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KPMGglobaltechreport:Consumerandretailinsights
Acceleratingwithintent
KPMG.MaketheDifference.
KPMGInternational|
Contents
triiui:nsumer
03
Keyfindings04
businessescandeliversuperiorresults
rlC&R05
vare07
gwidespread09
Thefutureforconsumerandretail12
Methodology
13
Abouttheauthors
14
HowKPMGcanhelp
15
KPMGglobaltechreport:Consumerandretailinsights2
?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.
?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.
Accelerating
withintent
Key
findings
Thehighlyintentionaldigital
transformationstrategiesofC&R...
Targetedimprovementsare
enhancingdatamaturity
AIisgeneratingwidespreadThefutureforMethodology
businessvalueconsumerandretail
Aboutthe
authors
HowKPMG
canhelp
Acceleratingwithintent:Whyconsumerandretailmustlevelupondata
Consumerandretail(C&R)companiesareembracingdigitaltransformationwitharenewedsenseofdirection.Tomoveforwardatspeed,theymustrampupinvestmentintheirdatacapabilities.
Today’schallengingeconomicclimateisforcingconsumersand
organizationstoadapt.AccordingtoKPMG’srecentglobal
Consumer
&RetailCEOOutlook
,81percentofindustryexecsexpectthecost
oflivingcrisistonegativelyimpacttheirorganizationforthenextthreeyears.1Tosucceed,consumerandretailcompaniesmustanticipateandadapttoconsumers’evolvingneedsandpreferences.Technologycanhelpthemachievethat.Byharnessingthepowerofdata,businessescangainadeeperunderstandingoftheircustomers,optimizetheir
operations,anddeliverpersonalizedandseamlessexperiencesthatdriveloyaltyandgrowth.
But,therealityis,manyC&Rcompaniesfallshortwiththesedata
ambitions.AsnotedinKPMG’sreport:
Fromdataoverloadtodata-
drivendecisionsinretail
,“Manyretailersarenotableto[create]the
unifieddataandinsights[theyrequire],duetoinadequateinfrastructure,
siloeddataanddepartments,multiplebutdisparatetechnologysystems,andout-of-synctransformations.”2
Againstthisbackdrop,theKPMGGlobalTechReport2024,basedonasurveyof2,450executivesfrom26countriesacrosseight
sectors,exploreshowC&Rbusinessesareusingtechnologytocreatevalueatatimeofsignificantvolatility,andhowtheyare
overcomingchallengessuchaspoordataquality,siloeddataandcapabilitygaps.
Ourresearch,whichfeaturesinsightsfrom490executivesfromC&Rbusinesses,suggeststhesectorispursuingatargetedtechnologyinvestmentstrategy.Moresophisticateddatacapabilitiesand
scaling-upartificialintelligence(AI)usecaseswithtrustandsecurityinmindcanhelpleadingbusinessessecurecompetitiveadvantage.
1KPMG,‘Consumer&RetailCEOOutlook’,2024.
2KPMG,‘Fromdataoverloadtodata-drivendecisionsinretail’,2025.
Inaneraofrapidtechnologicaladvancements,consumerandretailcompaniesareamassingvastamountsofdata.However,thechallengeliesintransformingthisdataintoactionable
insights.Whilethereisaconsensusthat
dataispivotalfordrivingperformanceand
competitiveness,manybusinessesstruggletoconvertitintomeaningfuloutcomes.They?ndthemselvesinundatedwithinformation,yetlackingthecriticalinsightsnecessaryforsustainablegrowthandinnovation.”
IsabelleAllen
GlobalHeadofConsumer&Retail,KPMGInternational
KPMGglobaltechreport:Consumerandretailinsights3
AIisgeneratingwidespreadThefutureforMethodology
businessvalueconsumerandretail
Thehighlyintentionaldigital
transformationstrategiesofC&R...
Targetedimprovementsare
enhancingdatamaturity
Accelerating
withintent
HowKPMG
canhelp
Aboutthe
authors
Key
findings
Keyfindings
Thehighlyintentionaldigital
transformationstrategiesof
consumerandretailbusinessesaredeliveringsuperiorresults
In2024,theproportionoftechnologiesbringingprofitabilitygains
toC&Rbusinessessawayear-on-yearincrease.Thesecompanies’investmentdecisionsaremoredisciplinedandbasedonpastsuccess
saytheirtechinvestment
prioritiesreflectprovenreturns.
74%
Targetedimprovementsareenhancingthesector’sdatamaturity
Overthepast12months,C&Rbusinesseshavematuredmarkedlyintermsoftheirdatamanagementprograms.Forexample,
52%
nowsaytheyareeffectivelysecuringinsightfromthedata,upfrom38percentayearago.However,theystilllag
theirpeersinothersectors.
AIisgeneratingwidespread
businessvalue,withoperationalefficiencyandproductinnovationkeyaspirations
Aroundthree-quarters
73%
ofC&RcompanieshavealreadysecuredvaluefromactiveAIusecases.Now,theyarefocusingonscalingandacceleration.
Source:KPMGglobaltechreport2024
KPMGglobaltechreport:Consumerandretailinsights4
Accelerating
withintent
Key
findings
Thehighlyintentionaldigital
transformationstrategiesofC&R...
Targetedimprovementsare
enhancingdatamaturity
AIisgeneratingwidespreadThefutureforMethodology
businessvalueconsumerandretail
Aboutthe
authors
HowKPMG
canhelp
ThehighlyintentionaldigitaltransformationstrategiesofC&Rbusinessescandeliver
superiorresults
Ratherthandefaultingtocopytheircompetitors’techinvestmentchoices,asseeninthe2023research,C&Rcompaniesareshiftingtoamoretargeted
approach.Theyarefocusingtheirtechspendingontheareaswiththegreatestpotentialtodrivereturns.Andthisfocusedapproachispayingoff.
Foreverytechnologytypeinourresearch,theproportionofC&Rcompaniesreportinggreaterprofitabilitybecauseoftheirinvestmentshasincreased
year-on-year.Moreover,thesebusinessesaremorelikelytoseelargerprofitincreases(10percentormore)incomparisonwiththecross-sectoraverage.
Figure1:Year-on-yearincreaseinproportionofC&Rtechnologyexecutivesconfirmingdigitaltransformationeffortshavepositivelyimpactedtheirorganizations’profitability
36%35%
Moderndelivery(includinglowcode/nocode)
Cybersecurity
34%29%
VR/AR/XR(includingMetaverse)andspatialcomputingAIandautomation(includinggenerativeAI)
28%28%
XaaStechnologies(includingpubliccloudormulti-cloud)
Dataandanalytics
YoYshift
Overthepast24months,haveyourdigitaltransformationeffortswiththefollowingtechnologiespositivelyimpactedyourorganization’sprofitability?Increasesummary
Source:KPMGglobaltechreport2024
KPMGglobaltechreport:Consumerandretailinsights5
Accelerating
withintent
Key
findings
Thehighlyintentionaldigital
transformationstrategiesofC&R...
Targetedimprovementsare
enhancingdatamaturity
AIisgeneratingwidespreadThefutureforMethodology
businessvalueconsumerandretail
Aboutthe
authors
HowKPMG
canhelp
Earlyadoptersareyieldingsigni?cantbene?ts,”con?rmsMartinSokalski,USConsultingTechnology
74%
LeaderforConsumerandRetailKPMGin[country].“AI-poweredsolutionsaredeliveringquickreturnsinareassuchasstoresupportandinventorymanagement.Dataanalyticstoolsareenablingthemtoidentifytheirmostpro?tableproductsandtogetthoseinfrontofcustomers.”
Intoday’sprice-consciousclimateforconsumersandbusinesses,
dataisunlockinggreaterprofitabilityfortheindustry.Asseenin
theKPMGresearch‘Fromdataoverloadtodata-drivendecisionsin
retail’,3dynamicdata-drivenpricingtoolsthatadaptpricestomarket
forces,competitormovesandcustomerbehaviorpatterns,arehelpingretailandconsumercompaniesenhancetheirprofits.
AKPMGreport,‘TheAustralianRetailOutlook,’highlightsthecritical
needforretailerstoembraceadvancedtechnologiestocompete
effectively.“Thefutureofretailsuccessliesincreatingseamless,
personalized,andengagingexperiencesthatresonatewithcustomers
onanemotionallevel.Thismeansleveragingdataanalyticsto
personalizetheshoppingexperienceandintegratingbackendsystemstohelpachievereal-timevisibilityacrosstouchpoints.Byembracingthesetechnologies,Australianretailerscancaptureashareofthegrowing
e-commercemarketandbuildlastingcustomerloyalty.”JamesStewart,NationalSectorLeaderforConsumerandRetail,KPMGAustralia
BarryRaghunathan,Consumer&RetailTechnologyLeaderatKPMGin[country],notesthatthemostproductivechangejourneysinthesectorareledbyCIOswhoprioritizeaholistictechnologystrategy
thatisunderpinnedbydrivingstrategicbusinessvalue,asopposed
toseekingtechnologyoptimizationalone.“Thestrategistlensgoes
beyondtechnologicalfactorsofacertainprojectinsiloandadjuststooptimizethelong-termimpactson,say,theemployeeexperienceandthestrategicgoalsoftheenterprise,”Raghunathansays.
saytheirprioritiesfortechnologyinvestmentsreflectprovenreturnsonpreviousinvestment,upfrom
50percentin2023.
Source:KPMGglobaltechreport2024
The2024KPMGGlobalTechReportdataindicatesthatthisstrategistethosisbeginningtoshapethesector’sspendinghabits.Incontrastwith2023,insteadofmerelyimitatingtheircompetitors’investmentpatterns,C&Rcompaniesarenowlaser-focusedonwhatworksbestforthem.Consequently,followingcompetitorsisnolongerthetop
driveroftechinvestmentdecisions.Inthislatestresearch,74percentsaytheirprioritiesfortechnologyinvestmentsreflectprovenreturnsonpreviousinvestment,upfrom50percentin2023.Thenumber
ofcompaniesinvestingbasedontheresultsoftrialsandproof-of-concept(PoC)testinghasalsoincreasedmarkedly.
Thisdisciplinedandmethodicalinvestmentapproachissetto
continue.WhilemostC&Rrespondentsplantoinvestfurtherinthetechcategoriesmeasured,thisisataslightlylowerratethanthe
cross-sectoraverage,indicatingconsideredrestraint.
3KPMG,‘Fromdataoverloadtodata-drivendecisionsinretail’,2025.
KPMGglobaltechreport:Consumerandretailinsights
6
?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.
?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.
Accelerating
withintent
Key
findings
Thehighlyintentionaldigital
transformationstrategiesofC&R...
Targetedimprovementsare
enhancingdatamaturity
AIisgeneratingwidespreadThefutureforMethodology
businessvalueconsumerandretail
Aboutthe
authors
HowKPMG
canhelp
Targetedimprovementsareenhancingdatamaturity
Overthepastyear,theproportionofC&R
companiesinourstudyreachingthemost
advancedstagesofmaturityfortheirdata-
managementactivitieshasincreased
signi?cantly,with52percentofthesebusinessesdescribingtheirabilitytoextractmeaningful
insightfromdataas‘influential’or‘embedded,’upfrom38percentin2023.And50percent
saythesameaboutdataaccessibility,a
17-percentage-pointincreaseonayearago.
ofthesebusinessesdescribingtheirabilitytoextract
meaningfulinsightfromdataas‘influential’orembedded,’upfrom38percentin2023.
52%
Figure2:ProportionofC&Rrespondentsinthetoptwolevelsofdatamaturity(influentialandembedded)
33%
50%
50%
Dataaccessibility:Ensuringusershavethedatatheyneedtoful?lltheirroles,helpingtoenableemergingtechnologiesandthepartnerecosystem
36%
Datainvestments:Ensuringdatasysteminvestmentsalignwith
prioritiesofallbusinessstakeholders
38%
52%
Extractingmeaningfulinsights:Filteringthroughdatarepositoriesto?ndusefulinsightsthatwillbene?tcustomersandbusinessoperations
40%
Datascience:Usingreal-timeorpredictiveanalyticstoinformdecisions
46%
acrossthebusiness
41%
Datamonetization:Leveragingdataforcompetitiveadvantageinnew
49%
49%
businessmodels
35%
Dataculture:Educatingemployeessotheycanappreciatethevalueof
dataandutilizeitintheirdailyworkinglives
20232024
Howeffectiveareyourdataandanalyticsactivitiesinthefollowingareas?—Influential/EmbeddedSUMMARY
Source:KPMGglobaltechreport2024
KPMGglobaltechreport:Consumerandretailinsights7
AIisgeneratingwidespreadThefutureforMethodology
businessvalueconsumerandretail
ThehighlyintentionaldigitalTargetedimprovementsare
transformationstrategiesofC&R...enhancingdatamaturity
Accelerating
withintent
HowKPMG
canhelp
Aboutthe
authors
Key
findings
Nevertheless,maturityinthissectorlagsthelevelsrecordedinothersectors.AccordingtoRaghunathan,ConsumerPackagedGoods(CPG)companiesshouldstrivetoimprovetheirfirst-
partydataeffortsandhowthatdatainformstheirworkflows.Andregardingthird-partydatastrategies:“We’reseeingalotofinefficiency,alotofmissedopportunities,”saysSokalski.
“Thankfully,manyinthesectorarecraftingasingleviewofthecustomeracrossdifferentchannels.”
Whileacquiringthird-partydatahaslongbeenthepriority,
manyfailtoutilizethedatatoitsfullpotentialformoretargetedmarketing—personalizedrecommendations,orimprovedsupplychainmanagement.RaghunathancitestheexampleofaleadingCPGbusinessthatspendsmillionsofdollarseachyearonthird-partydatafromaretailpartnerbutuseslessthanone-tenthofthedatacollected.Aswellasbeingmoreselectiveastowhichthird-partydatasetstheypurchase,organizationsshouldput
thosesourcestoworkbyusingtheinsightstoenhancetheiroperations.Forinstance,learningsaboutcustomerappetitescanhelpenhanceproductdesignandinventorymanagementtominimizewastage,andinsightsonunitlocationscanbringnewsupplychainefficienciestoaccelerateproductionand
distribution.
Onedatamanagementareaofparticularfocusistheimperative
toplugleaksinvoice-of-the-customerdatastrategies.Indeed,
60percentofC&Rrespondentssaythattheycollectcustomer
feedbackbutfrequentlyfailtousetheinsights.Stubborndata
disconnectsbetweencontactchannelsobstructthetransferof
customerinsightsacrossC&Rbusinesses.Thesedisconnects
alsolimitthefunctionalityoftheomnichannelcapabilitiesC&R
companieshavebeeninvestingintooverthepastdecade.Despiteyearsofworkunifyingdataandsilosintoacentralizedsource,
manycompaniesarestillyettoestablishatrue‘singlesourceoftruth’fortheircustomerdata,saysRaghunathan.
So,ratherthanhavingseamlessomnichannelinteractionsbetweenaprovider’se-commerceplatform,physicalstoresandmarketing
campaigns,forexample,oftenconsumersmustendurefragmentedshoppingexperiencesbecausevariouspiecesofdataremain
trappedwithindifferentchannels.Tohelpresolvethis,thesector
needstoperseverewithprioritizingitsfirst-partydatastrategies
andaddressingthedatasiloesandlegacysystemsthatunderpinitsvariousdeliveryplatforms.
StrengtheningdatafoundationswouldalsohelpC&Rbusinessesto
becomemoreagileandadaptive.Manypointtoscenario-forecastingandrisk-identificationworkshopsasespeciallyimportanttotheirabilitytorespondtoevolvingmarkettrendsandemergingrisks.
60%
ofC&Rrespondentssaythattheycollect
customerfeedbackbutfrequentlyfailtousetheinsights.Stubborndatadisconnectsbetween
contactchannelsobstructthetransferofcustomerinsightsacrossC&Rbusinesses.
Source:KPMGglobaltechreport2024
Findoutaboutoursixkeypillarsfordatastrategieshere.
KPMGglobaltechreport:Consumerandretailinsights8
Accelerating
withintent
Key
findings
Thehighlyintentionaldigital
transformationstrategiesofC&R...
Targetedimprovementsare
enhancingdatamaturity
AIisgeneratingwidespreadThefutureforMethodology
businessvalueconsumerandretail
Aboutthe
authors
HowKPMG
canhelp
AIisgeneratingwidespreadbusinessvalue
C&RbusinessesareimplementingAIwithsomeurgency:
73percentreportalreadyhavingachievedbusinessvalue
fromsuchinitiatives.Thatmirrorsthefindingsof
ourrecent
researchonretailintheAsia-Pacificregion
,wherenearly
everycompanysurveyedisexploringorimplementingAI.
Severalexecutivesnotedthattherateofuptakeissurpassinganyprevioustechnology.4Similarly,ourlatest
Consumer&
RetailCEOOutlook
researchfoundleadersinthesectornowseetheracetoembraceandembedgenerativeAI(GenAI)astheirthird-biggestchallenge;onlyeconomicuncertainty
andgeopoliticalcomplexityaremoretop-of-mind.5
Respondentstothisresearchpointtoawiderangeof
examples,includingopportunitiesforoperationalefficienciesandthepotentialtodriverevenuegrowththroughnew
productdevelopment.
4KPMG,‘NavigatingthefutureofseamlesscommerceinAsiaPacific’,2024.
5KPMG,‘Consumer&RetailCEOOutlook’,2024
Figure3:Consumerandretail’sshort-termgoalsforharnessingAIoverthenexttwoyears(inorderofpriority)
Boostingoperationalefficiency(automatingrepetitivetasksandenhancingtheemployeeexperience)
Productandservicedevelopmentandinnovation
Advancedpatterndetectionandissueresolution
Customerserviceautomation(externaluse)
EnergymanagementandESGdelivery
Fraud/risk/securityincidentdetectionandresponse
Source:KPMGglobaltechreport2024
KPMGglobaltechreport:Consumerandretailinsights9
TargetedimprovementsareAIisgeneratingwidespreadThefutureforMethodology
enhancingdatamaturitybusinessvalueconsumerandretail
Thehighlyintentionaldigital
transformationstrategiesofC&R...
Accelerating
withintent
HowKPMG
canhelp
Aboutthe
authors
Key
findings
C&Rbusinessesencouragecross-functionalcollaborationtodrivethediscoveryofnewAIusecases.Indeed,46percentofthesebusinessessayopencollaborationistheirpreferredapproach,
withAIcentersofexcellenceorotherworkinggroupsthatincludecolleaguesfromacrosstheirorganizations.
AstheyscaleAIimplementation,C&Rcompaniesareconscious
oftheimperativetomaintaingoodgovernance,withtrustand
cybersecuritykeyconsiderations.KPMG’s
C&RCEOOutlook
6
foundleaderspreparingcarefullytogoverntheirownuseofAIandautomation.Inthatresearch,manyC&RCEOs(84percent—which
ofthese
businesses
sayopen
46%
collaborationistheirpreferredapproach,withAIcentersof
excellenceor
otherworkinggroupsthat
include
colleaguesfromacrosstheir
organizations.
ishigherthanallothersectorssurveyed)agreedthatthedegreeofregulationforGenAIshouldmirrorthatofclimatecommitments.
Thisgovernanceimperativewilllikelyseenewcontrolstructures
emerge.Currently,39percentplantoshifttoacentralizedapproachtoAIexperimentationoncetheyhaveobtainedacriticalmassof
ideasfromtheworkforce.
“Thenumberofusecasesisgrowingexponentially,”says
Raghunathan.“C&Rcompaniesneedtoprioritize,butitalsoforcesthemtofocusongovernance.Astheseusecasescometolife,it’sclearsomeofthemodelsdoincludeproblematicbiases.”
plantoshifttoacentralizedapproachtoAIexperimentationoncetheyhaveobtainedacriticalmassofideasfromtheworkforce.
Consumerandretailcompaniesarerapidly
transformingthroughdigitalizationand
enhancedcustomerexperiences.AsGenAI
becomesakeyinvestmentarea,organizationsmustprioritizeaholisticstrategythataligns
withimmediatebusinessgoalsanddeliverssustainablevalue.Thisstrategicapproachshouldfocusonthelong-termimpacton
customerexperienceandoverallbusinessobjectives,helpingensurethatinvestmentsdrivemeaningfulbusinessvaluebeyond
individualtechnicalprojects.”
PuneetMansukhani
HeadofGlobalRetailDigital
TechnologyandTransformationKPMGinIndia
Source:KPMGglobaltechreport2024
6KPMG,‘Consumer&RetailCEOOutlook’,2024.
KPMGglobaltechreport:Consumerandretailinsights10
Accelerating
withintent
Key
findings
Thehighlyintentionaldigital
transformationstrategiesofC&R...
Targetedimprovementsare
enhancingdatamaturity
AIisgeneratingwidespreadThefutureforMethodology
businessvalueconsumerandretail
Aboutthe
authors
HowKPMG
canhelp
LeadingtrendsinAIinRetail
Customersegmentation
Customizedwebsitecontentforindividuals,suchaspersonalizedproductdescriptionsrelevanttotheuser’sinterest.
1
8
Personalizedmarketing
Analyzingcustomerbehaviorandpurchasehistorytogeneratepersonalizedmarketingmessagesorevencustomizedproductrecommendations.
9
Storelayout&design
Analyzingdatasuchasfoottrafficpatterns,purchasehistoryandexternalfactorstooptimizestorelayoutanddesign.
2
Customerservice
Generatingresponsestocustomerenquiriesandcreatingguidestohelpcustomersresolveissues.
10
Pricingstrategy
Productdevelopment
Designingmockupsfornewproductsorvisualizechangestoexistingproducts.
3
Adjustingpricingtooptimizeprofitability,salesormarketsharebasedonfactorssuchassupply,demand,buyingpatternsandcompetitorpricing.
11
Fashiontrends
Predictingfuturefashiontrendsbasedondataandevengeneratescompletelynewdesigns.
4
Employeetraining
Tailoringtrainingprogramstoindividualemployees,
Sustainability
12
consideringtheirexistingskills,learningpace,andareasofinterestorweakness.
Generatesdesignoptionsforproductsusingeco-friendlyinnovations.
5
Demandforecasting
Assistinpredictingdemandtrendsorinventoryissues.
13
Individualization
Asdatabecomesmorerobust,thefocuswillmovefrom
Virtualtryon
UsingARcustomerscanvirtually‘tryon’clothes.AIcananalyzethefit,
6
color,stylepreferences,andsuggestitemsthatcustomersmightlikebasedontheirpastbehaviorandpreferences.
segmentationtoindividualizationleadingtopromotionsbasedonhistoricalpurchases,currentcartandbrowsingtime.AIwouldstartpromptingrecommendationsonthepreviouspurchasetohelp
improvethepairingstandards.
14
SupplyChainOptimization
Virtualshoppingassistants
Personalizedassistancetoonlineshoppers,helpingthemfindproducts,answeringquestions.
7
Omni-channelretaildemandsoptimizedsupplychains,whereAI
analyzesdatatorecommendfulfillmentandrouteoptimization,
leadingtoimproveddeliveries,costredu
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