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The European e-Competence Framework

e-cfexpl

 

The e-Competence Framework, is a tool to describe the skills of professionals in ICT-related roles.The e-CF is a reference for job and role descriptions, skill development, training and education.The framework has been developed by a large number of European ICT and  HR experts in the context of the CEN Workshop on ICT Skills.The European e-Competence Framework is structured from four dimensions. These dimensions reflect different levels of business and human resource planning requirements in addition to job/ work proficiency guidelines.

 

The four dimensions of the e-CF are specified as follows:

The 40 e-competencies of the e-CF

Click on the competency code in the list for the full description.

Dimension 1
e-competence area
Manage
Dimension 2
e-Competence: Title + generic description
E.1 Forecast Development
Interprets market needs and evaluates market acceptance of products or services. Assesses the organisations potential to meet future production and quality requirements. Applies relevant metrics to enable accurate decision making in support of production, marketing, sales and distribution functions.
Dimension 3
e-Competence proficiency levels (on e-CF levels e-1 to e-5, related to EQF levels 3 to 8
Level 3
Exploits skills to provide short-term forecast using market inputs and assessing the organisations production and selling capabilities.

Level 4
Acts with wide ranging accountability for the production of a long-term forecast. Understands the global marketplace, identifying and evaluating relevant inputs from the broader business, political and social context.

Dimension 4
Knowledge examples Knows/ Aware of/ Familiar with:
- K1 market size and relevant fluctuations
- K2 accessibility of the market according to current conditions (e.g. government policies, emerging technologies, social and cultural trends, etc.)
- K3 the extended supply chain operation
- K4 large scale data analysis techniques (data mining)
Skills examples Able to:
- S1 apply what-if techniques to produce realistic outlooks
- S2 generate sales forecasts in relation to current market share
- S3 generate production forecasts taking into account manufacturing capacity
- S4 compare sales and production forecasts and analyse potential mismatches
- S5 interpret external research data and analyse information

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