版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领
文档简介
时间数列分析BenefitsandUsesofTimeSeriesBenefitsoftimeseriesMonitorsalesperformanceovertime…removevariationinmonthlysalescausedbycalendardifferencesandseasonalitythatcanconcealpotentialproblemswithsalesAccuratelydeterminethedirectionandrateofgrowth/declineinsalesQuicklyidentifychangesinsalestrendsandcorrelatethemtofactorsaffectingsales…industry,company,competitionImprovedecisionmakingregardingsalesandmarketingactionsUsesoftimeseriesAssesscurrentsalesperformanceandevaluatetheeffectivenessofsalesprogramsDetermineunderlyingsalestrendandprojectyearendsalesEstablishappropriatebudgetsfornextyearandestimatemonthlybudgetspreadsTimeseriesanalysisistheprimarysalesanalysistechniqueatA-B2023/1/162TimeSeriesAnalysisWhatisTimeSeriesAnalysis?HowareTimeSeriesplotsdeveloped?WhataretheadvantagesofTimeSeriesAnalysis?WhatareTimeSeriesusedfor?2023/1/163WhatisTimeSeriesAnalysis?Timeseriesanalysisisastatisticaltechniqueusedtoanalyzeandmonitorsalesvolumeovertime.2023/1/164WhyTimeSeries?BeersalesarehighlyseasonalItisverydifficulttoevaluatemonthlysalesovertime.2023/1/165Howdotimeserieswork?MonthlyvariationinsalesiscausedbytwomajorfactorsSeasonalitySellingDays(calendareffects)TimeSeriestechniquestatisticallyremovestheeffectsofthesetwofactorsTimeSeriestechniqueusestheX-11procedureforseasonaladjustmentsTheX-11procedurewasdevelopedbytheU.S.BureauofCensusinthe1950’s.ItwasbroughttoA-Bintheearly1960’sandhasbecomethestandardforreportingsales.2023/1/166Howdotimeseriesadjustsales?AsellingdayadjustmentfactorforeachmonthiscomputedandappliedtotherawsalesThisfactorallowsyoutocomparemonthsasiftheyhadthesamenumberofsellingdays…e.g.accuratelycomparetheJunethisyearvs.JunelastyearAseasonalfactoriscomputedandappliedtothesellingdayadjustedsalesThisfactor,whenapplied,givesyoumonthlydatadirectlycomparabletoanyothermonth…e.g.accuratelycompareJunethisyearwithMaythisyear2023/1/167SellingDaysAllotherthingsbeingequal,salesinAug-03woulddecrease4.8%becauseofonelesssellingday.InordertocomparethetwomonthsAug-03saleswillhavetobeadjustedup+4.8%.2023/1/168SeasonalitySeasonalityisexpressedasanindexforamonthcomparedtoanaveragemonth.Amonthwheresaleswere20%higherthanaveragewouldhaveaseasonalfactorof120.Amonthwhichwas10%lowerthanaveragewouldhaveaseasonalfactorof90.StrongSeasonalityNoSeasonality2023/1/169AdjustingSalesRawSalesXSellingDayFactor÷SeasonalFactorSeasonallyAdjustedSales=2023/1/1610Howdotimeserieswork?RawSalesSellingDayAdjustedSeasonallyAdjusted2023/1/1611DissectingaTimeSeriesPlotAnnualizedSales…tellsushowbigthemarketis.TrendLine…tellsusthedirectionofsalesbasedonpast&presentperformanceIrregularvariations…showsustheimpactofmarketplaceactionsSTR’s;OntarioSTC’sDataDescription…tellsusthetypeofdataplotted2023/1/1612AdvantagesofTimeSeriesAdvantagesoftimeseries:RemovesvariationinmonthlysalescausedbycalendardifferencesandseasonalityHelpustoaccuratelyestimatethedirectionandrateofsalesgrowth/declineTheyareanimprovementoverothermethodssuchasyear-over-yeargrowthormovingaveragesbecausetheyshowuswhatishappeningsooner…anearlywarningofchangingsalesconditionsTimeseriessignificantlyimprovedecisionmaking…AllowsustotakecorrectiveactionsoonerAllowsustotaketherightcorrectiveactionHelpstoestablishappropriatesalesobjectives2023/1/1613AdvantagesofTimeSeriesIfthetimeseriesshowsarelativesmoothpatternfromoneyeartothenext…thetrendandtheyearoveryeargrowthwouldprovideroughlythesamereading.But,iftherewasasignificantmarketeventorchange,theyearoveryeartrendswillbemisleading+50%2023/1/1614MisleadingGrowthRates0%+21%2023/1/1615MoreMisleadingGrowthRates-21%+15%2023/1/1616Whataretimeseriesusedfor?AtA-Bweusetimeseriesto…AssesscurrentsalesperformanceDevelopcurrentyearsalesprojections…PYE(projectedyear-end)Forecastnextyearsales…developbudgetsandmonthlyspreadsOtherquantitativesalesanalysis2023/1/1617AssessingSalesPerformanceHowisourYTDperformance?2023/1/1618AssessingSalesPerformance2023/1/1619EstimatingPYEIfthereisnochangeinthebusinessenvironmentsaleswillcontinueoncurrenttrend.Pointsoffthetrendlinecanbeusedtoestimatemonthlysales.UnderlyingTrendPredicted{2023/1/1620UnderlyingTrendUnderlyingtrendisatrendlinethatbestdescribesthecurrentsalesgrowthrate.Itisthecollectiverepresentationofallunderlyingfactorsthatareinfluencingsales…industry,competition,andcompanyspecific,etc.Itisdeterminedusingabest-fitlinetoasetofpointsonthetimeseries.Thepointsareselectedbasedonin-depthunderstandingoftheunderlyingfactorsinfluencingsales,howtheyhavechangedovertime,andhowtheywilllikelychangeinthefuture.Pointsofinflectiononthetimeseriesoftensignalchangesintheunderlyingfactorsandhencetheunderlyingtrend.2023/1/1621EstimatingPYEPredicted{ActualSales{Predicted{SeasonallyAdj.Sales÷SellingDayFactorXSeasonalFactorMonthlySales=2023/1/1622EstablishingBudgetsandSpreadsGivenourYTDSep-2003performancewhatwouldbeanappropriatebudgetfornextyearandhowshouldthatvolumebespreadbymonth?2023/1/1623EstablishingBudgetsandSpreads2023/1/1624AnotherExleUsingTimeSeriesAnnualizedSTR'sinMBBLS199819992000200120022003ElasticityCalculationP1:18.99;P2:20.45i.e.+7%V1:44.5;V2:38.5i.e.-14%Elasticity=-2.0EstimatingthepriceelasticityPrice=P1Volume=V1Price=P2Volume=V22023/1/1625ConclusionsTimeSeriestechniqueisaveryus
温馨提示
- 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
- 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
- 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
- 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
- 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
- 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
- 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
最新文档
- PICC的护理常规及冲封管流程
- 生物(安徽卷)(考试版及全解全析)-2026年高考考前预测卷
- 数控中心刀具寿命监控制度
- 办公区域能耗监控调度办法
- 公共区域清洁责任划分办法
- 电气设备接地连锁验收技术方案
- 智能运维告警响应时间验证方案
- 仓储区进出场目视化管理标准
- 防跌倒看护预警响应流程规范
- 来料检验不良原因追溯规范
- 中医穴位养生课件
- HCIA历年考试试题及答案
- 西门子EET Basic 电梯仿真一体化教程 课件5 电梯初始化及启停控制
- 松下机器人培训
- 从严从实抓好管酒治酒 确保队伍内部长治酒安
- 心脏支架术前术后护理
- 人教版高中地理必修二知识点高考复习大纲
- 广西高等职业教育考试(新职教高考)《语文》模拟试卷 (第44套)
- DB2201-T 45-2023 政务服务场所建设规范
- 2024建筑安全员《C证》考试题库及答案
- 肛肠病术后并发症
评论
0/150
提交评论