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1、Analysis:howtodoagoodproductmanager,gooddataanalysis?(ResearchpapersDownloadNews)productmanagerinordertododataanalysis,shouldhaveacompletesystemofthought,intermsofvalue,methodologiesandtoolsthreelevelsofreserve-relatedknowledge.Atthesametimebasedontheprod
2、uctandtheuserdatatopolishproducts,withdatatotestiteration,constantlyimprovetheuserexperience.Thisyear,withthespreadofbigdata,leanoperations,growthhackersconcepts,dataanalysisthinkingisgaininginpopularity.AttheforefrontoftheInternetproductmanagerwhocontact
3、edalargenumberofuserdata,butithasbeentroubledbyhowtododataanalysis.Thentheproductmanagerhowtobuildtheirowndataanalysisknowledge?Valuedataanalysis,thenwhere?Productmanagerfordataanalysiswhatspecificmethods?Howlearningdataanalysis?Thisarticlewillsharewithyo
4、utheseissues.9Dataanalysissystem:Roads,surgery,devices‘Road’referstovalues.Toproductmanageristododataanalysis,wemustfirstagreewiththemeaningandvalueofthedata.Adonotagreewiththedataanalysis,thesignificanceofthelackofunderstandingofdataanalysisaredifficultt
5、odothejob.‘Skill’referstothecorrectmethodology.Nowemerging‘GrowthHacker’(Growthhackers)conceptfromAARRRframe(acquisition,activation,retention,liquidityandrecommendedfivelinks)startwithproductanalysis,thisisaverygoodanalysis.‘Device’referstodataanalysistoo
6、ls.Agooddataanalysistoolsshouldhelptheproductmanagerfordataacquisition,dataanalysis,datavisualization,savingtimeandeffortproductmanager,productmanagertohelpusersbetterunderstandandbetteroptimizetheproduct.ValuedataanalysisProductmanagerfordataanalysisanda
7、nalysiscannotbe,buttheendresultyouwanttoputontheproductandtheuser.Dataanalysisshouldhelptooptimizeproductdesign,productmanageranditerative,drive9productsandsubscribergrowth.Whenwelineuponanewproduct(product)orfunction,itneedstobemonitoredandmeasureddata(m
8、easure).Thencollectedfrommonitoringuserbehaviordataproducts(data),andthesedatawereanalyzedandsummarized(learn).Finally,theconclusionsdrawnfromtheanalysisandopinion(idea),ifthedataprovesthatournewproducts/featuresare