Business Case Template Wharton - Case: easynav query 2 – productiveness loss110 math question due to market modifications, the group believes that productivity consistent with fte has dropped over the last 5 years. Due to the fact extra complex price range take more manpower to manner, easynav normalizes the problem of each fund by means of assigning price range a “complexity point rating,” which allows a fair fund-to-fund evaluation (e.G., A fund with complexity score 15 takes three times as lengthy to system as a fund with complexity score five). The crew wishes to decide the extent of severity of this productiveness drop. To do this, facts in show off 1 has been collected. The use of this data and some other information you might deem necessary, what's the percentage drop in productivity during the last five years, where “productivity” may be expressed as complexity points in line with fte? Information to provide up the front average method, suitable shortcuts & solutionexhibit 1 need to be furnished after problem announcement is examine. Answer: 20 drop in productivity offer records if requested- huge price range have an average of 10 complexity points every- small budget have a mean of 20 complexity factors every- quantity of big finances has grown 25 during the last 5 years- quantity of small finances has grown one hundred twenty over the last five years- range of fund accountant ftes has grown a hundred and fifty the past five year.
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Case: easynav query three – solution112 math solution answer: easynav will save $750,000/12 months, or about 15 of total ny fte spend - time area conversion: 4-6pm peak duration in ny is 8-10am in melbourne - available sources in melbourne: -from the showcase, average usage in melbourne from 8-10am is 60, therefore there is 20 capacity earlier than achieving the 80 threshold (common utilization can't exceed eighty during any duration of the day) -therefore, 20*60 fte = 12 ftes available to assist the big apple -new resource requirement in new york by means of using melbourne: -all through the peak time of four-6pm, the big apple has a median of eighty fte usage, which means that 80*one hundred ftes = 80 ftes wanted/working all through this time -by means of utilising melbourne, easynav can reduce the 80 fte call for via 12: eighty-12 = sixty eight ftes required in big apple -financial savings because of reduction of fte requirements in ny: -easynav can reduce personnel in ny in order that the sixty eight ftes required at some point of the height time constitute 80 staffing necessities -consequently, 68 ftes/eighty = 85 ftes -fte financial savings of one hundred-eighty five = 15 ftes -dollar savings of 15 ftes*$50,000 = $750,0000.