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某咨詢分析方法varianceanalysis(專業(yè)版)

  

【正文】 :08:2304:08Mar2312Mar23 1越是無(wú)能的人,越喜歡挑剔別人的錯(cuò)兒。 :08:2304:08:23March 12, 2023 1他鄉(xiāng)生白發(fā),舊國(guó)見(jiàn)青山。 04:08:2304:08:2304:083/12/2023 4:08:23 AM 1以我獨(dú)沈久,愧君相見(jiàn)頻。 上午 4時(shí) 8分 23秒 上午 4時(shí) 8分 04:08: 楊柳散和風(fēng),青山澹吾慮。 :08:2304:08:23March 12, 2023 1意志堅(jiān)強(qiáng)的人能把世界放在手中像泥塊一樣任意揉捏。 2023年 3月 12日星期日 4時(shí) 8分 23秒 04:08:2312 March 2023 1做前,能夠環(huán)視四周;做時(shí),你只能或者最好沿著以腳為起點(diǎn)的射線向前。s Brewery Annual Revenues (Millions of Dollars)Two Component Variance Example Jesse’s Brewery (2 of 6) Case Price: Cases Sold: $ $ What percent of the $27MM increase in revenue is due to – the price increasing? – the volume sold increasing? – both the price and volume sold increasing? ? this is covariance, where part of the variance is not easily attributable to a single variable 14 Variance Analysis Volume 1998 Revenue $ 1997 Revenue Price Variance (Part of revenue change attributable to price) $ (1997) $ (1998) (1998) (1997) Price Volume Variance (Part of revenue change attributable to volume) Covariance (part of revenue change attributable to change in both volume and price) The best way to approach variance analysis problems is to use the rectangle diagrams to intuitively understand how the changes in the two variables account for the change in the overall quantity. Two Component Variance Example Jesse’s Brewery (3 of 6) 15 Variance Analysis Volume 1998 Revenue (P2 x V2) 1997 Revenue (P1 x V1) Price Variance (Part of revenue change attributable to price) P1 (1997) P2 (1998) V2 (1998) V1 (1997) Price Volume Variance (Part of revenue change attributable to volume) Co variance Step 1: Volume Variance = (V2 V1) x P1 Step 2: Price Variance = (P2 P1) x V1 Step 3: : Covariance = (V2 V1) x (P2 P1) Step 4: Allocate covariance to volume and price variance based on the proportion of the total for each variance ., if: volume variance = $2M price variance = $1M covariance = $.5M then % of $.5 is added to the volume and % is added to the price A fourstep process leads to the solution. Two Component Variance Example Jesse’s Brewery (4 of 6) 16 Variance Analysis Jesse39。 2023年 3月 12日星期日 上午 4時(shí) 8分 23秒 04:08: 1楚塞三湘接,荊門(mén)九派通。 2023年 3月 12日星期日 4時(shí) 8分 23秒 04:08:2312 March 2023 1一個(gè)人即使已登上頂峰,也仍要自強(qiáng)不息。 04:08:2304:08:2304:083/12/2023 4:08:23 AM 1成功就是日復(fù)一日那一點(diǎn)點(diǎn)小小努力的積累。Author: Alton Shader, James Baker Variance Analysis March 1998 1 Variance Analysis Agenda ?What is variance analysis? ?Linear variance – Ice Cream Co. ?Two ponent variance analysis – Jesse’s Brewery ?Variance analysis with more than two ponents – Boston Video ?Key takeaways 2 Variance Analysis What is Variance Analysis? Variance analysis is used to understand and assess the drivers of change in measured variables. ?Variance analysis helps explain and understand what drives the difference between two measures of the same variable (., 1998 profit vs. 1995 profit) ?Variance analysis explains differences between measures by breaking those measures into their base ponents (., 1998 revenue and 1998 OPEX as ponents of 1998 profit) and quantifying the impact of each ponent ?Bain frequently uses variance analysis to –quantify and identify true profit drivers –help drive future analysis on the most leveraged issues 3 Variance Analysis The Value of Variance Analysis Why do we need to perform variance analysis? Gives business insight as to what drives revenue/cost/ profit Leads to 39。 :08:2304:08Mar2312Mar23 1世間成事,不求其絕對(duì)圓滿,留一份不足,可得無(wú)限完美。 上午 4時(shí) 8分 23秒 上午 4時(shí) 8分 04:08: MOMODA POWERPOINT Lorem ipsum dolor sit, eleifend nulla ac, fringilla purus. Nulla iaculis tempor felis amet, consectetur adipiscing elit. Fusce id urna blanditut cursus. 感 謝 您 的 下 載 觀 看 專家告訴 。 :08:2304:08:23March 12, 2023 1意志堅(jiān)強(qiáng)的人能把世界放在手中像泥塊一樣任意揉捏。 Bain uses variance analysis to gain business insight and to identify the most effective and valuable action steps. ?Why does profit change? ?What driver has the most impact? ?What explains differences in relative cost position? ?Used to determine product line profitability ?Identifies areas of focus for cost r
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