Central government staff costs
Results of staff reductions The British NAO found that departments had significantly reduced numbers of their civil servants and of course salary costs at the same time. But they reduced staff numbers mainly by minimising recruitment, and the age profile of the civil service has changed. NAO pays a lot attention to what effect this has had on the future pipeline of talent and skills. It reminds also that the departments need long-term operating models to work efficiently with the staff reduced.
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Management of State Information Resources
model; rationality of the use of the State Budget funds when managing information resources; use of the possibilities of the state information resources to improve the performance of the public sector ... The objective of the audit was to assess effectiveness of the management of the state information resources and of the use of their possibilities: suitability of the chosen state resources management ... . Audit procedures were performed in all major institutions which form and implement the policy of information resources: Ministry of Transport and Communications, Ministry of the Interior, Ministry ... Well targeted requirements, interconnected information resources and broad use - why so difficult to be gained? ... The leading idea of the 'Approach to Management of State Information Resources' programme was to entrench a comprehensive management of data resources. After five years preparations, the desired ... momentum was still not the case. SAI Lithuania analysed roots of the problems: concept, poor use of funds, lack of interconnections, unsatified users.
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Identifying and meeting central government's skills requirements
Start with well managed responsibilities UK Departments have invested heavily in skills development. Government estimates that expenditure on formal training, including salary costs of departmental learning and development staff, was £275 million in 2009-10. NAO identified weaknesses of the system which start with devolved responsibilities, lead to: weak data, mis-profiled trainings, doubtful personal decisions, lack of well-targeted evaluation - and finish at more expensive buying-in and retaining key skills...
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