The global skills and competency framework for the digital world

SFIA View: Data and analytics

Data and analytics

(new)

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

(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 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, with the capability to improve performance over time.

Business intelligence BINT

(unchanged)

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

Data engineering DENG

(unchanged)

Designing, building, operationalising, securing and monitoring data pipelines and data stores.

Data visualisation VISL

(unchanged)

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

Database administration DBAD

(modified)

Installing, configuring, monitoring, maintaining databases and data stores, ensuring performance and security while adapting to evolving technologies.