The global skills and competency framework for the digital world

SFIA View: Data and analytics Beta

Data and analytics

None

Data management DATM

(modified)

Developing and implementing plans, policies and practices that control, protect and optimise the value and governance of data assets.

Data modelling and design DTAN

(modified)

Developing models and diagrams to represent, communicate and manage data requirements and data assets.

Database design DBDS

(modified)

Specifying, designing and maintaining mechanisms for storing and accessing data across various environments and platforms.

Data analytics DAAN

(new)

Enabling data-driven decision making by extracting, analysing and communicating insights from structured and unstructured data.

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

(modified)

Developing systems that learn from data and experience, improving performance, accuracy and adaptability in dynamic environments.

Business intelligence BINT

(unchanged)

Developing, producing and delivering regular and one-off management information to provide insights and aid decision-making.

Data engineering DENG

(modified)

Designing, building, operationalising, securing and monitoring data pipelines, stores and real-time processing systems for scalable and reliable data management.

Data visualisation VISL

(modified)

Facilitating understanding of data by displaying concepts, ideas and facts using graphical representations.