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1©2016 Talend Inc
DelightyourCustomerswithBigDataMikeHirt,VPEngineering@mike_hirt22nd September2016,BigDataExpo
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By2018,80%ofB2Cand60%ofB2BEnterpriseswilloverhaul their"DigitalFrontDoor"tosupport1,000–10,000 timesmore customersandcustomertouchpoints
IDCFutureScape:WorldwideITIndustry2016Top10Predictions
AccordingtoIDC
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ValueDrivers
Sensors/RTAnalytics
EffectiveCustomerEngagement
DigitalTransformation
2016Revenues
YoYGrowth
FasterData BetterDataNewData
Opportunities
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TopChallengesforData-DrivenCompanies
Real-Time
• Not able to seize opportunities or stop threats as they occur
• Data does not move fast enough – using day-old or week-old information to make decisions
• Difficult to make changes to IT systems and slow to implement business requests
• IT systems are rigid and not flexible
Agility
• As your business scales, IT has difficulty keeping up
• Challenges ramping up big data skillsets
Productivity Connectivity
• Data is trapped in silos and not shared with the systems and people making decisions, lackof self-servicecapabilities across theorganization
• Data types are expanding – especially with sensor data
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WhytheNeedforCustomer360°?
Increase Revenue&CompetitiveEdge
• SeamlesscustomerexperienceviaOmniChannel
• Deliversuperiorcustomerexperienceatthepointofsale/service
• Real-timecustomerengagement• Customersacquisition,retention&
monetization• Marketingcampaigneffectiveness• Accurate,targetedcross-sell/up-sell• Products&servicesinnovation
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Domino’sCustomer360° atDomino’s
Knoweachmemberofthehousehold
Send smarter promotions & proactively
suggest orders
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Enhanced360° CustomerViewUsingBigData
“We’rebecomingmoreofadigitale-commerceoperationratherthanatraditionalquickservicerestaurantbusiness”
9(Revenue Growth)
DataIntegration
Master DataManagement
DataQuality
Big Data
ApplicationIntegration
Hadoop 2.0
Spark & Cloud
Our mission: enable the data driven enterprise
The most advanced Big Data integration platform
• 10X faster development
• One solution for batch & streaming
• Deploy machine learning in minutes
Talend: A History of InnovationData
Preparation
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BigDataWithoutCoding
TalendBigDataSandboxPre-packagedVMwithreal-lifeusecases
• Sentimentsanalysis
• Real-timerecommendationforreal-timecustomerengagement
• Real-timeanalytics
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Real-TimeRecommendation
Streaming
Batch
Query
Transform
Cleanse
Govern
Transform
Cleanse
Govern
RecommendationEngineSparkStreaming/Kafka
Spark
NoSQL
HistoricalClickStream &DemographicData
LiveClickStream
LiveRecommendations
SpeedLayer
BatchLayer
17Benefit:TurnIoT dataintoreal-timedecisionsusingoneproduct.
z NoSQLFastMessaging,High-scaleIngestion,DataProcessing
Real-TimeAnalyticsUsing Sensors/SmartDevices
AMQP
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WhyTalendforBigData?
• Unifiedplatform,enterprisegradeandpredictablepricing(nodatatax)
• 900+components&connectors(100+forSpark)+communitycontribution
• TruesupportforBigData&IoTscenarios(withBatch&Streaming+MachineLearning)
• RootsinOpenSource,insyncwiththeBigDataecosystem
• Futureproofarchitecture-1clickupgradefromMapReducetoSpark
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RecognizedasaLeaderinGartnerMQforDataIntegrationTools
MagicQuadrantfortheDataIntegrationToolsMarkA.Beyer,EricThoo,Ehtisham Zaidi,RickGreenwaldAugust2016
ThisgraphicwaspublishedbyGartner,Inc.aspartofalargerresearchdocumentandshouldbeevaluatedinthecontextoftheentiredocument.TheGartnerdocumentisavailableuponrequestfromhttp://gtnr.it/2b6jTyW.Gartnerdoesnotendorseanyvendor,productorservicedepictedinitsresearchpublications,anddoesnotadvisetechnologyuserstoselectonlythosevendorswiththehighestratingsorotherdesignation.GartnerresearchpublicationsconsistoftheopinionsofGartner'sresearchorganizationandshouldnotbeconstruedasstatementsoffact.Gartnerdisclaimsallwarranties,expressedorimplied,withrespecttothisresearch,includinganywarrantiesofmerchantabilityorfitnessforaparticularpurpose.
AccordingtoGartner,Inc.“Thebiggestchangesinthemarketfrom2015aretheincreaseddemandfordatavirtualization,thegrowinguseofdataintegrationtoolstocombine"datalakes"withexistingintegrationsolutions,andtheoverallexpectationthatdataintegrationwillbecomecloud- andon-premises-agnostic.”
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Mobilelabswithsensorsmeasuresoilelementsandrecommendtherightamountsoffertilizerstooptimizecropyieldsandreducecosts.
Helpingsmallfarmerssendtheirkidstoschool