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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- Decision support systems
The ICT systems that can be used to support business or organisational decision making.
- 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.
- 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.
- 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.
- Apply information security policies
Implement policies, methods and regulations for data and information security in order to respect confidentiality, integrity and availability principles.
- 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.
- 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.
- 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.
Optional knowledge and skillssql server data quality assessment information architecture db2 database development tools develop information security strategy ca datacom/db unstructured data mdx openedge database cloud technologies linq data models information confidentiality sparql manage business knowledge information categorisation microsoft access xquery database information extraction oracle relational database apply change management database management systems query languages report analysis results online analytical processing postgresql mysql implement ict risk management coordinate technological activities information security strategy n1ql business intelligence filemaker (database management systems) integrate ict data teradata database resource description framework query language ibm informix deliver visual presentation of data ldap objectstore
Source: Sisyphus ODB