Profession chief data officer

Chief data officers manage companies' enterprise-wide data administration and data mining functions. They ensure data are used as a strategic business asset at the executive level and implement and support a more collaborative and aligned information management infrastructure for the benefit of the organisation at large.

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Personality Type

  • Enterprising / Conventional

Knowledge

  • Business processes

    Processes which an organisation applies to improve efficiency, set new objectives and reach goals in a profitable and timely manner.

  • Visual presentation techniques

    The visual representation and interaction techniques, such as histograms, scatter plots, surface plots, tree maps and parallel coordinate plots, that can be used to present abstract numerical and non-numerical data, in order to reinforce the human understanding of this information.

  • Data storage

    The physical and technical concepts of how digital data storage is organised in specific schemes both locally, such as hard-drives and random-access memories (RAM) and remotely, via network, internet or cloud.

  • Information structure

    The type of infrastructure which defines the format of data: semi-structured, unstructured and structured.

  • Data mining

    The methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset.

  • Decision support systems

    The ICT systems that can be used to support business or organisational decision making.

Skills

  • Define data quality criteria

    Specify the criteria by which data quality is measured for business purposes, such as inconsistencies, incompleteness, usability for purpose and accuracy.

  • Utilise decision support system

    Use the available ICT systems that can be used to support business or organisational decision making.

  • Manage data

    Administer all types of data resources through their lifecycle by performing data profiling, parsing, standardisation, identity resolution, cleansing, enhancement and auditing. Ensure the data is fit for purpose, using specialised ICT tools to fulfil the data quality criteria.

  • Manage ICT data architecture

    Oversee regulations and use ICT techniques to define the information systems architecture and to control data gathering, storing, consolidation, arrangement and usage in an organisation.

  • Manage ICT data classification

    Oversee the classification system an organisation uses to organise its data. Assign an owner to each data concept or bulk of concepts and determine the value of each item of data.

  • Apply information security policies

    Implement policies, methods and regulations for data and information security in order to respect confidentiality, integrity and availability principles.

Optional knowledge and skills

integrate ict data ldap coordinate technological activities develop information security strategy apply change management teradata database deliver visual presentation of data openedge database database resource description framework query language objectstore report analysis results sql server data models database management systems linq implement ict risk management sparql business intelligence information security strategy db2 filemaker (database management systems) postgresql microsoft access information architecture unstructured data ibm informix n1ql online analytical processing information categorisation mdx query languages data quality assessment manage business knowledge information confidentiality information extraction cloud technologies mysql oracle relational database xquery database development tools ca datacom/db