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1、ModernBusinessIntelligenceunderthewaveofBigDataIntroductionBusinessintelligenceisasetofcompletesolutionsusedforintegratingtheexisteddataofcorporationandprovidesreportsinashortmoment,hencecanhelpcorporationmakewisedecisiononbusinessoperation(Yan2012).Initiallybeingputforwardin1996,intellige
2、ncewasconsideredtobetechniquescomposedofdatawarehouse,querystatements,dataanalysis,datamining,databackupandrecoveryandsoon.Atpresent,businessintelligenceareusuallyusedtotransformthedataofcorporationintoknowledgewiththeuseoftechniquesincludingdatawarehouse,OnlineAnalyticProcess(OLAP)anddata
3、mining.Fromthispoint,businessintelligenceisnotanewtechnique,butanintegrateduseofexistedtechniques.Thedatausedbybusinessintelligencetotransformintoknowledgecomesfromtheorder,stock,transactionaccounts,documentsofcustomerandsuppliers,corporationrivalsetc.aswellasallkindsofexternaldataintheent
4、erprisebusinesssystem(Mike2013).Businessintelligencecanassisttoestablishinformationcentersuchasproducingallkindsofworkingreports.Accordingtotheanalysisofeachsaleindicatorsuchasgrossprofit,crossratioprofitabilityandturnover,predictinginformationcanbearrivedatforsales.Accordingtosaledataandp
5、roductbasicdata,productstructureincludingbrand,price,paymentmeanscanbeanalyzedtoinstructpropersourceallocationandstrengthenproductcompetitiveness.AccordingtotheresearchinstitutionGartner,bigdataisdefinedtobeofstrongerpowerofdecision–making,insight,optimizingprocessanddiverseinformationcapi
6、talafterprocessedbyanewpattern(Victor2014).AccordingtoglobalresearchinstitutionMcKinsey&Co,bigdataissohugedatasetthatitisbeyondthecapacityoftraditionaldatabasesoftwaretechniquesintermsofobtaining,storing,managingandanalyzing(Kirk&Mason2015).Thekeystrategicmeaningofbigdatadoesnotlieinposses
7、singhugedatainformation,butintheprofessionaldisposalonthedata.Inanotherword,thekeypointtomakeprofitonbigdataistoimprovetheprocessabilityofdataandaddvaluethroughit.Inordertoprocessamassofdataeffectively,bigdatarequiresspecifictechniquesincludingMassivelyParalle
