Magic Quadrant for Business Intelligence and Analytics Platforms

10/4/2015 MagicQuadrantforBusinessIntelligenceandAnalyticsPlatforms

http://www.gartner.com/technology/reprints.do?id=12AELNBP&ct=150223&st=sb 1/44

MagicQuadrantforBusinessIntelligenceandAnalyticsPlatforms23February2015ID:G00270380

Analyst(s):RitaL.Sallam,BillHostmann,KurtSchlegel,JoaoTapadinhas,JoshParenteau,ThomasW.Oestreich

VIEWSUMMARY

TraditionalBImarketshareleadersarebeingdisruptedbyplatformsthatexpandaccesstoanalyticsanddeliverhigherbusinessvalue.BIleadersshouldtrackhowtraditionaliststranslatetheirforwardlookingproductinvestmentsintorenewedmomentumandanimprovedcustomerexperience.

MarketDefinition/DescriptionThisdocumentwasrevisedon22May2015.Thedocumentyouareviewingisthecorrectedversion.Formoreinformation,seetheCorrectionspageongartner.com.

BIandAnalyticsPlatformCapabilitiesDefinitionTheBIandanalyticsplatformmarketisundergoingafundamentalshift.Duringthepasttenyears,BIplatforminvestmentshavelargelybeeninITledconsolidationandstandardizationprojectsforlargescalesystemsofrecordreporting.Thesehavetendedtobehighlygovernedandcentralized,whereITauthoredproductionreportswerepushedouttoinformabroadarrayofinformationconsumersandanalysts.Now,awiderrangeofbusinessusersaredemandingaccesstointeractivestylesofanalysisandinsightsfromadvancedanalytics,withoutrequiringthemtohaveITordatascienceskills.Asdemandfrombusinessusersforpervasiveaccesstodatadiscoverycapabilitiesgrows,ITwantstodeliveronthisrequirementwithoutsacrificinggovernance.

Whiletheneedforsystemofrecordreportingtorunbusinessesremains,thereisasignificantchangeinhowcompaniesaresatisfyingtheseandnewbusinessuserdrivenrequirements.Theyareincreasinglyshiftingfromusingtheinstalledbase,traditional,ITcentricplatformsthataretheenterprisestandard,tomoredecentralizeddatadiscoverydeploymentsthatarenowspreadingacrosstheenterprise.Thetransitionistoplatformsthatcanberapidlyimplementedandcanbeusedbyeitheranalystsandbusinessusers,tofindinsightsquickly,orbyITtoquicklybuildanalyticscontenttomeetbusinessrequirementstodelivermoretimelybusinessbenefits.Gartnerestimatesthatmorethanhalfofnetnewpurchasingisdatadiscoverydriven(see"MarketTrends:BusinessIntelligenceTippingPointsHeraldaNewEraofAnalytics").Thisshifttoadecentralizedmodelthatisempoweringmorebusinessusersalsodrivestheneedforagoverneddatadiscoveryapproach.

Thisisacontinuationofasixyeartrend,wheretheinstalledbase,ITcentricplatformsareroutinelybeingcomplemented,andin2014,theywereincreasinglydisplacedfornewdeploymentsandprojectswithbusinessuserdrivendatadiscoveryandinteractiveanalysistechniques.ThisisalsoincreasingIT'sconcernsandrequirementsaroundgovernanceasdeploymentsgrow.Makinganalyticsmoreaccessibleandpervasivetoabroaderrangeofusersandusecasesistheprimarygoaloforganizationsmakingthistransition.

TraditionalBIplatformvendorshavetriedveryhardtomeettheneedsofthecurrentmarketbydeliveringtheirownbusinessuserdrivendatadiscoverycapabilitiesandenticingadoptionthroughbundlingandintegrationwiththerestoftheirstack.However,theirofferingshavebeenpaleimitationsofthesuccessfuldatadiscoveryspecialists(thegoldstandardbeingTableau)andasaresult,havehadlimitedadoptiontodate.Theirinvestmentsinnextgenerationdatadiscoverycapabilitieshavethepotentialtodifferentiatethemandspuradoption,buttheseofferingsareworksinprogress(forexample,SAPLumiraandIBMWatsonAnalytics).

Also,insupportofwideruseradoption,companiesandindependentsoftwarevendorsareincreasinglyembeddingtraditionalreporting,dashboardsandinteractiveanalysisintobusinessprocessesorapplications.TheyarealsoincorporatingmoreadvancedandprescriptiveanalyticsbuiltfromstatisticalfunctionsandalgorithmsavailablewithintheBIplatformintoanalyticsapplications.Thiswilldeliverinsightstoabroaderrangeofanalyticsusersthatlackadvancedanalyticsskills.

AscompaniesimplementamoredecentralizedandbimodalgoverneddatadiscoveryapproachtoBI,businessusersandanalystsarealsodemandingaccesstoselfservicecapabilitiesbeyonddatadiscoveryandinteractivevisualizationofITcurateddatasources.Thisincludesaccesstosophisticated,yetbusinessuseraccessible,datapreparationtools.Businessusersarealsolookingforeasierandfasterwaystodiscoverrelevantpatternsandinsightsindata.Inresponse,BIandanalyticsvendorsareintroducingselfservicedatapreparation(alongwithanumberofstartupssuchasClearStoryData,Paxata,TrifactaandTamr),andsmartdatadiscoveryandpatterndetectioncapabilities(alsoanareaforstartupssuchas

ADDITIONALPERSPECTIVES

Industry:Insurance

STRATEGICPLANNINGASSUMPTIONS

By2018,datadiscoveryanddatamanagementevolutionwilldrivemostorganizationstoaugmentcentralizedanalyticarchitectureswithdecentralizedapproaches.

By2017,mostdatadiscoverytoolswillhaveincorporatedsmartdatadiscoverycapabilitiestoexpandthereachofinteractiveanalysis.

By2017,mostbusinessusersandanalystsinorganizationswillhaveaccesstoselfservicetoolstopreparedataforanalysis.

By2017,mostbusinessintelligenceandanalyticsplatformswillnativelysupportmultistructureddataandanalysis.

Through2016,lessthan10%ofselfservicebusinessintelligenceinitiativeswillbegovernedsufficientlytopreventinconsistenciesthatadverselyaffectthebusiness.

ACRONYMKEYANDGLOSSARYTERMS

AWS AmazonWebServices

BI businessintelligence

CPG consumerpackagedgoods

CPM corporateperformancemanagement

ETL extraction,transformationandloading

HDFS HadoopDistributedFileSystem

IoT InternetofThings

KPI keyperformanceindicator

LOB lineofbusiness

MDX MultidimensionalExpressions

OLAP onlineanalyticalprocessing

SMB smallormidsizebusiness

EVIDENCE

1Gartnerdefinestotalsoftwarerevenueasrevenuethatisgeneratedfromappliances,newlicenses,updates,subscriptionsandhosting,technicalsupport,andmaintenance.Professionalservicesrevenueandhardwarerevenuearenotincludedintotalsoftwarerevenue(see"MarketShareAnalysis:BusinessIntelligenceandAnalyticsSoftware,2013").

Gartner'sanalysts,theratingsandcommentaryinthisreportarebasedonanumberofsources:customers'perceptionsofeachvendor'sstrengthsandchallenges,asgleanedfromtheirBIrelatedinquiriestoGartneranonlinesurveyofvendors'customersconductedinOctober2014,whichyielded2,083responsesaquestionnairecompletedbythevendorsvendors'briefingsincludingproductdemonstrations,strategyandoperationsanextensiveRFPquestionnaireinquiringhoweachvendordeliversspecificfeaturesthatmakeupthe13criticalcapabilities(seeupdated



BeyondCoreandDataRPM)toaddresstheseemergingrequirementsandtocreatedifferentiationinthemarket.Theintentistoexpandtheuseofanalytics,particularlyinsightfromadvancedanalytics,toabroadrangeofconsumersandnontraditionalBIusersincreasinglyonmobiledevicesanddeployedinthecloud.

InterestincloudBIdeclinedslightlyduring2014,to42%comparedwithlastyear's45%ofcustomersurveyrespondentsreportingtheyeitherare(28%)orareplanningtodeploy(14%)BIinsomeformofprivate,publicorhybridcloud.Theinterestcontinuedtoleantowardprivatecloudandcomesprimarilyfromthoselinesofbusiness(LOBs)wheredataforanalysisisalreadyinthecloud.AsdatagravityshiftstothecloudandinterestindeployingBIinthecloudexpands,newmarketentrantssuchasSalesforceAnalyticsCloud,cloudBIstartupsandcloudBIofferingsfromonpremisesvendorsareemergingtomeetthisdemandandoffermoreoptionstobuyersofBIandanalyticsplatforms.WhilemostBIvendorsnowhaveacloudstrategy,manyleadersofBIandanalyticsinitiativesdonothaveastrategyforhowtocombineandintegratecloudserviceswiththeironpremisescapabilities.

Moreover,companiesareincreasinglybuildinganalyticsapplications,leveragingarangeofnewmultistructureddatasourcesthatarebothinternalandexternaltotheenterpriseandstoredinthecloudandonpremisestoconductnewtypesofanalysis,suchaslocationanalytics,sentimentandgraphanalytics.Thedemandfornativeaccesstomultistructuredandstreamingdatacombinedwithinteractivevisualizationandexplorationcapabilitiescomesmostlyfromearlyadopters,butarebecomingincreasinglyimportantplatformfeatures.

Asaresultofthemarketdynamicsdiscussedabove,forthisMagicQuadrant,GartnerdefinesBIandanalyticsasasoftwareplatformthatdelivers13criticalcapabilitiesacrossthreecategoriesenable,produceandconsumeinsupportoffourusecasesforBIandanalytics.ThesecapabilitiessupportbuildingananalyticsportfoliothatmapstoshiftingrequirementsfromITtothebusiness.Fromdeliveryofinsightstotheanalyticsconsumer,throughaninformationportaloftendeployedcentrallybyIT,toananalyticsworkbenchusedbyanalystsrequiringinteractiveandsmartdataexploration(see"HowtoArchitecttheBIandAnalyticsPlatform"),thesecapabilitiesenableBIleaderstosupportarangeoffunctionsandusecasesfromsystemofrecordreportingandanalyticapplicationstodecentralizedselfservicedatadiscovery.Adatasciencelabwouldbeanadditionalcomponentofananalyticsportfolio.Predictiveandprescriptiveanalyticsplatformcapabilitiesandvendorsarecoveredinthe"MagicQuadrantforAdvancedAnalyticsPlatforms."

SeeNote1forhowcapabilitydefinitionsinthisyear'sMagicQuadranthavebeenmodifiedfromlastyeartoreflectourcurrentviewofthecriticalcapabilitiesforBIandanalyticsplatforms.

The13CriticalCapabilitiesandUseCasesVendorsareassessedfortheirsupportoffourmainusecases:

1. CentralizedBIProvisioning:SupportsaworkflowfromdatatoITdeliveredandmanagedcontent.2. DecentralizedAnalytics:Supportsaworkflowfromdatatoselfserviceanalytics.3. GovernedDataDiscovery:Supportsaworkflowfromdatatoselfserviceanalyticstosystemsof

record,ITmanagedcontentwithgovernance,reusabilityandpromotability.4. OEM/EmbeddedBI:SupportsaworkflowfromdatatoembeddedBIcontentinaprocessor

application.

Vendorsarealsoassessedaccordingtothefollowing13criticalcapabilities.SubcriteriaforeacharelistedinNote2.HowwellMagicQuadrantLeaders'andChallengers'platformssupportthesecriticalcapabilitiesisexploredingreaterdetailinthe"CriticalCapabilitiesforBIandAnalyticsPlatforms"(tobepublishedshortly).

BIandAnalyticsPlatformCapabilitiesfor2015

EnableBusinessUserDataMashupandModeling:"Draganddrop,"userdrivendatacombinationofdifferentsourcesandthecreationofanalyticmodelssuchasuserdefinedmeasures,sets,groupsandhierarchies.Advancedcapabilitiesincludesemanticautodiscovery,intelligentjoins,intelligentprofiling,hierarchygeneration,datalineageanddatablendingonvarieddatasources,includingmultistructureddata.InternalPlatformIntegration:Acommonlookandfeel,install,queryengine,sharedmetadata,promotabilityacrossallplatformcomponents.BIPlatformAdministration:Capabilitiesthatenablesecuringandadministeringusers,scalingtheplatform,optimizingperformanceandensuringhighavailabilityanddisasterrecovery.Thesecapabilitiesshouldbecommonacrossallplatformcomponents.MetadataManagement:Toolsforenablinguserstoleveragethesamesystemsofrecordsemanticmodelandmetadata.Theyshouldprovidearobustandcentralizedwayforadministratorstosearch,capture,store,reuseandpublishmetadataobjects,suchasdimensions,hierarchies,measures,performancemetrics/KPIs,andreportlayoutobjects,parametersandsoon.Administratorsshouldhavetheabilitytopromoteabusinessuserdefineddatamashupandmetadatatothesystemsofrecordmetadata.CloudDeployment:Platformasaserviceandanalyticapplicationasaservicecapabilitiesforbuilding,deployingandmanaginganalyticsandanalyticapplicationsinthecloud,basedondatabothinthecloudandonpremises.DevelopmentandIntegration:Theplatformshouldprovideasetofprogrammaticandvisualtoolsandadevelopmentworkbenchforbuildingreports,dashboards,queriesandanalysis.Itshouldenablescalableandpersonalizeddistribution,schedulingandalerts,andworkflowofBIandanalyticscontentandapplicationsviaemail,toaportalortomobiledevices.ItshouldincludetheabilitytoembedandcustomizeBIplatformcomponentsinabusinessprocess,applicationorportal.

toolkit)apreparedvideodemonstrationofhowwellvendorBIplatformsaddressthe13criticalcapabilitiesandbiscorecard.comresearch.

NOTE1CHANGEINCAPABILITIESDEFINITIONSFROMLASTYEAR'SMAGICQUADRANT

Capabilitiesdropped/changed:

MicrosoftOfficeintegrationwasdroppedasastandalonecriticalcapability.ItisfactoredintosubcriteriaforITDevelopedReportingandDashboards(Produce)GeospatialandLocationIntelligenceisnowasubcriteriaforAnalyticsDashboardsandContent(Produce)SupportforBigDataSourcesisnowincludedasasubcriteriaofDevelopmentandIntegration(Enable)OLAPandAdhocQueryandReportingarenowsubcriteriaofTraditionalStylesofAnalysis(Produce)EmbeddedAdvancedAnalyticsisnowasubcriteriaofAnalyticsDashboardsandContent(Produce)EmbeddableAnalyticsisnowEmbeddedBI(Consume)SearchBasedDataDiscoveryisnowasubcriteriaofFreeformDataExploration(Produce)InteractiveVisualizationisnowsubcriteriaofAnalyticsDashboardsandContentandFreeformDataExploration(Produce)Wehavecreatedtwocapabilitiesfordashboards:AnalyticsDashboardsandContentandITDevelopedReportsandDashboards,todifferentiatebetweenbusinessuserdrivenandfreeforminteractivedashboardsandthosethatareITdefined.ReportingisnowpartofITDeveloperReportsandDashboards.

CapabilitiesAdded:

CloudDeployment

NOTE2DETAILEDCAPABILITIESSUBCRITERIA

BusinessUserDataMashupandModeling:"Draganddrop,"userdrivendatacombinationofdifferentsourcesandthecreationofanalyticmodels,suchasuserdefinedmeasures,sets,groupsandhierarchies.Advancedcapabilitiesincludesemanticautodiscovery,intelligentjoins,intelligentprofiling,hierarchygeneration,datalineageanddatablendingonvarieddatasources,includingmultistructureddata.

BusinessuserdatamashupandjoinsBusinessuserdefinedcalculations,groupingDatainferenceDataprofilingandenrichmentBusinessuserdatalineage

InternalPlatformIntegration:Acommonlookandfeel,install,queryengine,sharedmetadata,promotabilityacrossallplatformcomponents.

IntegrationwithcomplementaryBIcapabilitiesAbilitytopromotebusinessusergenerateddatamashupstothesystemsofrecordCommonsecuritymodelandadministrationapplicationcomponentsacrosstheplatformIntegratedsemantic/metadatalayerIntegratedandcommonfrontendtools

BIPlatformAdministration:Capabilitiesthatenablesecuringandadministeringusers,scalingtheplatform,optimizingperformanceandensuringhighavailabilityanddisasterrecovery.Thesecapabilitiesshouldbecommonacrossallplatformcomponents.

ArchitectureSecurityUseradministrationScalabilityandperformanceHighavailabilityanddisasterrecovery

MetadataManagement:Toolsforenablinguserstoleveragethesamesystemsofrecordsemanticmodelandmetadata.Theyshouldprovidearobustandcentralizedwayforadministratorstosearch,capture,store,reuseandpublishmetadataobjects,suchasdimensions,hierarchies,measures,performancemetrics/keyperformanceindicators(KPIs),andreportlayoutobjects,parametersandsoon.Administratorsshouldhavetheabilitytopromoteabusinessuserdefineddatamashupandmetadatatothesystemsof



ProduceFreeFormInteractiveExploration:Enablestheexplorationofdataviathemanipulationofchartimages,withthecolor,brightness,size,shapeandmotionofvisualobjectsrepresentingaspectsofthedatasetbeinganalyzed.Thisincludesanarrayofvisualizationoptionsthatgobeyondthoseofpie,barandlinecharts,includingheatandtreemaps,geographicmaps,scatterplotsandotherspecialpurposevisuals.Thesetoolsenableuserstoanalyzethedatabyinteractingdirectlywithavisualrepresentationofit.AnalyticDashboardsandContent:Theabilitytocreatehighlyinteractivedashboardsandcontentwithvisualexplorationandembeddedadvancedandgeospatialanalyticstobeconsumedbyothers.ITDevelopedReportingandDashboards:Providestheabilitytocreatehighlyformatted,printreadyandinteractivereports,withorwithoutparameters.ITauthoredorcentrallyauthoreddashboardsareastyleofreportingthatgraphicallydepictsperformancemeasures.Thisincludestheabilitytopublishmultiobject,linkedreportsandparameterswithintuitiveandinteractivedisplaysdashboardsoftenemployvisualizationcomponentssuchasgauges,sliders,checkboxesandmaps,andareoftenusedtoshowtheactualvalueofthemeasurecomparedwithagoalortargetvalue.Dashboardscanrepresentoperationalorstrategicinformation.TraditionalStylesofAnalysis:Adhocqueryenablesuserstoasktheirownquestionsofthedata,withoutrelyingonITtocreateareport.Inparticular,thetoolsmusthaveareusablesemanticlayertoenableuserstonavigateavailabledatasources,predefinedmetrics,hierarchiesandsoon.Onlineanalyticalprocessing(OLAP)enablesuserstoanalyzedatawithfastqueryandcalculationperformance,enablingastyleofanalysisknownas"slicinganddicing."Usersareabletonavigatemultidimensionaldrillpaths.Theyalsohavetheabilitytowritebackvaluestoadatabaseforplanningand"whatif?"modeling.Thiscapabilitycouldspanavarietyofdataarchitectures(suchasrelational,multidimensionalorhybrid)andstoragearchitectures(suchasdiskbasedorinmemory).

ConsumeMobile:Enablesorganizationstodevelopanddelivercontenttomobiledevicesinapublishingand/orinteractivemode,andtakesadvantageofmobiledevices'nativecapabilities,suchastouchscreen,camera,locationawarenessandnaturallanguagequery.CollaborationandSocialIntegration:Enablesuserstoshareanddiscussinformation,analysis,analyticcontentanddecisionsviadiscussionthreads,chat,annotationsandstorytelling.EmbeddedBI:Capabilitiesincludingasoftwaredeveloper'skitwithAPIsandsupportforopenstandardsforcreatingandmodifyinganalyticcontent,visualizationsandapplications,andembeddingthemintoabusinessprocessand/oranapplicationorportal.Thesecapabilitiescanresideoutsidetheapplication,reusingtheanalyticinfrastructure,butmustbeeasilyandseamlesslyaccessiblefrominsidetheapplication,withoutforcinguserstoswitchbetweensystems.ThecapabilitiesforintegratingBIandanalyticswiththeapplicationarchitecturewillenableuserstochoosewhereinthebusinessprocesstheanalyticsshouldbeembedded.

MagicQuadrant

Figure1.MagicQuadrantforBusinessIntelligenceandAnalyticsPlatforms

recordmetadata.

PromotabilityDatamodelingReuseConnectivityanddatasourcesDatalineageandimpactanalysis

CloudDeployment:Platformasaserviceandanalyticapplicationasaservicecapabilitiesforbuilding,deployingandmanaginganalyticsandanalyticapplicationsinthecloudbasedondatabothinthecloudandonpremises.

Builtindatamanagementcapabilities(includingdataintegrationanddatawarehouse)SpecialpurposeconnectorstocloudbaseddatasourcesDirectconnectforbothcloudandonpremisesdatasources(hybrid)PackagedcontentSelfserviceadministrationSelfserviceelasticity

DevelopmentandIntegration:Theplatformshouldprovideasetofprogrammaticandvisualtoolsandadevelopmentworkbenchforbuildingreports,dashboards,queriesandanalysis.Itshouldenablescalableandpersonalizeddistribution,schedulingandalertsandworkflowofBIandanalyticscontentandapplicationsviaemail,toaportalortomobiledevices.ItshouldincludetheabilitytoembedandcustomizeBIplatformcomponentsinabusinessprocess,applicationorportal.

ExternalplatformintegrationEmbeddable/embeddedBIandanalyticsSupportforbigdatasources(includingcloud)Developerproductivity(APIs,SDKs,versioning,multideveloperfeatures)SchedulingandalertsWorkflowandevents

FreeFormInteractiveExploration:Enablestheexplorationofdataviathemanipulationofchartimages,withthecolor,brightness,size,shapeandmotionofvisualobjectsrepresentingaspectsofthedatasetbeinganalyzed.Thisincludesanarrayofvisualizationoptionsthatgobeyondthoseofpie,barandlinecharts,includingheatandtreemaps,geographicmaps,scatterplotsandotherspecialpurposevisuals.Thesetoolsenableuserstoanalyzethedatabyinteractingdirectlywithavisualrepresentationofit.

InteractivityandexplorationUserexperienceInformationvisualizationsDisconnectedexplorationSearchbaseddatadiscoveryDataflowContentauthoringInmemoryinteractiveanalysis

AnalyticDashboards&Content:Theabilitytocreatehighlyinteractivedashboardsandcontentwithvisualexplorationandembeddedadvancedandgeospatialanalyticstobeconsumedbyothers.

InformationvisualizationsDisconnectedexplorationEmbeddedadvancedanalyticsGeospatialandlocationintelligenceContentauthoringConsumerinteractivityandexploration

ITDevelopedReportingandDashboards:Providestheabilitytocreatehighlyformatted,printreadyandinteractivereports,withorwithoutparameters.ITorcentrallyauthoreddashboardsareastyleofreportingthatgraphicallydepictsperformancesmeasures.Includestheabilitytopublishmultiobject,linkedreportsandparameterswithintuitiveandinteractivedisplaysdashboardsoftenemployvisualizationcomponentssuchasgauges,sliders,checkboxesandmaps,andareoftenusedtoshowtheactualvalueofthemeasurecomparedtoagoalortargetvalue.Dashboardscanrepresentoperationalorstrategicinformation.

Productionreporting,distributionandprintingParameterizations,filters,promptsReportanddashboardnavigationandguidednavigationDesignenvironmentanddocumentlayoutVisualcomponents,suchasgauges,sliders,dials,checkboxes

TraditionalStylesofAnalysis:Adhocqueryenablesuserstoasktheirownquestionsofthedata,withoutrelyingonITtocreateareport.Inparticular,thetools



Source:Gartner(February2015)

OverviewofMagicQuadrantPositioningThevendors'positionsinthisMagicQuadrantreflectthecurrentmarkettransition.

Theyear2014hasbeenanotheryearofchallengingexecutionforthemarketshareleadersintheBIandanalyticsmarket,juxtaposedagainststrongexecutionbythedatadiscoveryvendorsthataresatisfyingcustomers,meetingtheirbuyingrequirementsanddeliveringgreaterbusinessvalue.Growingbusinessuserrequirementsforeaseofuse,supportforuserstoconductcomplextypesofanalysis,andafasttimetobusinessbenefitsarenotbeingwellmetbyvendorsthatownthelarge,ITcentricinstalledbasemarketshare.CustomersofITcentricplatformsthathaveabroadrangeofBIplatformcapabilitiesreportusingthemnarrowly,mostoftenforproductionreporting.Ontheotherhand,businesscentricplatformssuchasTableau,Qlikandotheremergingvendorshaveamorenarrowsetofcapabilities,butareusedmorebroadlyforarangeofBIandanalyticsfunctionsincludingforreporting,forwhichtheyarenotoptimallysuited,andforexpandingusecasesprimarilybecausetheyareeasytouseanddeploy.

ThecurrentBIandanalyticsmarketsituationlookssimilartothemainframe/workstationmarketinthelate1980s,whichhadacompleteshiftinrequirementsandbuyers.Forexample,theseshiftsdroveHPtoacompleterethinkandredesignofitscomputingplatformstrategyandarchitecture.UltimatelythismarketshiftinrequirementsandbuyerswipedoutDEC,sinceitwasnoteffectiveinadaptingtotheshift.ThemarketshareleadersintheBIandanalyticsmarketarenowatasimilarcrossroads.

WhiledatadiscoveryplatformspredominantlycomplementITcentricsystemsofrecorddeployments,theyarebeingusedformuchofthenewanalyticsprojectinvestments.Theresulthasbeenincreasedmarginalizationoftheinstalledbasevendors,whichwithoutcompetitiveofferingshavefeweropportunitiesforexpandedgrowth.

DisplacementoftheincumbentsbyTableau,Qlikandothersareincreasinginpockets,particularlyinSMBs,althoughthistrendisnotyetmainstream.Gartnerinquiriesandsurveydatasuggestthat,increasingly,companieswouldliketoexpandtheiruseof,andevenstandardizeon,datadiscoveryplatformsfortheirlargerenterpriseBIdeployments,butfindthatinmanycasestheseplatformslackthenecessaryenterprisefeaturesinrelationtogovernance,administrationandscalability(amongotherthings).Thedatadiscoveryvendorscontinuetoinvestincapabilitiestoreversetheselimitations.

Ifwebegintoseelargescaledisplacementsbytheseandotherbusinessusercentricvendors,themarketshiftwillbecomplete(see"MarketTrends:TheCollisionofDataDiscoveryandBusinessIntelligenceWillCauseDestruction").Rightnow,themajorityofbuyersseemtobewaitingtoseeiftheirenterprisestandardBIplatformwilldeliveronthebusinessuserorientedcapabilitiestheyprefertousetomeetnewanalyticsrequirementsbeyondproductionreporting.Theexistenceofseparatesystemsofrecordreportingplatformsanddatadiscoveryplatformscanposechallengesfororganizationsattemptingtogovern,scaleandsupportthesedifferentenvironmentsandpacelayers(see"ApplyingGartner'sPaceLayerModeltoBusinessAnalytics"),withnosinglevendorfullyaddressingboth.

musthaveareusablesemanticlayertoenableuserstonavigateavailabledatasources,predefinedmetrics,hierarchiesandsoon.OLAPenablesuserstoanalyzedatawithfastqueryandcalculationperformance,enablingastyleofanalysisknownas"slicinganddicing."Usersareabletonavigatemultidimensionaldrillpaths.Theyalsohavetheabilitytowritebackvaluestoadatabaseforplanningand"whatif?"modeling.Thiscapabilitycouldspanavarietyofdataarchitectures(suchasrelational,multidimensionalorhybrid)andstoragearchitectures(suchasdiskbasedorinmemory).

OLAPAdhocquery

Mobile:Enablesorganizationstodevelopanddelivercontenttomobiledevicesinapublishingand/orinteractivemode,andtakesadvantageofmobiledevices'nativecapabilities,suchastouchscreen,camera,locationawarenessandnaturallanguagequery.

ContentauthoringandinformationexplorationInformationdisplay,interactionandcontextawarenessMultidevicesupportSecurityandadministrationOfflinemodeexploration

CollaborationandSocialIntegration:Enablesuserstoshareanddiscussinformation,analysis,analyticcontentanddecisionsviadiscussionthreads,chat,annotationsandstorytelling.

StorytellingDiscussionthreadsIntegrationwithsocialplatformsTimelinesSharingandrealtimecollaboration

EmbeddedBI:Capabilitiesincludingasoftwaredeveloper'skitwithAPIsandsupportforopenstandardsforcreatingandmodifyinganalyticcontent,visualizationsandapplications,embeddingthemintoabusinessprocess,and/oranapplicationorportal.Thesecapabilitiescanresideoutsidetheapplication,reusingtheanalyticinfrastructure,butmustbeeasilyandseamlesslyaccessiblefrominsidetheapplication,withoutforcinguserstoswitchbetweensystems.ThecapabilitiesforintegratingBIandanalyticswiththeapplicationarchitecturewillenableuserstochoosewhereinthebusinessprocesstheanalyticsshouldbeembedded.

Capabilitiesforembedding(APIs,openstandards,SDKs,componentlibraries)Capabilitiestoconsumecommonanalyticsmethods,suchasPredictiveModelMarkupLanguage(PMML)andRbasedmodelsinthemetadatalayerand/orinareportobjectoranalysis

NOTE3CUSTOMERSURVEYMETRICSREFERENCEDINTHISREPORT

MagicQuadrantcustomersurveycompositesuccessmeasuresarereferencedthroughoutthereport.Customersurveyparticipantsscoredvendorsoneachmetriconascaleof1to7(where1to2=poor,3to5=average,and6to7=outstanding).

Belowisareferenceforhowthesecompositemetricsarecalculated:

CustomerExperience:Thisisacombinedscoreconsistingofratingforproductquality,support,availabilityofskills,userenablement(whichincludesscoresfortraining,onlinevideos,onlinecommunitiesanddocumentation)andmigrationdifficulty.SalesExperience:Customersratetheirsatisfactionwithpresales,contracting,pricingandaccountmanagement.MarketUnderstanding:Thisisacompositemeasureofeaseofuseforconsumers,easeofusefordevelopers,easeofuseforadministrationanddeployment,complexityofanalysis(describedbelow)breadthofuse(thismeasurestherangeofanalyticactivitiesforwhichtheplatformisused).Webelievethesethreemeasuresmaptocurrentbuyingrequirements.ComplexityofAnalysis:Thisisaweightedaveragescorebasedonthepercentageofrespondentsreportinguseoftheplatformscoreforthetypesofanalysisusersconductwiththeplatformmoreinteractiveandadvancedtypes



Itisverylikelythat2015willbeacriticalyearinwhichdemocratizingaccesstoanalyticswillcontinuetodominatemarketrequirementsandstresstheneedforgovernance.Nextgenerationdatadiscoverycapabilitiesthatleverageadvancedanalytics,buthideitscomplexitytosimplifybusinessuserdatapreparationandautomatepatternexploration,arelikelytobemoreimportantenablers.Theextenttowhichtheseemergingcapabilitiesandtrendsimpactbuyingin2015andbeyondwilldeterminewhichexistingandnewvendorsemergefromthismarkettransitionasmarketleaders.

TheneedforplatformstoscaleandperformforlargeramountsofdiversedatawillalsocontinuetodominateBImarketrequirements.Atthesametime,theabilitytobridgedecentralizedbusinessuserledanalyticsdeploymentswiththosecentralizedtoservetheenterprisewillbeacrucialongoingchallengeforITandBIvendors.Withtheaddedcomplexitiesintroducedbynewdatasources(suchasthecloud,realtimestreamingeventsandsensors,andmultistructureddata)andnewtypesofanalysis(suchaslink/networkandsentimentanalysis,andnewalgorithmsformachinelearning),newchallengesandopportunitieswillemergetointegrate,governandleveragethesenewsourcestobuildbusinessvalue.LeadersofBIinitiativeswillbeunderpressuretoidentifyandoptimizetheseopportunitiesandtodeliverresultsfasterthaneverbefore.

ThisdocumentpresentsaglobalviewofGartner'sopinionofthemainsoftwarevendorsthatshouldbeconsideredbyorganizationsseekingtouseBIandanalyticsplatformstodevelopBIapplications.BuyersshouldevaluatevendorsinallfourquadrantsandnotassumethatonlytheLeaderscandeliversuccessfulBIimplementations.Yearoveryearcomparisonsofvendors'positionsarenotparticularlyuseful,giventhemarket'sdynamics(suchasemergingcompetitors,newproductroadmapsandnewbuyingcenters)also,clients'concernshavechangedsinceourlastMagicQuadrant,particularlysinceweareinthemiddleofasignificantshiftinthismarket.ItisalsoimportanttoavoidthenaturaltendencytoascribeyourpersonaldefinitionsforCompletenessofVisionandAbilitytoExecutetothisMagicQuadrant.ForthepurposesofevaluationinthisMagicQuadrant,themeasuresareveryspecificandlikelytobebroaderthantheaxistitlesmayimplyatfirstglance.ReadersareencouragedtolookattheEvaluationCriteriaandVendorStrengthsandCautionssectionscarefullytofullyunderstandthenuancesofvendorplacementthatmaynotbeapparentintheMagicQuadrantgraphic.ForguidanceontheMagicQuadrantevaluationprocessandonhowtouseaMagicQuadrant,see"HowMarketsandVendorsAreEvaluatedinGartnerMagicQuadrants."

Gartnersurveyed2,083usersofBIplatformsaspartoftheresearchforthisreport.Vendorsareassessedonanumberofkeycustomersurveymetricsreferredtothroughoutthisreport(seeNote3forhowthesearecalculated).Foradetailedexplanationofvendorpositioning,pleaseseetheVendorStrengthsandCautionssectionandtheQuadrantDescriptionssectioninthisdocument.

AmoredetailedassessmentofproductcapabilitiesforvendorspositionedintheLeader'sandChallenger'squadrant(aswellasthosevendorsthatwereintheLeader'squadrantlastyear)areincludedintheforthcoming"CriticalCapabilitiesforBIandAnalyticsPlatforms."

VendorStrengthsandCautionsAlteryxTheAlteryxplatformoffersasubscriptionbasedanalyticsplatformtargetedatbusinessusers.Alteryx'stoolsincludeeasytouseadvanceddatapreparationcapabilities,locationanalyticsandextensiveintegrationwiththeRanalyticsecosystem.

AlteryxmaintainsitspositionintheVisionariesquadrantduetoitsabilitytosupportbusinessuserswithanintegratedsetofintuitivetoolsfordatapreparation,embeddedadvancedanalyticsandapplicationsharingaswellasdeepgeospatialanalytics.InsteadofbeingonemorereportinganddashboardtoolintheBIspace,thisvendortakesauniqueapproachtothemarketbroadeningtherangeofuserscapableofdevelopinganalyticprocesses.

Strengths

Selfservicedatapreparationisaplatformstrength,with54%ofAlteryxcustomersusingtheplatformforthispurpose.Itearnedthetopproductscoreforthiscapability.EmbeddedBI,includingembeddedadvancedanalytics,isanotherplatformstrength.Recognizingthebenefitsofthisapproach,customershaveawardedAlteryxthehighestscoresformarketunderstanding(easeofuse,complexityofanalysisandbreadthofuseseeNote3),withawidegaptothesecondbestvendor.TheplatformisalsoabletointegratewithTableauandQlik,whichcomplementAlteryxbyprovidingtheinteractivevisualizationcapabilitiesmissinginitsownportfolio.It'sawinwinsituation,becauseAlteryxinturnfillsthegapsindatapreparationandanalyticsfeaturesforTableauandQlik.Alteryxhasbeenabletoleveragethesepartnerships,participatinginjointeventsandmarketingactivitieswhichgreatlyappealstoitscustomers.Cloudera(forHadoop),Databricks(forSpark)andRevolutionAnalytics(forR),recentlyacquiredbyMicrosoft,areotherexamplesofclosepartnerssupportingarangeofexpandingcapabilitiesinthebigdataanalyticsspace.ConsultingandsystemintegrationcompaniessuchasAccenture,Amdocs,BCG,DeloitteandKPMGarealsostartingtodeployAlteryxintheircustomerbases.Alteryx'splatformearnsthethirdhighestscoreforeaseofuseforcontentcreation,butstillhasthegreatestabilitytosolvecomplexquestions(accordingtothecustomersurveyforthisMagicQuadrant).Easeofuseisalsoreflectedinafasterthanaveragereportdevelopmenttimeofonly2.1daysaresultinthetopthree(forfastestreportdevelopmenttimes)inthisMagicQuadrant.Alteryx'scustomersaregenerallyhappywiththeplatform,with60%reportingnoproblemswiththetooland46%ofthosesurveyedreportingnolimitationstoitsexpansionintheorganization(boththeseresultsareabovethesurveyaverage).Theplatformachievedthesecondbestscoresforperformance,atruntime.CustomersalsorateAlteryxinthetopthreevendors(forthisMagicQuadrant)intermsofachievingbusinessbenefits.Theseexperiencescontributedtocustomers'positiveviewofAlteryx'sfuture.

ofanalysisresultinahigherscorethanstaticorparameterizedreporting.Activitiesareweightedasfollows:

Viewingstaticreports=1Monitoringperformanceviaascorecard=1Viewingparameterizedreports=2Doingsimpleadhocanalysis=3Interactiveexplorationandanalysisofdata=4Doingmoderatelycomplextocomplexadhocanalysis=5Usingpredictiveanalyticsand/ordataminingmodels=5

UserEnablement:Thisisacompositescoreconsistingofindividualratingsfordocumentation,onlinetutorialsforcontentauthors,onlinetutorialsforconsumers,onlinecommunities,training,availabilityofskillsanduserconferences.BusinessBenefits:Thebusinessbenefitsscoreisanaverageofscoreson11differentbenefitareasasfollows:

IncreasedrevenueBetter,fasterdecisionsBusinessbenefits:customersatisfactionReduceITheadcountReduceLOBheadcountReduceexternalITcostsReduceothernonITcostsExpandtypesofanalysisMakebetterinsightsavailabletomorepeopleLinkKPIstocorporateobjectivesMonetizedata

EVALUATIONCRITERIADEFINITIONS

AbilitytoExecuteProduct/Service:Coregoodsandservicesofferedbythevendorforthedefinedmarket.Thisincludescurrentproduct/servicecapabilities,quality,featuresets,skillsandsoon,whetherofferednativelyorthroughOEMagreements/partnershipsasdefinedinthemarketdefinitionanddetailedinthesubcriteria.

OverallViability:Viabilityincludesanassessmentoftheoverallorganization'sfinancialhealth,thefinancialandpracticalsuccessofthebusinessunit,andthelikelihoodthattheindividualbusinessunitwillcontinueinvestingintheproduct,willcontinueofferingtheproductandwilladvancethestateoftheartwithintheorganization'sportfolioofproducts.

SalesExecution/Pricing:Thevendor'scapabilitiesinallpresalesactivitiesandthestructurethatsupportsthem.Thisincludesdealmanagement,pricingandnegotiation,presalessupport,andtheoveralleffectivenessofthesaleschannel.

MarketResponsiveness/Record:Abilitytorespond,changedirection,beflexibleandachievecompetitivesuccessasopportunitiesdevelop,competitorsact,customerneedsevolveandmarketdynamicschange.Thiscriterionalsoconsidersthevendor'shistoryofresponsiveness.

MarketingExecution:Theclarity,quality,creativityandefficacyofprogramsdesignedtodelivertheorganization'smessagetoinfluencethemarket,promotethebrandandbusiness,increaseawarenessoftheproducts,andestablishapositiveidentificationwiththeproduct/brandandorganizationinthemindsofbuyers.This"mindshare"canbedrivenbyacombinationofpublicity,promotionalinitiatives,thoughtleadership,wordofmouthandsalesactivities.

CustomerExperience:Relationships,productsandservices/programsthatenableclientstobesuccessfulwiththeproductsevaluated.Specifically,thisincludesthewayscustomersreceivetechnicalsupportoraccountsupport.Thiscanalsoincludeancillarytools,customersupportprograms(andthequalitythereof),availabilityofusergroups,servicelevelagreementsandsoon.

Operations:Theabilityoftheorganizationtomeetitsgoalsandcommitments.Factorsincludethequalityoftheorganizationalstructure,includingskills,experiences,programs,systemsandothervehiclesthatenabletheorganizationtooperateeffectivelyandefficientlyonanongoingbasis.CompletenessofVisionMarketUnderstanding:Abilityofthevendortounderstandbuyers'wantsandneedsandtotranslatethoseintoproductsandservices.Vendorsthatshowthehighestdegreeofvisionlistentoandunderstandbuyers'wantsandneeds,andcanshapeorenhance



Cautions

AlteryxisprimarilyusedindecentralizedBIdeploymentsanddoesnotsupportacentralizedBIusecaseputtingitamongthelowestpercentageforcustomersusingtheplatforminthisway.OnlyDatawatchandGoodDatacustomersreportlowerpercentagesofcentralizeddeployments.Italsosupportsthelowestnumberofusers,withonly55onaverage.ThisconfirmstheuseofAlteryxasapointsolutionforanalyticsatthedepartmentallevel.Itshould,therefore,bedeployedasacomplementtoothertoolswithinanorganization.Theplatformexcelsinsomecapabilities(asidentifiedabove),buthasalsoclearlimitationsinareassuchasreporting,dashboards,mobileBIcontentvisualizationanddeliveryingeneral,plusmetadatamanagementandBIplatformadministration.Thesegapsservetohighlightitsbestfitasacomplementtoothertools.Costoftheplatformisabarriertoitsadoption,with34%ofcustomersidentifyingthisasalimitationtofurtherexpansion.Thiscouldbecomeanissueasothertoolswithbetterpricepoints(namelyinthedatadiscoveryspace)gainmoreadvancedcapabilitiesfordatapreparationandanalyticsclosingAlteryx'swindowofopportunity.Weshould,however,recognizethatthisisamajorimprovementoverlastyear'sresultswhen67%ofcustomersidentifiedcostasalimitationtofurtherexpansion.AlthoughincreasinglysupportedbythepartnernetworksofTableauandQlik,AlteryxstilllacksawidegeographicpresenceithascoverageinNorthAmerica,alimitedpresenceinEuropeandexploratorymovesandpartnershipsintootherregions.Thecompanyisinvestingtoovercomethischallengeandwillcontinuetoexpanditsgeographicpresencethroughindirectchannels,buildingonthecurrentnetworkofpartnerspresentin60countries.

BirstBirsthasdefinedthepioneeringvisionofwhatasetofcloudBIandanalyticscapabilitiesshouldlooklike.IthasauniquetwotierdataarchitecturecoupledwithaBIandanalyticsplatformandallowscustomerstokeeptheirdataonpremisesiftheysochoose.

BirstisaChallengerinthisMagicQuadrant,primarilybecauseofitsproductstrategyandinnovationsandbecauseithasadapteditsstrategy,organizationandfocusasthemarketforcloudBIhasevolved.Ithasgrownthebusinessatagoodpaceinexecution/deliveryandcustomersatisfaction.

Strengths

Birst'stwotierarchitecturewhichplugsintoexistingdatawarehouses,datalakesorapplicationsautomatestheprocessofrefiningthedataandcreatingamoreunifiedmodel/viewofthedata,andaddsaBIlayerforbusinessusers'analyticsneeds.Birstoffersanappliancewiththesamecodebaseasthecloudofferingforthosecustomersthatwanttotakeadvantageofitsproductstrengthsbutpreferaprivatecloud.Unlikemostothercloudonlyplayers,withBirstacustomer'sapplicationdatacanbeleftonpremisesinthe"BirstLiveAccess"mode,whileaBI/analyticsapplication(usingthedata)runsintheBirstcloud.Customersreportthat59%oftheirdatacomesfromcloudsourcesthehighestofanyvendorinthisMagicQuadrant.OnlyGoodData,theotherpureplaycloudvendor,comesclosewith52%.BirstscoreswellforacentralizedBIusecase,withcoreproductstrengthsinclouddeployment,BIplatformadministration,developmentandintegration,embeddedBI,metadatamanagement,ITdevelopedreportsanddashboards,andtraditionalstylesofanalysis.Birstisratedaseasytointegrateanduse.Ashortdevelopmenttimeforfairlycomplexreportsandanalysisiscitedbycustomers.Birsthasamongthehighestintegrationscores(bothwithinandexternaltotheplatform)andalsoscoredhighoneaseandbreadthofuse.Customersreporthighachievementofbusinessbenefits.ManycustomersareusingBirst'spredefined,verticallyspecificBIapplications(forexample,BirstSalesAnalyticsSolutionAccelerator,BirstforInsurance,BirstforUsageAnalytics),whichhelpacceleratetimetovalueandbusinessbenefits.OperationalexecutionisakeystrengthandBirsthasamongthehighestcustomerexperience(seeNote3)scoresinthisMagicQuadrant.BirstistheonlyBIvendorwithachiefcustomerofficerwhoisresponsiblefordevelopingbestpracticesandworkingwithcustomersfromtheonsetofanengagementtoensuretheirsuccess.Everytwoweeks,Birsthosts"OfficeHours"foritscustomersviaaWebmeetinganycustomercanjointodiscussproductusageandbestpractices.BirsthasabroadrangeoftechnologyproviderpartnershipsandintegrationswithcompaniessuchasSAP,Amazon,NetSuite,SalesforceandInformatica,andmorerecentlywithTableau.

Cautions

Birstscoredwelloverallinproductfunctionality,butitsmainproductlimitationsarearoundthelackofadoption/penetrationofitsdatadiscoveryandmobilecapabilities.Collaborationcapabilitiesarealsoanareawhereitwillneedtoincreaseitslevelofinnovationtocompetitivelymeetbusinessuserrequirements.SurveydataforcloudBI(forthisMagicQuadrant)showsthattheprimaryinterest(andinvestment)isinhybridandprivatecloudofferings.BirsthasgenerallybeenviewedasmoreofapureplaypubliccloudBI/analyticscompany,withlimitedsupportforprivateclouds,andlittleawarenessofitsapplianceoffering.ItneedstorepositionitselftobeviewedasageneralpurposeBI/analyticsplatformratherthanasaspecialtycloudvendor.LargesoftwarevendorssuchasMicroStrategy,Oracle,IBM,SAPandSalesforceareenteringthemarketwiththeirowncloudBI/analyticsservicesandcouldbringadditionalpricingandcompetitivepressurestopureplayssuchasBirst.Birstisnottheincumbentplatforminmostofitscustomers'companies.MostlargeorganizationshaveextensiveinvestmentsinBI/analyticsinfrastructureandtools.Birstisstillmostoftendeployeddepartmentally,andmustsuccessfullypositionitselfasacomplementtotheenterprisestandard.BirstisprimarilyfocusedonNorthAmericaandNorthernEurope,buthasexpansionplans

thosewiththeiraddedvision.

MarketingStrategy:Aclear,differentiatedsetofmessagesconsistentlycommunicatedthroughouttheorganizationandexternalizedthroughthewebsite,advertising,customerprogramsandpositioningstatements.

SalesStrategy:Thestrategyforsellingproductsthatusestheappropriatenetworkofdirectandindirectsales,marketing,service,andcommunicationaffiliatesthatextendthescopeanddepthofmarketreach,skills,expertise,technologies,servicesandthecustomerbase.

Offering(Product)Strategy:Thevendor'sapproachtoproductdevelopmentanddeliverythatemphasizesdifferentiation,functionality,methodologyandfeaturesetsastheymaptocurrentandfuturerequirements.

BusinessModel:Thesoundnessandlogicofthevendor'sunderlyingbusinessproposition.

Vertical/IndustryStrategy:Thevendor'sstrategytodirectresources,skillsandofferingstomeetthespecificneedsofindividualmarketsegments,includingverticalmarkets.

Innovation:Direct,related,complementaryandsynergisticlayoutsofresources,expertiseorcapitalforinvestment,consolidation,defensiveorpreemptivepurposes.

GeographicStrategy:Thevendor'sstrategytodirectresources,skillsandofferingstomeetthespecificneedsofgeographiesoutsidethe"home"ornativegeography,eitherdirectlyorthroughpartners,channelsandsubsidiariesasappropriateforthatgeographyandmarket.



includingecosystempartnersfortheinternationalmarket.However,theseplansarecurrentlyastrategic"workinprogress"comparedwiththeLeadersinthisMagicQuadrant.

BoardInternationalBoarddeliversasingle,integratedplatform,whichprovidesprogrammingfreeBI,analyticsandcorporateperformancemanagement(CPM)capabilities.Thefocusistodeliveracentral,unifiedandconsistentinformationplatformasabasisforBIandperformancemanagementapplications.EuropeisBoard'smainmarketandithassubsidiariesinEurope,NorthAmericaandAsia/Pacific,andsupportsclientsinSouthAmericathoughpartners.

BoardispositionedasaNichePlayerinthisMagicQuadrant.(ItisalsopartoftheMagicQuadrantforCPMsuites,whereitwaspositionedasaVisionaryplayerin2014).ItservesthesubmarketforunifiedBIandCPMplatforms,whicharecentralizedandmostlyITdrivendeployments.Boardiswellpositionedinthissubmarketandhasachievedstronggrowthforseveralconsecutiveyears.

Strengths

ThepredominantreasonsforselectingBoardareinlinewiththeoverallsurveyresultswithrespecttothetopselectioncriteria:31%ofsurveyrespondentsselectedeaseofusefordevelopersandeaseofuseforendusersasimportantselectioncriteria,followedby19%ofrespondentsselectingfunctionalityasanimportantcriterion.Boardachievedaboveaveragescoresacrossthethreecriteriaforeaseofuseforcontentcreation,forendusersandforadministrationandimplementation.Boardisalsointhetopquartileforshortestreportdevelopmenttimes.SurveyrespondentsalsorateBoardasaboveaverageforachievementofbusinessbenefits.Board'scustomersshowaveryhighlevelofloyaltyanditachievedthehighestscoreoverall,with98%ofcustomersindicatingthattheyhavenoplanstodiscontinuetherelationship.Thisisfurthersupportedbyabout90%oftherespondentsreportingthattheyeitherhaveapositiveviewofBoard'sfutureortheirviewhaschangedtoapositiveoutlookduringthepastyear.Boardhascontinuedtoinvestinnewplatformcapabilitiestoimproveperformance,advancedanalyticsandmobile.ThenewlyintroducedHybridBitwiseMemoryPattern(HBMP)willfurtherimprovetheperformanceoftheplatformandenableahybridinmemoryarchitectureforperformanceoptimization.BoardhasalsostartedtodeliverpredictiveanalyticsthroughitsproprietaryBoardEnterpriseAnalyticsModeling(BEAM)forstatisticalforecastingandotherstatisticalfunctions.Currently,BoarddoesnotsupportR,butitdoeshavenativemobilesupportforiPad,AndroidandMicrosofttablets.Board'sproduct"sweetspot"isinitsintegratedCPMcapabilities.ThecombinationofBIandCPMcapabilitiesisBoard'skeydifferentiator.ItalsoscoredwellonITdevelopedreportsanddashboards,metadatamanagementandfreeformexploration,aswellasontraditionalstylesofanalysis.

Cautions

Boardachievedscoresthatwereslightlybelowaverageinallthreesupportrelatedaspects(thatis,supporttimetoresolution,supportresponseandsupportlevelofexpertise).Respondentsratedproductqualitywithascoreclosetotheoverallaverage,whichmightberelatedtothemigrationscoreof"moredifficultthanaverage."Nexttocost,supportqualitywasoftenmentionedbysurveyrespondentsasalimitation.Prospectivecustomersshouldpayattentiontothisduringaproofofconcept,inparticularoutsideBoard'scoremarketinEurope.Comparedwithlastyear,theaveragesizeofBoarddeploymentsgrewsignificantlyinbothdatavolumeaccessedandnumberofendusers.Despitethis,Boardisstillinthelowestquartileforbothdeploymentsizeanddatavolumewith348endusers,onaverage,and1.4TBofdata.ProspectiveandexistingcustomerswiththeintentiontoimplementlargedeploymentsshouldperformscalabilitytestsandcheckBoard'sreferencestoensureBoardcanhandletheirspecificrequirements.BoardispredominantlyusedforcentralizedBIusecasesandonpremisesdeploymentsinsmallercompanies,andfordepartmentaldeployments.BoardachievedthesecondhighestresponsepercentagewithrespecttoacentralizedBIplatformusecase.Itscoredthesecondlowestinenablinguserstoconductcomplextypesofanalysis(seeNote3)indicatingarathernarrowutilizationofanalyticcapabilities,withafocusonsystemsofrecordreporting.Consequently,Boardachievedanoverallmarketunderstandingscorethatwasslightlybelowaverage.

DatawatchDatawatchoffersaninteractivedatadiscoveryplatform(desktopandserver)specializinginvisuallyanalyzingstreamingandmultistructureddata.Itisbasedonacombinationoftechnologies:Monarch,amatureproductforstructuringdatafromPDFsandsemistructuredandunstructuredsourcesthatwasprimarilyusedbycustomerstomigrate,orotherwiseleverage,datainlegacyreportsandPanopticon(acquired2013),avisualbaseddatadiscoveryplatformwellsuitedforrealtimedashboardsforanalyzingstreamingtimeseriesdatainadditiontohistoricaldata.

DatawatchenteredthisMagicQuadrantforthefirsttimethisyear,intheNichePlayersquadrant.Strongscoresforcustomerexperienceandadifferentiatedproductandvisionfordatadiscoveryonrealtimeandmultistructureddatahavecontributedtoitsposition.

Strengths

Datawatchoffersinteractivedatadiscoverythatisdifferentiatedbyitssupportforanalyzingrealtimestreamingandtimeseriesdatacomingfrommessagingmiddleware,streaminginfrastructureincludingAmazonKinesis,andcomplexeventprocessing(CEP)enginesincludingTibcoStreamBase,OneTick,OneTickCEP,ThomsonReutersVelocityAnalyticsandSAPSybaseESP.Aninmemory,OLAPbasedStreamCubeisassociatedwitheachgraphicaldisplayobject.Thesystemprocessesnew



dataasitarrives,selectsthesubsetofimportantdata,recalculatestherelevantsectionsofthemodelandrefreshestheassociatedpartsofthedisplayimmediately.Inparticular,theabilitytocomparerealtimedatawithhistoricaldataisadifferentiatorfromtheotherdatadiscoveryspecialistsincludingTibcoSpotfire,whichhasalevelofintegrationwithTibcoStreamBase.CustomersreportusingtheplatformformorecomplextypesofanalysisthanwithmostothervendorsinthisMagicQuadrant.Advancedgeospatialandlocationintelligencecapabilitiesinpartcontributetousersperformingadvancedtypesofanalysis,particularlyforrealtimegeospatialanalysis.Customersreportamongthemostnarrowuseofplatformfunctionality,withafocusoninteractiveanalysis.Datawatchregisteredthehighestpercentageofcustomersusingitsplatformforinteractiveanalysis.Customersalsohaveanaboveaverageperceptionoftheiroverallcustomerexperience(seeNote3),particularlyintheareasofsupportandproductquality.UnlikeboththedatadiscoveryspecialistsandthedatadiscoverycapabilitiesofITcentricvendors,Datawatch'sselfservicedatapreparationcapabilities,whichleverageitsMonarchtechnology,canaccessandstructuresemistructuredandunstructureddatasuchasJavaScriptObjectNotation(JSON),PDFandHTMLasadatasourceforanalysis,inadditiontotraditionalandmanybigdatasources.SchedulingandalertingcapabilitiesarealsomoreextensivethanthoseavailableforTableau,butrequireadegreeofscripting.Alargepercentageofcustomersusetheproduct'ssoftwaredevelopmentkit(SDK)forembeddingworkbooksinotherapplicationsDatawatchcustomersreportthehighestincidence,at50%,ofusingtheproducteitherasanOEMorforembeddedBI(versusanaverageof27%forthisMagicQuadrant).MostoftheremainingcustomersuseDatawatchinadecentralizeddeployment.Asapubliccompany,Datawatchhasmorereadyaccesstofundingthanatypicalstartup,albeitcoupledwiththelessforgivingpressuretomeetWallStreet'sexpectations.Datawatchalsohasaseasonedmanagementteam(ofexCognosandTM1executives),whohavethusfarpositivelysteereditsplatformintegrationandgotomarketstrategytowarddifferentiationinagrowingareaofthemarket.Datawatchhasalargeinstalledbaseinthefinancialservicesmarketandisexpandingintootherverticals.ItisparticularlywellpositionedfortheemergingrequirementsaroundstreamingdatafortheInternetofThings(IoT).

Cautions

Datawatchhaslimitedawarenessinanincreasinglycrowdedmarketandhashaddifficultyindifferentiatingtheplatformagainstotherdatadiscoveryplatforms,outsideofitscorestreamingdatausecases.Moreover,Datawatchisintheprocessofbuildingitssalesforce,partnerprogramandgeographicpresence,butthesegotomarketprogramsaremorelimitedthanthoseofitsdatadiscoverycompetitors.Enhancementstotheproductandproductroadmapsinceacquisition,plusgrowingdemandaroundrequirementsfortheIoT,shouldimproveDatawatch'scompetitivepositionwithabroaderrangeofbuyers.However,customersreportabelowaveragesalesexperiencewithDatawatch.GartnerinquiriesalsosuggestalevelofdissatisfactioninthelegacyMonarchinstalledbaseasDatawatchtransitionsittothenewintegratedplatform.Datawatchisprimarilyuseddepartmentally,asadesktopproduct,withamongthesmallestaveragedeploymentsizeintermsofnumberofusersofanyvendorinthisMagicQuadrant.Whileaserverversionisavailableforbroaderdeployment,theplatform'senterprisefeaturesareaworkinprogress,particularlyinareassuchascentralizedBIadministrationandusermonitoringcapabilities,security,versioning,datalineageandimpactanalysis,andmetadatamanagement.CustomersrateDatawatchaslessintuitivethanotherdatadiscoveryspecialists,althoughtheplatformsupportsafullrangeofinteractivityfeaturesandanalystorienteddataexplorationcapabilities.Moreover,unliketheotherspecialistdatadiscoverytoolsthatareprimarilychosenforeaseofuse,theprimaryreasoncustomerschooseDatawatchisforitsfunctionalityanddataaccessandintegration.Datawatchisnotyetcloudready.Userscanconnecttocloudandbigdatasources,suchasAmazonKinesis,AmazonRedshift,CloudantandMongoDB,buttherearelimitedcapabilitiesfordeployinginthecloud.Thisisontheroadmap,however.DatawatchhasasmallerpercentageofusersdeployingtheproductonmobiledevicesthanmostothervendorsintheMagicQuadrant.ThemobilecapabilitiessupportHTML5interactivityonlynonativeapplicationsanddonotsupportcontentauthoringorofflineanalysis.Moreover,DatawatchislimitedinitssupportforITdevelopedreportsanddashboardsandtraditionalstylesofanalysis.

GoodDataGoodDataisacloudBIandanalyticsspecialist,providingacomprehensivemultitenant,cloudonlyplatformthatincludesdataintegration,afullymanageddatawarehouserepository,frontendBItoolsandpackagedapplications.Itscustomerscanalsoexpectabroadrangeofdataconnectorsnamely,tocloudbaseddatasourcessuchassocialmediaandavendorabletoworkdirectlywithbusinessusersandsupportthefullBIenvironmentwithoutmuchinvolvementfrominternalITteams.

GoodDatahasastrongpositionintheNichePlayersquadrantbecauseitwasearlytothecloudBImarketandhasgainedmarkettractioninthedeploymentofembeddedanddigitalmarketingusecasesaswellastheintegrationofsocialmediadatasources.

Strengths

GoodDataofferscustomersanendtoendbusinessanalyticsplatformasaservicesolutionfordataintegration,datawarehousingandBI,withaboveaveragescoresforbreadthofuse.Byspecializinginacloudonlysolution,GoodDataisabletofocusitseffortsonthedeliveryandsupportofatightlyintegratedofferingtosupportrapidtimetodeployment.Itreceiveshighcustomerscoresforitscohesivearchitecture,supporttimetoresolutionofproblemsandsupportexpertise.Theplatform'sstrengthsincludeclouddeployment,BIplatformadministration,embeddedBI,anddevelopmentandintegrationcapabilities.ItreceivesamongthetopscoresintheMagicQuadrantsurveyfortheOEM/embeddedusecase.GoodDataalsohasthehighestpercentageofcustomers



(manyofwhomarealsocloudbased),ofanyvendorinthisMagicQuadrant,thatareembeddingitssolution.Customerspraisethesoftwarequality,withascoreinthetopthreeforthisMagicQuadrant.Furthermore,althoughGoodDataintroducesnewfunctionalityquarterly,customerscancountonaneasymigrationprocessesaswewouldexpectfromacloudbasedsolutionwherethevendormanagesthefullplatform.GoodData'saveragereportdevelopmenttimeis3.1days,fasterthantheaverageof4.0daysforthevendorsinthisMagicQuadrant.Theproductisalsoeasiertousethantheaverage,withauserinterfaceexperiencemostlyintendedforbusinessusers.GoodDataisaleaderintheuseofsocialmediadatasources,with22%ofcustomersusingitforthatpurpose.Moreover,51%ofcustomersreporttheuseofcloudbaseddatasources(thesecondbestresultforthisMagicQuadrant),wellaheadofthethirdvendorat31%.ThisisnotsurprisingsincecustomerstendtobemoreopentocloudBIplatformswhenmostoftheirdataresidesinthecloud.GoodDataoffersacceleratorsolutionsforsocialandotherclouddatathatshouldappealtomarketingandsalesdepartments.ITteamslackingknowledgeinthearea,canalsoleverageGoodDataasapointsolutionforsocialmediaanalysis,complementingexistingBItoolsfortraditionalbusinessreporting.

Cautions

GoodDataearnedbelowaverageproductscoresforadecentralizedBIusecaseandislesswellsuitedforanalyticdashboards,businessuserdatamashups,collaborationandfreeforminteractiveexplorationthanmanyothervendorsinthisMagicQuadrant.Consistentwiththatassessment,customersrateGoodDatainthebottomfivevendorsforsupportforcomplextypesofanalysis(seeNote3)whichisnotsurprising,becauseitonlyrecentlyaddedadatadiscoveryoffering.WewouldexpecttheseresultstoimproveascustomersstartusingitsnewcomponentsAnalyticalDesignerandDataExploreraspartoftheirdatadiscoveryoffering.Approximately62%ofcustomerresponsesreportedsometypeofproblemwiththesoftware(versus49%onaverage),with20%ofcustomerscitingabsentorweakfunctionalityasaproblemwiththesoftwarealmosttwicethesurveyaverage.Again,thenewdatadiscoveryofferingcouldhelpmitigatethisissue.Despitehavingascalablearchitectureandbeingcapableofhandlingthedataofmanycustomersinitscloudenvironment,GoodDatacustomersreporthavingdeploymentswithrelativelysmallnumbersofusersanddatavolumes.Itshowsabelowaveragenumberof611usersandthesmallestaveragedatavolumesizewithjust308GBpercustomer.ProspectivecustomerswithlargedeploymentambitionsshoulduseaproofofconcepttoensurethatGoodData'splatformisabletohandletheirrequirements.

IBMIBMoffersabroadrangeofenterprisegradeBI,performancemanagementandadvancedanalyticsplatformcapabilities,complementedbyadeepservicesorganizationthatisreadytoimplementtheminsolutionsforanydomain,industryorgeography.IBMCognosisanintegratedBIplatformwithcapabilitiesforWebbasedadhocquery,reportanddashboardauthoringandconsumption,OLAP,scorecarding,productionreporting,scheduling,alerting,datadiscoveryandmobile.

IBMhasdemonstratedinnovationandhasacompellingvisionforthefuturewithWatsonAnalytics,itsnextgenerationdatadiscoverycapability,buthasfacedchallengesinthecoreBIbusinesstodeliverapositivecustomerexperienceandmeetimportantbusinessusercentricmarketrequirements.HighmarksforsalesstrategyandindustryandgeographicreachalsobolsterIBM'spositiononthisMagicQuadrant.In2015,IBMmusttranslateitsvisionintomarketmomentumandimproveitscustomerexperiencetoretainitspositionintheLeadersquadrant.

Strengths

AproductstrategyspanningBI,performancemanagementandadvancedanalyticsandinnovationaroundsmartdatadiscoveryinIBMWatsonAnalytics(madegenerallyavailableinDecember2014),contributedtoIBM'sstrongpositionforCompletenessofVision.IBMhopesWatsonAnalyticshasthepotentialtogivebusinessusersaccesstoanewuserexperiencefordatadiscovery,featuringanintegratedanalyticworkflowthatincludesselfservicedatapreparation,naturallanguagequerygenerationandexploration,andautomaticpatterndetectionandpredictiontoallowbusinessanalystsandcitizendatascientiststofindvaluableinsightsindatawithoutadvancedskills.IBMearnedastrongoverallproductscore.EnterprisefeaturessupportingcentralizeddeploymentssuchasBIplatformadministration,ITdevelopedreportsanddashboards,metadatamanagementandtraditionalstylesofanalysisinadditiontocollaboration(throughintegrationofIBMConnectionswithIBMCognos10),areplatformstrengths.IBMCognosiswellsuitedtolargedeploymentscenteredonglobalproductionreportingthatarecentrallymanagedbyIT.IBMisrankedinthetopfour(inpercentage)bycustomersreportingusingtheplatformforcentralizedBIdeployments.Itwasrankedinthetopfiveintermsoftheextentofglobaldeploymentandaveragedeploymentsize(at2,690usersversustheaverageof1,554forthisMagicQuadrant)withaboveaveragedatasizes.Morethan77%ofIBM'scustomersconsiderittobetheirBIstandard,whichranksitthirdhighest.Moreover,enterprisefeaturesforBIplatformadministration,metadata,BIplatformintegration,ITdevelopedreportsanddashboards,developmentandintegrationandtraditionalstylesofBI(adhocreportingandOLAP)areproductstrengths.IBMhastakenapositivesteptowardimprovingitssalesrelationshipwithcustomers.PricingintroducedinJuly2014hasbeensimplifiedintofewerroles,whichhasresultedinmanyusersgettingaccesstomorefunctionalityintheCognosplatformthroughexistingcontracts.

Cautions



WhileIBMCognosisembeddedandsoldinover130IBMapplications,duringthepastyearGartnerhasseenfewernewgreenfieldIBMCognospurchasesrather,itsgrowthhascomemostlyfromupgradesandauditswithmuchofthenewbusinessuserdrivenanalyticsprojectsinitsinstalledbasegoingtoTableauorQlik.ExecutionisslightlybetterthanSAPandOracle,butdespiteabroadproductportfolioIBMCognosBIisstillusedprimarilyforsystemsofrecordreportingandcustomersreportachievinglowerbusinessvaluethanmostothervendorsinthisMagicQuadrant.Narrowuse,despitebroadfunctionality,isachallengefacedbymostoftheITcentricplatformsinthisMagicQuadrant.WhileIBM'svisionisstrong,itscurrentexecutionisnot.SincetheattempttopositionitsCognosInsightplanningclientforthedatadiscoverymarketmetwithlimitedmarketadoption,IBMispursuinganewstrategyaroundIBMWatsonAnalyticstomeetemergingbusinessuserrequirements.Customerscoresformarketunderstanding(seeNote3),whichincludeeaseofuse(forconsumers,authorsandadministrators),supportforarangeofcomplextypesofanalysis,andbreadthofuseacrossanalyticscapabilities,continuetoberatedinthebottomquartileofthevendorsinthisMagicQuadrant.Moreover,IBM'scustomersplacedIBMinthebottomquartileforachievementofbusinessbenefitsfromitsBIdeploymentssimilartomostotherITcentricvendors.IBMisinvestingaggressivelyinIBMWatsonAnalytics,hopingtoreversethiscriticalcustomerperception.CustomerscontinuetoranktheIBMsalesexperienceasnearthebottom.Whilethenewpricingmodelisapositivestep,anecdotally,GartnerinquiriessuggestthatIBMcustomersarenothappywiththeirsalesrelationship.Contractnegotiationsareoftenprotractedandperceivedasinflexible,andauditingisafrequentsourceofcustomercomplaintanddissatisfactionwithIBM.Moreover,customersexpressconcernsaroundthetimeandeffortneededtomanageIBM'ssubcapacitymonitoringforProcessorValueUnit(PVU)pricinginasharedvirtualenvironment.ThishasbeenmorechallengingbecauseIBMCognosdoesnothavebuiltinlicensemonitoringcapabilities.IBMistakingstepstoaddressthiswithenhancementsinthelatestCognosBIreleasetohelpcustomersmonitortheirenvironmentsforcompliance.Customerexperience(seeNote3),whichisacombinationofratingsforproductsupport,productquality,migration/upgradedifficulty,userenablementandavailabilityofskills,isratedbyIBMs'customersasanongoingsourceofdissatisfaction.Thisisanimportantelementinacustomer'soverallviewoftheirBIvendor.IBM'sstatedintentionistoskipagenerationofdatadiscoverytoolsandmoveinto"smartdiscovery,"butitcouldtakesometimefortheproducttomatureandforcustomerstorealizeitsfullpotential.IBMhasbeenlessaggressivethansomeofitscompetitorsinpursuingacloudstrategy.IBM'sfirstpubliccloudBIoffering,IBMWatsonAnalytics,formsthecornerstoneofitsnascentcloudBIstrategy.IBMCognosBIwillbeavailablein1Q15ontheIBMSoftLayercloud.

InformationBuildersInformationBuildersisaleaderinthemarketforBIandanalyticsplatforms.ItsellsmultiplecomponentsofitsintegratedWebFOCUSBIandanalyticsplatform(AppStudio,InfoDiscovery,InfoAssist,BIPortal,Server,ActiveTechnologies,Magnify,MobileFaves,PerformanceManagementFrameworkandRStat).Inadditiontothetraditionalreportsanddashboardsforseniormanagement,WebFOCUSisfrequentlyusedbyITdeveloperstocreateanalyticapplicationsforoperationalworkersandinformationconsumersinsideandoutsidethefirewall.

InformationBuilder'spositionasaLeaderinthisMagicQuadrantisdrivenbyitspositivetrackrecordincreatingpervasiveBIsolutionsforahighvolumeofmainstreamusers,particularlyincustomerfacingscenarios.ItsWebFOCUSplatformiswellarchitectedandoffersabroadarrayoffunctionalityhowever,itsexecutionishamperedbyperpetuallymodestgrowthandcustomeradoption.Afteraslowstart,InformationBuildersmadesignificantprogressintheselfservice/datadiscoveryareawiththereleaseofInfoDiscoveryhowever,Gartnerneedstoseehowwellthisproductisadoptedduring2015.InformationBuilders'lowerthanexpectedcustomerexperiencescores(seeNote3)fromthecustomerreferencesurveypreventitfromrisinghigherintheLeadersquadrant.

Strengths

InformationBuildersclearlydifferentiatesitselfintheareaofpervasiveness.Asignificantpercentageofitsclientsdisseminateinformationanddecisionsupporttothousandsofoperationalworkers.InformationBuilders'referencecustomersreportedalmostdoubletheaverage(forthisMagicQuadrant)forsizeofdeploymentintermsofnumbersofusers.InformationBuildersearnedhighproductscoresforcentralizedandembeddedBIusecases,whereitsBIplatformadministration,developmentandintegration,ITdevelopedreportsanddashboards,metadatamanagementandmobileareplatformstrengths.BreadthoffunctionalityisanotherkeystrengthofInformationBuilders.WhileWebFOCUSisprimarilyknownforitsstronginteractivitythroughparameterizedreporting,duringthepastfewyearsInformationBuildershasmodernizedWebFOCUSwithanarrayoftechnologies,includingadhocanalysis(ActiveReports),search(Magnify),Mobile(Faves),advancedanalytics(RStat)andlocationintelligence.InformationBuildersalsooffersanumberofverticalapplicationsbasedontheplatformforindustriessuchaslawenforcement,financialservices,highereducationandhealthcare.InformationBuildersdoeshaveanenthusiasticinstalledbase,evidencedbythefactthevendorwasabletoprovidemorethantwiceasmanycustomerreferencesasanyothervendorsurveyed.DevelopersareattractedtoWebFOCUSanditsabilitytoaccessdisparatedataandapplicationssourcestocreatenotjustreportsanddashboards,buttobuildinformationapplicationswiththecommensuratesecurityandwritebackfunctionality.

Cautions

InformationBuilderswasslowtopromote,andbenefitfrom,thetrendtowardselfserviceanddatadiscovery.InfoDiscovery,releasedin2H14,isasolidfirstofferingandleveragesthevendor'snative



integrationcapabilitiesforitsdatamashupandmodelingcapability.Moreover,itsvisionforagoverneddatadiscoveryarchitecture,exemplifiedbyits"VisualizeResponsibly"campaign,isasoundstrategyandtiesinnicelytothetightlymanagedmetadatalayerofWebFOCUS.However,weneedtoseemoreadoptionofInfoDiscoverytoconsiderInformationBuildersatruedatadiscoveryvendor.InformationBuildersisratedweakerinbusinessuserorienteddatadiscovery,analyticsdashboards,freeformdataexploration,collaboration,clouddeploymentaswellasfortraditionalstylesofanalysis(specificallyOLAP).ThisisconsistentwithInformationBuilders'primaryuseforITcentralizeddeploymentsaswellasthefactthatInformationBuilders'datadiscoveryofferingisnewlyreleasedwithlimitedadoptiontodate.Overall,InformationBuilders'customerexperiencescoresarenotasstrongaswewouldexpectcomparedwithlastyearandgivenitshightouchmodelandcloserelationshipwithcustomers,theenthusiasmatitsuserconferenceandthewillingnessofthevendortosupportcustomizations.Inparticular,customersareconcernedwiththeavailabilityofskillsandtheirmoredifficultthanaveragemigrationexperience.ThemigrationratingsmakesenseasmostofthereferenceshadjustcompletedupgradingtoRelease8,whichwasamajorupgradeinarchitecture,securityandthefrontend.FutureupgradestoWebFOCUSarelikelytobelessdifficult.Moreover,givenitsfocusoncustomerfacingapplications,wewouldhaveexpectedmuchhigherscoresforachievementofbusinessvalue.Forexample,itranksasbelowaverageonthecustomerreferencescoresforcompositebusinessbenefitsachievedwiththeplatform.CustomerreferenceswhoidentifiedthemselvesasprimarilybusinessusersdidscoreInformationBuilderssignificantlyhigheronbusinessbenefitquestionsthanthereferencesprimarilyfromIThowever,theformerwereaminorityofthevendor'sreferences.InformationBuildershasbeenunabletoturnarobustproductplatformandgenerallypositivesalesexperienceintoaboveaveragemarketgrowth.Thevendorperpetuallyshowsmodestcustomeradoption,makingitunabletocaptureadominantshareofthemarket.InformationBuildershasbolstereditsindirectchannelsandimproveditsglobalpresenceasakeygrowthenabler.Thisisadelicatebalance,however,becauseindirectsaleschannelsandgeographicbreadthwillmakeitdifficultforthevendortoexecuteonitshightouchmodelbasedonawillingnesstocustomizesolutionstomeetclientrequirements.

LogiAnalyticsLogiAnalytics'BIplatformiscomposedoftwodistinctproducts,LogiInfoandLogiVision.LogiInfodeliversawiderangeoffunctionalitytypicallyusedbyITdeveloperstodeliveranalyticcontentsuchasreportsanddashboardstoendusers.LogiInfoisalsousedextensivelybyorganizationsinanOEMcapacitytoembedanalyticcontentinwebsitesandapplications,andbyenduserorganizationstoextendBIaccessexternallytocustomers,partnersandsuppliers.LogiVisionisarelativelynewdatadiscoverytool,launchedinJanuary2014,andoffersbusinessusersandanalyststheabilitytoprepareandanalyzedataandsharefindingsusingLogi'sdifferentiatedcollaborationcapabilities.Integrationbetweenthetwoproductsisa"workinprogress,"butthereisaclearroadmaptoimproveinteroperabilitybetweenLogiInfoandLogiVisionthroughthedevelopmentofacommonunderlyingdatahubandnewapplicationservicesduring2015.

WiththeintroductionofLogiVision,toaddressbusinessusers'buyingrequirementsfordatadiscovery,coupledwithaproductroadmapaimedataddressinganalyticsgovernanceconcerns,LogiisagainpositionedasaChallenger.Inadditiontocreatingtheframeworkneededtooffergoverneddatadiscoverycapabilitiesthroughtheplatform,LogihasintroducedinnovativesocialcollaborationandcrowdsourcingfunctionalityintotheLogiVisionproduct,whichcontributedtoitsimprovedproductvisionratingthisyear.

Strengths

Throughitstwoprimaryproducts,LogiInfoandLogiVision,LogideliversawiderangeofanalyticcapabilitiesatapricepointthatattractscustomerstotheplatformandoffersanalternativetosupportingseveralBIandanalytictoolstosupportdifferentusersandusecases.Morethan30%ofreferencescitedlowlicensecost,orimplementationcostandeffort,asthetopreasonsforselectingLogiitrankedinthetopquartileinsalesexperienceofallvendorsinthisMagicQuadrant.LogiAnalyticsscoreswellinproductfeaturesthatsupportcentralizedandembeddedusecasesspecifically,developmentandintegration,embeddedBI,ITdevelopedreportsanddashboards,andtraditionalstylesofanalysis.Theplatformisalsoratedhighlyforcollaborationandanalyticdashboards,indicatinggoodpotentialforLogiVisioninmeetingbusinessuserrequirements.Customerexperience(seeNote3)isaclearfocusandstrengthforLogi.Itwasratedthirdhighest(ofallthevendorsinthisMagicQuadrant)forcustomerexperiencecustomersrateditfourthoverallforsupportandfifthoverallforproductquality(twokeymetricsforcustomerexperience).Logi'shighcustomerexperiencescorewasalsodrivenbyastronguserenablementratingandbyreceivingthelowestoverallmigrationdifficultyrating.Logiiswidelyusedbyindependentsoftwarevendorsandenduserorganizationswholeveragetheplatform'sabilitytoembedcontentinwebsitesandapplicationsandtoextendthereachandaccessibilityofBIandanalyticstoabroadrangeofusers.Morethan50%ofreferencesreportusingLogi'splatforminanOEM/embeddedusecase,rankingitthirdhighest.Logihas,at28%,thefifthhighestpercentageofreferencesactivelyusingmobilityforBI,whichissignificantlyhigherthantheaverageof19%.Anadditional30%ofLogi'scustomerscitedtheirintentiontodeploymobileBIwithinthenext12months,whichvalidatesLogi'sinvestmentinmobilecapabilitieswithintheplatform.

Cautions

Logiiscurrentlybeingusedprimarilytosupportrelativelysimpleanalyticusecasessuchasreporting,dashboardsandbasicadhocanalysis,basedonthefourthlowestratingforcomplextypesofanalysis.MostcustomersarecurrentlyusingLogiInfo,whichsupportsthesetypesofusecasesadoptionofLogiVision,whichisusedformorecomplextypesofanalysis,doesnotyethavethe



sameleveloftractionandadoptioninLogi'scustomerbaseresultinginthelowscoreandrankingforcomplexityofanalysis(whichmeasureshowtheplatformisusedwithinorganizationsseeNote3).Relatedtothefirstcautionnoted,Logiisusedbyorganizationsprimarilyinsupportofcentralized/ITdeliveredBIandOEM/embeddedusecasesandisamongthelowestofallthevendorsinthisMagicQuadrantforuseindecentralizedandgoverneddatadiscoveryusecases.ThisislikelytochangeasLogiVisionmaturesasadatadiscoveryproductandisintegratedwiththeoverallplatform.TheaveragedeploymentsizeanddatavolumeswithinorganizationsthathavedeployedLogiarebothbelowtheaverageforthisMagicQuadrant.AveragedatavolumeforaLogideploymentis7.9GB,comparedwithanoverallaverageof14.2GBtheaveragedeploymentsizeforLogiis509users,comparedwithanoverallaverageof1,554.Althoughitsaveragedeploymentsizewasbelowthesurveyaverage,itshouldbenotedthatdeploymentsatreferenceorganizationsrangedfromasfewasthreeuserstoover5,000.WhileLogidoeshavelargecustomers,andistheenterprisestandardinalmost70%ofsurveyreferenceorganizations,scalabilityshouldbeevaluatedforlargercustomersconsideringLogiparticularlyinorganizationswithhigherthanaveragedatavolumes.Weakercapabilitiesincludebusinessuserdatamashup,clouddeployment,freeformexplorationandmetadatamanagement,largelydrivenbysomemissingorweaksubcriteriaidentifiedwithineachcapability.ClouddeploymentisanexamplewhereLogiperformedwellonsomesubcriteriasuchasspecialpurposeconnectorstoclouddatasourcesanddirectconnectforcloudandonpremisesdatasourcesbutisweakeronpackagedcontent,selfserviceelasticityandselfserviceadministration.ItshouldbenotedthatLogirecentlyannouncedanhourlypricingmodelforLogiVisionforAmazonWebServices(AWS)thatshouldimprovesomeoftheweakerareasofitsclouddeploymentcapabilities,particularlyaroundselfserviceelasticityandadministration.

MicrosoftTheMicrosoftBIandanalyticsproductportfoliosupportsadiverserangeofcentralizedanddecentralizedBIusecasesandanalyticneedsforitslargecustomerbase.OrganizationstypicallydeploySQLServerandSharePointtosupportITdevelopercentricdatamanagement,reportingandadministrationrequirements,whilebusinessuseroriented,selfservicedatapreparationandanalysisneedsaredeliveredbythePowerBIcomponentsoftheportfoliothroughExcel2013andOffice365.BusinessuserenablementisaclearfocusofMicrosoft'sproductroadmapandbusinessmodelevolutionasevidencedbyitsnew"freemium"PowerBIproductoffering(currentlyinpreview),whichcanbedeployedasastandalonesolutionforbusinessuserstoauthorandshareanalyticcontentwithouttheneedforExcel2013oranOffice365subscription.

Microsoft'sleadershippositionintheMagicQuadrantisprimarilydrivenbyastrongproductvisionandfutureroadmap,aswellasaclearunderstandingofthemarket'sdesireforaplatformthatcansupportsystemsofrecordrequirementsanddelivereasytousedatadiscoverycapabilities,withsupportforpromotabilityofbusinessusercontentandgovernance.PowerBIhasgainedsometraction,buthasyettogainwidespreadmarketacceptanceduetothecomplexityofonpremisesdeploymentsandtherelativelylimitedfunctionalitycurrentlydeliveredthroughtheOffice365cloudbarrierswhichMicrosoftistryingtoaddresswiththenewPowerBIofferingcurrentlyinpreviewandduetobereleasedlaterin2015.AsPowerBImaturesandcloudadoptiongrows,Microsoftispositionedtoleverageitslargecustomerbase(andcapitalizeonthealreadypervasiveuseofExcelandtheexistingSQLServerAnalysisServicesfootprintinthemarket)toexpandthebreadthanddepthofitsdeploymentsinorganizationsandincreaseitsoverallBIandanalyticsmarketshare,ifitcanincreaseitsfocusonBIsalesandmarketingandovercomecustomers'structuralbarrierstoadoption.

Strengths

OverallcostofownershipandlicensecostremainthetopreasonscustomerschooseMicrosoft(accordingtothesurvey).MicrosofthasintegratedgoodcapabilitiesintoExcelsuchasPowerQuery,PowerPivot,PowerViewandPowerMap,whichareincludedwithexistingenterpriselicenseagreements.AdditionalcloudbasedconsumptionandcollaborationcapabilitiesarecurrentlyavailableinPowerBIthroughasubscriptionbasedpricingmodelinOffice365.MicrosoftrecentlyannouncedafreemiumlicensemodelforitsnewstandalonePowerBIoffering,whichincludesPowerBIDesignerforcontentauthoring,settobeofficiallyreleasedduring2015andfeaturingafreetierforupto1GBofdatastorageperuserandaPowerBIProoptionforupto10GBavailablefor$10peruserpermonth(significantlyreducedfromthePowerBIversioncurrentlyofferedthroughanOffice365subscription).ManyorganizationsalreadyuseMicrosoftExcelextensivelyfordatamanipulationandpresentationofinformationthroughspreadsheets,whichgivesMicrosoftastrongfoundationonwhichtobuildwithPowerBIandclosethegapbetweenitandthedatadiscoveryleaders.AkeydifferentiatorforMicrosoftisitsabilitytodeliverarangeofbusinessusercapabilities,encompassingselfservicedatapreparationwithPowerQueryandPowerPivot,interactivevisualizationthroughPowerViewandPowerMapandtheabilitytosharewithSharePointandOffice365,whichfewvendorscanclaimwithoutthirdpartysupportandpartnership.PlatformscalabilityisastrengthoftheMicrosoftplatform,whichrankedhighestfordatavolumeaccessedwithanaveragedatasizeof62TB,comparedwithanoverallaverageof14.2TB.MicrosoftreferenceorganizationsalsoreportdeploymentsizeslargerthanthoseofanyothervendorinthisMagicQuadrant,withanaveragenumberofendusersof6,000comparedwithanoverallaveragedeploymentsizeof1,554.WiththereleaseofthenewstandaloneversionofPowerBI,businessuserswillhaveaccesstobuiltinconnectivitytoonpremisesSQLServerAnalysisServicescubes,whichwillalloworganizationstoleverageexistingdataassetswithouthavingtomovetoreplicateinthecloudandfurtherunlockthevalueofexistingmultidimensionaldatastructures.Microsoftproductsscoredwellinitstraditionalareasofstrength:BIadministrationanddevelopment,andintegrationandcollaboration.TheyalsoscoredhighlyonbusinessuserdatamashupanareaofinvestmentforMicrosoftwithPowerPivotandPowerQuery.ReorganizationandnewleadershipatMicrosoftappearstobepositiveforMicrosoftBI.Sincetaking



over,newCEOSatyaNadellahasmadesupportforAppleandAndroiddevices,aswellasclouddeployment,ahighpriority.

Cautions

Microsoft'sproductportfolioiscomplexandincludesmanycomponents,whichcancauseconfusionforcustomersevaluatingpurchaseoptions.ThefactthatmanyofthenewercapabilitiesthatareimportanttobuyersinthismarketrequirecurrentversionsofOffice,SQLServerandSharePointaddstothecomplexityandrepresentsabarriertoadoptionformanyorganizationsthatareonolderversionsandarenotyetwillingtobuyOffice365anddeployBIandanalyticsinthecloud.Forexample,theworkflowbetweencomponentssuchasPowerQuery,PowerViewandPowerPivotisnotyetcompletelyseamless.Moreover,theroleofSharePointdashboardsandReportingServiceshasnotbeenclearlyarticulatedReportingServicesisnotsupportedinAzure.Whileitisaworkinprogress,MicrosoftisattemptingtoaddressmanyoftheselimitationsintheforthcomingstandaloneversionofPowerBI,whichdoesnotrequireOffice2013oranOffice365subscriptionandcanaccessAnalysisServicesstructuresandcontentwithoutphysicallymovingunderlyingenterprisedatatothecloud.Microsofthadthehighestpercentageofcustomerreferencescitingabsentorweakfunctionality(forexample,nodrillthroughcapabilitiesinPowerView)asaplatformproblem.Thisisconsistentwithlastyear'sresultsandwhileMicrosoftisaddressingweaknessinmobility,analyticdashboardsandfreeforminteractiveexplorationwithPowerBI,marketawarenessandadoptionhasbeenslowtomaterializeasshownbyminimalclientinquiriessinceitslaunchinearly2014.Microsoft'ssalesmodelcontinuestobeapainpointforcustomers,whoratedMicrosoftfourthlowestforoverallsalesexperience.CustomershavehistoricallyfounditdifficulttoengagedirectlywithMicrosoftduringthesalescycle,whichwasamajorcomplaintfromITbutisanevengreaterconcernforMicrosoftasitattemptstoappealtobusinessbuyersthathavehighexpectationsofsimplifiedlicensemodelsandpurchaseoptions.MicrosofthasalargenetworkofimplementationpartnersanddevelopersthatareskilledinmostaspectsoftraditionalcentralizedBIdeployments.However,customersmayhavedifficultyfindingexternalresourceswithexperienceinthenewerPowerBIstack,whichrequiresadifferentsetofskillsandexpertisethanMicrosoft'ssweetspotofsystemsofrecord,developerfocusedBIdeployments.

MicroStrategyMicroStrategyoffersanenterprisegradeandorganicallygrownendtoendBIplatformthatiswellsuitedtolargeandcomplexsystemofrecordreportingandgoverneddatadiscoveryrequirements.IthasacompellingproductandvisionforlargescalegoverneddatadiscoveryandhasinvestedearlyincloudandmobileBIhowever,itsexecutionduringthepastyearhasbeenpoorandthecompanyisregrouping.

Executiveturnoverandtheannouncedrestructuringmayhavecontributedtoerodingthecustomerexperienceatatimewhenthecompanymustdistanceitselffromits"oldBI"brandandconvincethemarketthatithasacompellingplatformforthefuture.MicroStrategyhasmadekeyexecutivehiresandisrefocusingandrepositioningtoleverageitsdifferentiatorsintorenewedmomentumin2015.WeneedtoseeexecutionatMicroStrategyduring2015,ifitistoremainaLeaderintheMagicQuadrantinthefuture.

Strengths

MicroStrategyisanenterprisegradeplatformwithstrongvisionaroundgoverneddatadiscovery(includingforselfservicedatapreparation),andiswellsuitedtocompaniesthatneedlargescalesystemofrecordreporting,mobileanddashboards,andarenottiedtoanenterpriseapplicationstack(suchasOracleorSAP).MicroStrategycontinuestoearnstrongcompositeproductratingsfromcustomersandismostoftenchosenbecauseofitsfunctionality.ItalsorankedinthetopfivevendorsinthisMagicQuadrantasaplatformusedforITdriven,centralizedBIdeployments.Whilemostcustomersdeploytheplatformcentrally,itscoreswellacrossallfourusecases.Ithasparticularstrengthsinenterprisefeatures,suchasBIplatformadministration,internalplatformintegration,metadatamanagementandtraditionalstylesofanalysis.Itisalsoratedhighlyforanalyticdashboards,businessuserdatamashupandfreeformexplorationlargelyduetoitsinvestmentsinitsdatadiscoverycapabilities,VisualInsight.MicroStrategyremainsanindustrybenchmarkforlargeBIdeploymentsrunningontopoflargeenterprisedatawarehouses,andisoftenviewedasthevendorofchoicewhenenterpriserequirementsarecomplex.Thecompanyinvestscontinuouslyinscalabilityandperformanceaswellasbigdatarelatedenhancements(forexample,Prime,ascalablemultiterabyteinmemoryenginedevelopedwithFacebookanddirectHadoopconnectivity)foritsnativelydevelopedandlargelyintegratedportfolio.Thisenablesittosupportamongthelargestaveragedatavolumesaccessedindatarepositoriesandamongthelargestaveragenumberofusers(2,648versusanaverageof1,554).Moreover,MicroStrategyistypicallydeployedinlargerenterprisesthatconsiderittobetheirenterpriseBIstandardmoreoftenthanmostothervendors.MicroStrategyistheonlyvendorinthisMagicQuadrantwhosecustomersreportselectingitfortheirmobilecapabilitiesasatopreason51%ofcustomerseitherhavedeployedorarepilotingitformobile,comparedwithanaverageof30%overall.ThecloudhasbeenanotherareaofearlyandaggressivestrategicinvestmentforMicroStrategycomparedwithotherBIvendors,withMicroStrategyCloudcustomersprimarilyusingitforhostedprivateclouddeployments.Customersnotonlyvaluesimplificationintheiruserexperience,theyalsowantsimplificationintheirvendorrelationship.MicroStrategyhastakentheboldanddifficultstepofsimplifyingitspricing(21SKUsdowntofour)andmakingitpubliconitswebsite.PricingcomplexityhasbeenaperennialcomplaintofMicroStrategycustomers.Thischangeisanimportantstepinreversingthisperceptioninparticular,andinimprovingthecustomerexperienceingeneral.



Cautions

AchallengingyearforMicroStrategy,2014sawsalesmomentumdecline,arevolvingdoorattheexecutivelevelanddeepcutsinstaff(20%)acrosstheboard,whichhasresultedindisruptionacrossallfunctions.MicroStrategycustomersreportabelowaveragecustomerexperience,includingsupport,productquality,amoredifficultthanaveragemigrationexperience,andbelowaverageachievementofbusinessbenefitsconsistentwiththeresultsoftheotherITcentricvendors.Thecompanyisregroupingandhasmadeanumberofpositivechangestoimproveinthefuture.Itwillneedtoregainmomentumin2015toremainasignificantplayerinthemarket.MicroStrategymustovercomeabrandingprobleminthemarketanditsinstalledbase.Itcontinuestobeassociatedwith"traditionalBI,"dueinpart,perhaps,tocompetitorseffectivelypigeonholingitassucheventhoughtheproductportfolioandroadmapisfocusedonimportantrequirementsforgoverneddatadiscoveryinverylargedeployments,withadditionaldifferentiatorsaroundselfservicedatapreparation.WhiletheMicroStrategydevelopmentenvironmentisrobustandflexible,thereisasteeplearningcurveevenforseasonedreportdevelopersbuildinganylevelofanalyticcomplexityintoparameterizedreportsthatsimulateadhocanalysisandinteractivedashboardsforbusinessusers.EventhoughusabilityenhancementscontinuetobedeliveredwithMicroStrategy9.x(suchasmoreoneclickuseractions,reusabledashboardsanddashboarddesignwizards)andmoreplannedinMicroStrategy10,itscustomerscontinuetoratetheplatformasbelowaverageforeaseofusefordevelopment,easeofuseforendusers,andeaseofadministrationandimplementation.BroaderadoptionofVisualInsightshouldcontributetoresolvingtheseissuesandchangingthisassessment,butitsrelevanceisstilllowintheoveralluserbase.

OpenText(Actuate)TheOpenText(Actuate)iHub3.1platformsupportsanintegratedsuiteofreportingandanalysistools(DesignerPro,Analytics)intheBusinessIntelligenceReportingTool(BIRT)productfamily,supportingtheneedsofmostusertypesfromdeveloperstoinformationconsumersandbusinessanalysts.Inparticular,Actuateisknownfordeliveringhighlypersonalizeddatadrivenapplicationsincustomerfacingexternalusecases.IthasalsobuiltupalargepopulationofapplicationdevelopersintheEclipsecommunitytoembedActuatesoftwareintotheirapplications.

ActuateispositionedintheNichePlayerscategorybecauseitprimarilysucceedsinonedominantusecaseembeddedanalyticalapplicationsfordevelopers.Actuatehasinvestedinavisualdatadiscoveryandanalyticsoffering,BIRTAnalytics,buttheproducthasyettobewidelyadopted.Moreover,Actuate'scustomerreferencescoreshavebroughtdownitsscoresforAbilitytoExecuteandCompletenessofVision.

Strengths

Actuate'sgreateststrengthisitsabilitytodeliverdatadrivenapplicationstoahighvolumeofusers,particularlyinanembeddedusecase.Anoverwhelmingpercentageofcustomers(greaterthan90%)reportusingtheproductforstaticandparameterizedreporting.BIRTiscommonlyusedbydeveloperstoembedBIandanalyticcontentintoapplications,anditsproductscoresindicatethatthecapabilitieswithintheplatformtocreateandembedcontentarebetterthantheaverageforvendorsinthisMagicQuadrant.Duringthepastfewyears,ActuatehasmodernizedtheiHubinterface,deliveringanimproveduserexperienceandbetterintegrationacrosstheproductline.Inaddition,ActuateisfocusedontheIoTtrend,providinganewrichsourceofdataforinformationcentricapplications.TheOpenTextacquisitionislargelyviewedasapositivemovegivingthevendormorestability,andaccesstomoreresources,salespeopleandchannelpartnersalthoughitalsointroducessomeuncertaintythatActuatewillcontinueasadedicatedanalyticsgroupinsideOpenText.

Cautions

Actuatewasrankedatthebottomof24vendorsoncustomerexperience(seeNote3)andsalesexperienceand20outof24formarketunderstanding(whichisacompositeofeaseofuse,complexityofanalysisandbreadthofuse).Italsoscoredhighestinmigrationdifficulty.ThenetresultofallthesescoresistopushActuatedeeperintotheNichePlayersquadrant.Actuate'scorestrengthprovidingcustomerfacinganalyticapplicationstohighvolumesofusers,willcomeunderincreasingcompetitivepressureasmorevendorsmovetothecloudandareabletoprovidesimilaruserscalabilitytohighuservolumesoutsidethefirewall.WhileActuatehasabroadproductfamilycoveringboththeinformationdeliveryneedsofconsumersandtheanalysisneedsofpowerusers,itisoverwhelminglyusedfortheformerwithweakerproductscoresforthelatter.BIRTAnalyticsisacapableoffering,butActuateneedstoshowgreatercustomeradoptiontobeviewedasacomprehensiveBIandanalyticsplatform.ThedownsideoftheOpenTextacquisitionisthecomplexityofcraftingacogentmarketingmessagearoundsuchadiverseproductsetonethatspanstwomajormarketsinenterprisecontentmanagementandBIandanalyticsplatforms.ItwasalreadychallengingenoughforActuatetoweaveastorythatcombinedtheBIRTContentServices(Xenos)withBIRTAnalytics(Quiterian)andiHub.

OracleOraclehasaverylargeanddiversesetofcapabilitiesprovidedbythemanyproductsinitsBIandanalyticsportfolio,whichismostoftenusedforlargescaleenterprisedeployments.Itsproductsrangefromhardwaretosoftwareplatforms,andincludeOracleBIFoundationSuite,morethan80prebuiltBIapplications,OracleEndecaInformationDiscoveryandOracleEssbasemostofwhichareavailableontheOracleExalyticsEngineeredSystem.TheproductportfolioalsoincludesOracleTransactionalBusinessIntelligence,afamilyofembeddedSaaSanalyticsofferingsintheOracleFusionSaaSapplicationsa



newlyannouncedandgenerallyavailable(September2014)BICloudServiceandOracleBigDataDiscovery(nowgenerallyavailable).AdditionalBIandanalyticsrelatedproducts(butnotincludedinthisMagicQuadrantevaluation)includeOracleDatabase12c,HyperionFinancialManagement,OracleAdvancedAnalytics,HyperionPlanning,andHyperionProfitabilityandCostManagement,andthefamilyofOracleBigDataproducts.

Oracle'spositionontheMagicQuadrantreflectsarelativelyfragmentedproductvisioncomparedwithotherlargevendors,andlowscoresintheGartnercustomersatisfactionsurvey.Oraclemusttranslateitsinvestmentsinimprovedusability,businessuserdrivendatadiscoveryandcloudintohigherbusinessvalueforcustomersandanimprovedcustomerexperiencetobecompetitiveacrossitswiderangeofproductsandcompetitorsandtoremainintheLeadersquadrantinthefuture.

Strengths

Oracleisprimarilyusedforlargescale,centrallyprovisionedsystemsofrecordreporting,mostoftenincompaniesthatalsodeployOracleEBusinessSuite.IntegrationwithenterpriseapplicationsistheprimaryreasonforselectingOracle,accordingtocustomerreferences.Consistentwiththisdominantuse,Oracleearnedaboveaverageproductscoresfordevelopmentandintegrationandtraditionalstylesofanalysis.IthasalsodemonstratedvisionaroundmultistructuredandbigdataanalyticswithOracleEndeca,asearchbaseddatadiscoveryplatform,andthenewlyreleasedBigDataDiscoveryplatformforHadoop.Oracle'spackagedbusinessdomainandindustryanalyticsapplicationsforOracleEBusinessSuite,PeopleSoft,SiebelandJDEdwards,areatopbuyingdriverandgivecustomersawaytodeployOracleBImorequickly,leveragingOracleapplicationsandotherdata.Theanalyticapplicationsincludeprebuiltextraction,transformationandloading(ETL)usingOracleDataIntegrator,physicalstarschemamodels,prebuiltreportsanddashboardsforarangeoffunctionalareasincludingfinancialmanagement,CRMandsupplychain,aswellasindustryverticalsincludingretailandtelecommunications.OracleBIhasgainedadoptioninthecloudthroughembeddedanalyticsinitsFusionSaaSapplicationsinthehumancapitalmanagement,CRMandERPdomains.OracleTransactionalBusinessIntelligence(OTBI)hasintroducedOracleBItogrowingnumbersoflineofbusinessusersinHR,sales,serviceandmarketing,andfinancefunctions.OraclenowalsooffersawarehousebasedversioncalledOTBIEnterprise,whichofferspackagedanalyticcapabilitiesinthecloudsimilartoitsonpremisesBIapplications.Oraclehasasubstantialsalesandmarketingfootprint,and

Date post:	07-Jan-2016
Category:	Documents
Upload:	raj
View:	31 times
Download:	0 times

Magic Quadrant for Business Intelligence and Analytics Platforms

Documents