Forecast Competency Migration by a Methodology of Competency Analytics

Abstract

Competency migration is an evolution from one competence profile to another. A basic task in forecasting competency migration is comparing competency data. It is both methodological and technological challenge to make competency data comparable syntactically and semantically, since they vary in purpose, origin, assumption and format. The paper describes a knowledge- based data processing approach to competency forecasting. It combines knowledge and data engineering methodologies and takes advantage of knowledge technologies, with the aim at objective, comprehensive, consistent, traceable and scalable analysis. The competency data are collected from Gas, Power, Waste and Water industries and analyzed for skill foresights into 2030 in a research programme at Energy & Utility Skills Group, UK.