multitude of different profiles within X. Identifying the right people to lead data-driven innovations to improve the current will be key.

    Delivery Skill Score

    icon
    Discovery skills of employees

    :: Assessing the ability of employees to innovate in the new.

    ‣
    Why care about this?

    Reinventing the firm through data depends on the ability of employees to discover the new. Domains with high discovery scores are well equipped to explore more radical innovations through data.

    74% as discovery skill score is fairly high, showing the appetite of X executives to discover new things and try think outside of the box.

    Discovery Skill Score

    icon
    Data literacy of employees

    :: Assessing the data education level of employees from business domains.

    ‣
    Why care about this?

    Regardless if the focus is radical innovation through discovery or incremental improvements through delivery, the education level of employees to understand the fundamentals of data and Artificial Intelligence is critical to design meaningful data-driven innovations and facilitate the collaboration with data partners.

    65% as data literacy score shows the need to further strengthen technical fundamentals for business domain experts.

    Data Literacy Score

    65/100

    icon
    Data expert support for business experts

    :: Assessing to which degree business domain experts are supported by data experts.

    ‣
    Why care about this?

    While business domain experts are in the driving seat to lead the data-driven transformation, they require sufficient support by data experts in translating their domain expertise into data-driven projects, testing assumptions and move from initial ideas to implementations at scale.

    17% as data expert support is an alarming figure. This means that the business domains do not sufficiently supported by the data side to realize the business ambitions.

    Data Expert Support Score

    image

    © OAO 2023 Privacy Policy Cookie Policy Terms and Conditions

    ‣
    Hidden