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

3

ValueDrivers

Sensors/RTAnalytics

EffectiveCustomerEngagement

DigitalTransformation

2016Revenues

YoYGrowth

FasterData BetterDataNewData

Opportunities

4

SUPPLIERSCUSTOMERS

CLOUD

SENSORS

PREMISE

5

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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SentimentAnalysis

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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

13©2015 Talend Inc

Demo

14

Build (simple)model

15

Recommendation engine

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Recommandationresult

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

21©2015 Talend Inc

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