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