Traditional RI & SP commitment approaches rely on precise usage forecasting at individual application, service or environment levels. This reflects who has the best understanding of usage needs, but it creates inefficiency, missed opportunity and inconsistency of approach.
Each team must complete its own forecasting, approval and optimization processes. Competing priorities mean optimization becomes an occasional, often reactive activity. Uncertainties of future usage and non-specialist knowledge of how to make best use of the available RI & SP options force teams to add their own margin for error with low coverage levels. There is no way to account for usage elsewhere so economies of scale are lost.