Big data, jobs and skills
A more detailed discussion
Data mining will allow job market information to be used more efficiently.
Benefits for employers
¨ Identifying locally available skilled individuals would speed up the recruitment process.
¨ If the skilled people are not there, the deficiencies can be highlighted to inform the
local training providers and individuals seeking new skills.
Benefits for job-seekers
¨ Career planning would be more effective
¨ Motivation to improve skills would increase
¨ The system would treat all citizens equally
Benefits for education & training providers
¨ Trends in employer needs would be identified, increasing the
cost effectiveness of education and training.
¨ University degrees could become more relevant to job seekers and offer even better value for money. For example, based on employer needs highlighted by the database, an Archeology degree might include explicit objectives relating to team management, document archiving, landscape design and surveying.
Whole nation benefits
¨ Training needs would be identified at a local level, increasing the cost efficiency of
¨ Reducing time lags matching up employers and new staff would lower the
"natural level of unemployment."
¨ Accurate information about workforce skills and business needs would speed up
economic recovery when important local industries fail.
¨ Social unrest and crime related to long-term unemployment would be less likely.
Features of a big data system
Employers would pay a fee for recruiting via the database. This would be a cost effective investment because it would replace traditional advertising costs and would reduce the paperwork traditionally associated with the employee selection process.
The above proposal originated as Bill Courtney’s contribution to "Working Together in the Inner-City, A Handbook for TECs, Central Government Agencies, ………" Department of Employment May 1991.
The original 1991 work was supported and improved by Bill’s line manager at the time, Graham Peake.
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