SFIA View: Data and analytics
Data and analytics
(new)
Data management DATM
(unchanged)
Developing and implementing plans, policies, and practices that control, protect and optimise the value of data assets.
Data modelling and design DTAN
(unchanged)
Developing models and diagrams to represent and communicate data requirements and data assets.
Database design DBDS
(unchanged)
Specifying, designing and maintaining mechanisms for storing and accessing data.
Data engineering DENG
(unchanged)
Designing, building, operationalising, securing and monitoring data pipelines and data stores.
Database administration DBAD
(modified)
Installing, configuring, monitoring, maintaining databases and data stores, ensuring performance, security, and adapting to evolving technologies.
Data science DATS
(unchanged)
Applying mathematics, statistics, data mining and predictive modelling techniques to gain insights, predict behaviours and generate value from data.
Machine learning MLNG
(unchanged)
Developing systems that learn through experience and by the use of data.
Business intelligence BINT
(unchanged)
Developing, producing and delivering regular and one-off management information to provide insights and aid decision-making.
Data visualisation VISL
(unchanged)
Facilitating understanding of data by displaying concepts, ideas, and facts using graphical representations.