#oowBR Big Data Strategy: colocando os dados no caminho certo

BigDataStrategy:PuttingDataontheRightTrackSES11934,October28,2015ChrisLynskey,VicePresident,ProductManagementMarcosArancibia,ProductManager,OracleDataScienceLuizGondim, HeadofInnovation,AmbevBrunoGurgel,ManagerofAnalytics&Insights,Ambev

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Data &Analytics

Technology4


Data &Analytics

OracleBig DataPlatform

Focusonwhatmattersmost

5

SimplifyDataManagement

InnovateDataLab

IntegrateDataFactory

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OracleBigDataCloudServicesBigDataPlatform

FastData

DataFactory

DataLab

DataManagement


SamePlatformYouUseinYourDatacenter100%UpwardCompatibilitywithOn-PremisesEnablesEasyCoexistenceandMigration

OracleCloud

CoExistence andMigration

Same Architecture

Same Standards

Same Products

Transparentlymoveworkloadsbetweenon-premisesandpubliccloud

PrivateCloud


Ourdatamanagementplatformhasanalytics

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BigData

DataMining

AnalyticalSQL LogAnalytics

Graph

RAnalytics

BigDataDiscovery

Spatial

StreamAnalytics


DataManagementServices


QueryallyourData:Hadoop,NoSQL&Relational

ExtendingDataManagement

NoSQL

{MapReduce} {APIs} SQLOracleBigDataSQLSQL RESTPython GraphRnode.js Java


ExtremePerformanceinspiredbyExadataSmartScantechnology

OracleBigDataSQL:Fast polyglotdataaccess

OffloadQuerytoExadata StorageServers

Smalldatasubsetquicklyreturned

OffloadQuerytoDataNodes

SQL

datasubset

SQL

SimplyAccesstoAllData

Hadoop,NoSQL&Relational

NoApplicationChangesRequired


UsestandardOracleSecurityoverHadoop&NoSQL• Grant&RevokePrivileges• RedactData• ApplyVirtualPrivateDatabase

• ProvidesFine-grainAccessControl

ExtendOracleDataManagementSecurityUsingOracleBigDataSQLwithOracleDBSecurity

Redacteddatasubset

SQL

JSONdataunconvertedin Hadoop

JSON

CustomerdatainOracleDB

DBMS_REDACT.ADD_POLICY(object_schema => 'txadp_hive_01',object_name => 'customer_address_ext',column_name => 'ca_street_name',policy_name => 'customer_address_redaction',function_type => DBMS_REDACT.RANDOM,expression => 'SYS_CONTEXT(''SYS_SESSION_ROLES'',

''REDACTION_TESTER'')=''TRUE''');



BigDataLabsFuelEnterpriseInnovation

identifynewcustomersegments

predictnewproductsuccess

detectfraudulentactivity

bettermanagerisk

createinnovativeproductsandservices

optimizepricing

KeyPrincipalsoftheDataLab

collectsnewandexistingdataasrawmaterials

providesbroadaccesstoatrustedcommunity

enablesagileexperimentation,abilitytofailfast

offersa‘doanything’sandboxenvironment

DifficulttoUnlockDataLabforMoreUsers

DataLabiscurrentlytherealmoftheelusive

DataScientist

RawtoolsandcomplexlanguagesimpairBusiness

AnalystandSMEproductivity

?

CitizenDataScientistsNeedSomethingNew

18

quicklytransformandenrichittomake

itbetter

unlockbigdataforanyonetodiscoverandsharenewvalue

Asingleintuitiveandvisualuserinterface,to...

findandexplorebigdatatounderstandits

potential

find explore transform discover

OracleBigDataDiscovery

find explore transform discover

Find

• AccessaninteractivecatalogofallinformationintheDataLab

• Familiarsearchandguidednavigationforeaseofuse

• Seedatasetsummaries,userannotationandrecommendations

• Self-servicedataloadforfilesanddatabases

Explore

• Visualizeallattributesbytype

• Sortattributesbyinformationpotentialandinformationgain

• Assessattributestatistics,dataqualityandoutliers

• Usescratchpadtouncovercorrelationsbetweenattributes

Transform

• Intuitive,userdrivendatawrangling

• Extensivelibraryofpowerfuldatatransformationsandenrichments

• Previewresults,undo,commitandreplaytransforms

• TestonsampledatathenapplytofulldatasetusingApacheSpark

Discover

• Joinandblenddatafordeeperperspectives

• Composeprojectpagesviadraganddrop

• Usepowerfulsearchandguidednavigationtoaskquestions

• Seenewpatternsinrich,interactivedatavisualizations

24

OracleBigDataAdvancedAnalyticsIncludedinBigDataCloudService

OracleRforBigData• Scalable,distributedanalyticsforBigData

• Statistics&AdvancedMatrixComputation

• DistributedMachineLearningModelsonSpark

OracleSpatialAnalysis• Proximityandcontainmentanalysis

• LocationDataEnrichment• Vectorandrasterdatapreparation

OracleGraphAnalysis• PropertyGraphs• SocialMediarelationships• Churnanalysis• Cyber-Security• Objectrecognition

unlocking thepowerofINNOVATIONWITH

ANALYTICS

June 28th, 2016

CurrentLocation:LAN– SaoPaulo

FunctionalArea:IBS– DirectorofInnovation&Analytics

Timewiththecompany:15years

ABInbevCareerSummary

LAN– SalesManagerSaoPaulo,DistrictManagerJoaoPessoa&SPOeste,RegionalSoft

DrinkManagerSaoPaulo,TechSalesNationalManager,IBS– HeadofInnovation,IBS–

Sales&MKTCorporateManager

GHQ– Global SalesProcesses&TechnologyDirector

Luiz H. GondimDirector of Innovation & Analytics

AMBEVEBITDA (R$ MM) and EBITDA Margin Evolution

10%

15%

20%

25%

30%

35%

40%

45%

50%

55%

0

5

10

15

20

25

Billion

s

Series2

Series3

22,210

24%

48%

CND

660

Source: Company reports.

R$ 22.2 bn EBITDA

47.5% EBITDA Margin

2015 RESULTS

EBITDA R$

% consolidated EBITDA

Brazil

14,101 MM

64%

2,057 MM

9%

Canada

Latin America

South

4,878 MM

22%

Central America

and Caribbean

1,174 MM

5%

AMBEVToday

Source: Company, 2015 figures

2015 RESULTSEBITDA R$% consolidated EBITDA

Brazil14,101 MM64%


BRAZILBiggest growth opportunity


BRAZIL: SOLID STRUCTURAL DRIVERS + NEW CONSUMER TRENDSSignificant growth opportunities ahead of us

PositiveDemographics

Per CapitaGrowth

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

AMBEV WELL POSITIONED TO CAPTURE THESE GROWTH

OPPORTUNITIES

Strong brands

Local execution,

global expertise

Leading

market shareTalented and

motivated people

Unparalleled

distribution footprint

Complete portfolio

mainstream to high end

Nimble and fast to react

Connectivity and processing powerBillions of people connected on the go, unprecedented processing power, storage, and knowledge accessTechnology

& information revolution

Transformation of the human condition, fundamentally changing the way we live, work, and relate to one another

Disruptive innovations Emerging breakthroughs across all fields (AI, Robotics, IoT, 3D printing, nanotech, quantum computing, etc.)

Amplifying building blocksTechnologies amplify each other in a fusion of technologies across physical, digital & biological worlds

New business modelsEmergence of new business models disrupt incumbents through reshaping production, consumption and delivery models

Accelerating changesChanges are historic in size, speed and scope. Speed of change increases exponentially

The technology & information revolution is creating new challenges and new opportunities for companies to disrupt and innovate

BeingSocial

BeingSocial

INNOVATION

Innovation

“Thenextdecadeofmarketingwillbetightlylinkedwithcreatingarelevantcustomerexperienceacrosschannelsanddeviceswherepeopleengage.Asaresult,wewilllearntothinkwellbeyondbuyingaudiencesandshiftourfocustomarketingtopeople.”

James Green, MediaPost, August 6th, 2015

ConsumerGoldenRecord

CONSUMER 1 TO 1 VISION: FROM CHANNELS AND AUDIENCES TO DEVICES AND PEOPLEPOINTS

35

By 2018, there will be nearly four billion global

Internet users (about 52% of the world’s

population), up from 2.5 billion in 2013

By 2018, there will be 21 billion networked devices and connections globally, up from 12 billion in 2013

Globally, the average fixed broadband

connection speed will increase 2.6-fold, from 16 Mbps in 2013 to 42

Mbps by 2018

Globally, IP video will represent 79% of all

traffic by 2018, up from 66% in 2013

36

DEVICES AND PEOPLE: THE CONNECTED CONSUMER SURROUNDED BY EXPLODING DEVICE LANDSCAPE

EXPERIMENTSAMPLES

BG

37

CurrentLocation:LAN– SaoPaulo

FunctionalArea:IBS–ManagerofAnalytics&Insights

Timewiththecompany:4years

ABInbevCareerSummary

LAN– IBSSpecialistforCRM,IBSSpecialistforTechMarketing,ITSpecialist- Innovations

Bruno GurgelManager of Analytics & Insights

39

Actual Scenario

Ambev

POC|Retailer

Shoppers

Proposal

Ambev

POC|Retailer

Shoppers

Shopper Info

PurchaseExperience

TradicionalActivation

2

3

1

Activation Models

THE INDUSTRY DATA CHALLENGE

40

LEARNINGPOINTS

41

SOLUTIONDESIGN

Descoberta

42

SOLUTIONCOMPONENTS

43

SOLUTIONCOMPONENTS

44

ExternalSources

ModelingProcess

MIRAAPI(QueuesService)

IoT

OracleCloudStorage

SchedulerScriptsLiveSubmits

Sources(SitesandForms )

HDFS

SOLUTIONCOMPONENTS

Process

Modeling Process

HDFSOriginal Stores

DataOnboarding

DataOrganizationDataSetsModeling

TimeStampsMore…

Data1st EnrichmentBetweenSources

DataEnrichmentExternalSources

HiveTables

DataCleansing(Harmonization)

DataSwampLayer

DataLakeLayer

SOLUTIONCOMPONENTS

Process

SaaS PaaS

46

WHY ORACLE

TTM OpenSource

1. CreateandExecuteExperimentsalignedtostrategicbusinessneeds2. Transformsuccessfulexperimentsintoscalable,Globalcapabilities

3. Relationshipbuilding,community

4. ChampionInnovationCulture

5. GeneratetruevaluetoourConsumer

6. Talentacquisition

IBS INNOVATION & ANALYTICS RESPONSIBILITIES

47

THANKYOUBG

48