SFIA View: Data and analytics
Data and analytics
Data analytics DAAN
Enabling data-driven decision making by extracting, analysing and communicating insights from structured and unstructured data.
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 from data and experience, improving performance, accuracy and adaptability in dynamic environments.
Data visualisation VISL
Facilitating understanding of data by displaying concepts, ideas and facts using graphical representations.
Business intelligence BINT
Developing, producing and delivering regular and one-off management information to provide insights and aid decision-making.
Data modelling and design DTAN
Developing models and diagrams to represent, communicate and manage data requirements and data assets.
Database design DBDS
Specifying, designing and maintaining mechanisms for storing and accessing data across various environments and platforms.
Data engineering DENG
Designing, building, operationalising, securing and monitoring data pipelines, stores and real-time processing systems for scalable and reliable data management.