The global skills and competency framework for the digital world

Analytics INAN

The validation and analysis of significant volumes of data, including the ability to discover and quantify patterns and trends in numbers, symbols, text, sound and image. Relevant techniques may include statistical and data mining algorithms and machine learning methods such as rule induction, artificial neural networks, genetic algorithms and automated indexing systems.


Defined at these levels: 3 4 5 6 7

Analytics: Levels 1-2

This skill is not typically observed when working at these levels of responsibility.

Analytics: Level 3

Undertakes analytical activities and delivers analysis outputs, in accordance with customer needs and conforming to agreed standards.

Analytics: Level 4

Applies a variety of analytical and visualisation techniques, in consultation with experts if appropriate, and with sensitivity to the limitations of the techniques.

Analytics: Level 5

Specifies and applies appropriate analytical techniques to create information which supports business decision-making. Formats and communicates results, using textual, numeric, graphical and other visualisation methods appropriate to the target audience.

Analytics: Level 6

Establishes and manages analytical methods and techniques, such as predictive analytics, enterprise decision support, retail analytics and web analytics. Plans and implements the dissemination of methods and techniques.

Analytics: Level 7

Provides leadership and guidance for analysis of both internal and external data. Is responsible for the organisation's commitment to efficient and effective analysis of textual/numerical/visual/audio information. Identifies and establishes the veracity of external sources of information of relevance to the operational needs of the enterprise.