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1、TimeSeriesAnalysis 2020年6月4日星期四 O Network Path Filename ppt 2 BenefitsandUsesofTimeSeries BenefitsoftimeseriesMonitorsalesperformanceovertime removevariationinmonthlysalescausedbycalendardifferencesandseasonalitythatcanconcealpotentialproblemswithsalesAccuratelydeterminethedirectionandrateofgrowth d
2、eclineinsalesQuicklyidentifychangesinsalestrendsandcorrelatethemtofactorsaffectingsales industry company competitionImprovedecisionmakingregardingsalesandmarketingactionsUsesoftimeseriesAssesscurrentsalesperformanceandevaluatetheeffectivenessofsalesprogramsDetermineunderlyingsalestrendandprojectyear
3、endsalesEstablishappropriatebudgetsfornextyearandestimatemonthlybudgetspreads TimeseriesanalysisistheprimarysalesanalysistechniqueatA B 2020年6月4日星期四 O Network Path Filename ppt 3 TimeSeriesAnalysis WhatisTimeSeriesAnalysis HowareTimeSeriesplotsdeveloped WhataretheadvantagesofTimeSeriesAnalysis Whata
4、reTimeSeriesusedfor 2020年6月4日星期四 O Network Path Filename ppt 4 WhatisTimeSeriesAnalysis Timeseriesanalysisisastatisticaltechniqueusedtoanalyzeandmonitorsalesvolumeovertime 2020年6月4日星期四 O Network Path Filename ppt 5 WhyTimeSeries BeersalesarehighlyseasonalItisverydifficulttoevaluatemonthlysalesoverti
5、me 2020年6月4日星期四 O Network Path Filename ppt 6 Howdotimeserieswork MonthlyvariationinsalesiscausedbytwomajorfactorsSeasonalitySellingDays calendareffects TimeSeriestechniquestatisticallyremovestheeffectsofthesetwofactorsTimeSeriestechniqueusestheX 11procedureforseasonaladjustmentsTheX 11procedurewasd
6、evelopedbytheU S BureauofCensusinthe1950 s ItwasbroughttoA Bintheearly1960 sandhasbecomethestandardforreportingsales 2020年6月4日星期四 O Network Path Filename ppt 7 Howdotimeseriesadjustsales AsellingdayadjustmentfactorforeachmonthiscomputedandappliedtotherawsalesThisfactorallowsyoutocomparemonthsasifthe
7、yhadthesamenumberofsellingdays e g accuratelycomparetheJunethisyearvs JunelastyearAseasonalfactoriscomputedandappliedtothesellingdayadjustedsalesThisfactor whenapplied givesyoumonthlydatadirectlycomparabletoanyothermonth e g accuratelycompareJunethisyearwithMaythisyear 2020年6月4日星期四 O Network Path Fi
8、lename ppt 8 SellingDays Allotherthingsbeingequal salesinAug 03woulddecrease4 8 becauseofonelesssellingday InordertocomparethetwomonthsAug 03saleswillhavetobeadjustedup 4 8 2020年6月4日星期四 O Network Path Filename ppt 9 Seasonality Seasonalityisexpressedasanindexforamonthcomparedtoanaveragemonth Amonthw
9、heresaleswere20 higherthanaveragewouldhaveaseasonalfactorof120 Amonthwhichwas10 lowerthanaveragewouldhaveaseasonalfactorof90 StrongSeasonality NoSeasonality 2020年6月4日星期四 O Network Path Filename ppt 10 AdjustingSales 2020年6月4日星期四 O Network Path Filename ppt 11 Howdotimeserieswork RawSales SellingDayA
10、djusted SeasonallyAdjusted 2020年6月4日星期四 O Network Path Filename ppt 12 DissectingaTimeSeriesPlot AnnualizedSales tellsushowbigthemarketis TrendLine tellsusthedirectionofsalesbasedonpast presentperformance Irregularvariations showsustheimpactofmarketplaceactions STR s OntarioSTC s DataDescription tel
11、lsusthetypeofdataplotted 2020年6月4日星期四 O Network Path Filename ppt 13 AdvantagesofTimeSeries Advantagesoftimeseries RemovesvariationinmonthlysalescausedbycalendardifferencesandseasonalityHelpustoaccuratelyestimatethedirectionandrateofsalesgrowth declineTheyareanimprovementoverothermethodssuchasyear o
12、ver yeargrowthormovingaveragesbecausetheyshowuswhatishappeningsooner anearlywarningofchangingsalesconditionsTimeseriessignificantlyimprovedecisionmaking AllowsustotakecorrectiveactionsoonerAllowsustotaketherightcorrectiveactionHelpstoestablishappropriatesalesobjectives 2020年6月4日星期四 O Network Path Fi
13、lename ppt 14 AdvantagesofTimeSeries Ifthetimeseriesshowsarelativesmoothpatternfromoneyeartothenext thetrendandtheyearoveryeargrowthwouldprovideroughlythesamereading But iftherewasasignificantmarketeventorchange theyearoveryeartrendswillbemisleading 50 2020年6月4日星期四 O Network Path Filename ppt 15 Mis
14、leadingGrowthRates 0 21 2020年6月4日星期四 O Network Path Filename ppt 16 MoreMisleadingGrowthRates 21 15 2020年6月4日星期四 O Network Path Filename ppt 17 Whataretimeseriesusedfor AtA Bweusetimeseriesto AssesscurrentsalesperformanceDevelopcurrentyearsalesprojections PYE projectedyear end Forecastnextyearsales
15、developbudgetsandmonthlyspreadsOtherquantitativesalesanalysis 2020年6月4日星期四 O Network Path Filename ppt 18 AssessingSalesPerformance HowisourYTDperformance 2020年6月4日星期四 O Network Path Filename ppt 19 AssessingSalesPerformance 2020年6月4日星期四 O Network Path Filename ppt 20 EstimatingPYE Ifthereisnochange
16、inthebusinessenvironmentsaleswillcontinueoncurrenttrend Pointsoffthetrendlinecanbeusedtoestimatemonthlysales UnderlyingTrend Predicted 2020年6月4日星期四 O Network Path Filename ppt 21 UnderlyingTrend Underlyingtrendisatrendlinethatbestdescribesthecurrentsalesgrowthrate Itisthecollectiverepresentationofallunderlyingfactorsthatareinfluencingsales industry competition andcompanyspecific etc Itisdeterminedusingabest fitlinetoasetofpointsonthetimeseries Thepointsareselectedbasedonin depthunderstandingofth
