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DTSTART:20210101T000000
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DTSTART;VALUE=DATE:20220704
DTEND;VALUE=DATE:20220708
DTSTAMP:20260504T094443
CREATED:20211220T021332Z
LAST-MODIFIED:20211220T023441Z
UID:10000898-1656892800-1657238399@www.opuskinetic.com
SUMMARY:Professional Forecaster Masterclass
DESCRIPTION:Why Choose this Training Course\nThis is a 4-day training course. In a modern\, lean supply chain\, accurate forecasts are critical to achieving supply chain success. Today\, with disruption and uncertainty there is greater realization for the value and need for competency in managing demand. Understanding of the forecasting process and requirements for an accurate forecast are a necessity for any executive involved in the demand forecasting process. \nTo achieve accurate demand planning and forecasting\, demand planners are required to combine the forecasting science with effective judgment on both internal and external factors. This is not an easy task. \nThis course will highlight in detail the principles of demand management\, forecasting\, and the relationship between forecasting and planning. \nThe course demonstrates how effective forecasting management contributes to sales revenue growth and also describes in detail the models and techniques that can be followed to ensure an accurate forecast and a sustainable outcome \nWho Should Attend\nThis course is designed for Directors\, Managers and Analysts responsible for: \nSupply Chain Management\, Logistics\, Sales & Operations Planning (S&OP)\, Forecasting / Planning\, Demand Planning/Demand Management & Operations\, Inventory & Demand Planning\, New Product Forecasting\, Materials Management\, Allocation and Planning\, Load Forecasting\, Strategic Planning\, Production Planning\, Product Life-Cycle\, Merchandizing\, Retail Collaboration. \nKey Learning Objectives\nAfter attending this valuable training\, participants should be able to: \n\nDevelop and refine methods and processes to link forecasting to the growth of revenue\nLeverage on the value of internal and external collaboration that leads to more accurate forecasts • Enhance your knowledge of statistical concepts that are fully applicable to all forecasting software packages and systems\nLearn ways to incorporate the market intelligence into statistical forecasting\nAnalyze patterns in data and gain understanding of data cleansing methodologies that lead to better statistical base line forecasts\nInterpret level\, trend and seasonality changes to develop more accurate forecasts\nAcquire knowledge of how-to setup the Exception Driven forecasting process that improves the utilization of your resources\nLearn from practical examples – Explore the Best & Worst Practices in Forecasting\nRecognize the connection between sales and operational planning and demand planning.\nUnderstand the ways collaborative planning\, forecasting\, and replenishment work and evolve\n\nEnquiry Form\n\n\n                 \n \n                        SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n                            \n                            \n                                                    \n                                                    First\n                                                \n                            \n                            \n                                                    \n                                                    Last\n                                                \n                            \n                        Phone*Email*\n                            \n                        Company*Current Location*    \n                    \n                        \n                                        AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n                                        Country\n                                    \n                    \n                How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n								\n								Send me brochure\n							Comments:CAPTCHA
URL:https://www.opuskinetic.com/training/professional-forecaster-masterclass/
LOCATION:Virtual Instructor Led Training (VILT)
CATEGORIES:Logistics and Supply Chain
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