Data innovation

Quoted from the UK GDaD PCF.

Levels

1. Awareness

You can:

• develop a basic understanding of an unfamiliar or emerging technology, or a familiar technology in a new data context, with guidance
• share what you learn with colleagues, including how it could help deliver more value from data

2. Working

You can:

• experiment with unfamiliar and emerging technologies, or familiar technologies in new data contexts, with guidance
• share what you learn with the team, explaining potential benefits, risks, and practical considerations
• identify opportunities to apply technology to improve data processes or outcomes in an operational setting or the wider organisation

3. Practitioner

You can:

• test and evaluate the feasibility of unfamiliar and emerging technologies, or familiar technologies in new data contexts
• share what you learn with the organisation, explaining potential benefits, risks, and practical considerations
• recommend, design and implement innovative data solutions based on organisation objectives, user needs, and operational constraints

4. Expert

You can:

• advocate for adoption of unfamiliar and emerging technologies, or familiar technologies in new data contexts, ensuring organisation objectives, user needs, and operational constraints inform decisions
• develop organisational capability in data innovation through leadership
• anticipate future technology changes and advise how to take advantage of them to realise value from data

Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.

Closest ESCO skills

• innovate in ICT (close match)
• emergent technologies (narrow match)

Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.

Role levels that expect this skill