sprint's data modernization journey

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1 © Hortonworks Inc.2011 – 2017. All Rights Reserved SPRINT’S DATA MODERNIZATION JOURNEY November 30, 2017

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Page 1: Sprint's Data Modernization Journey

1 ©HortonworksInc.2011–2017.AllRightsReserved

SPRINT’SDATAMODERNIZATIONJOURNEYNovember30,2017

Page 2: Sprint's Data Modernization Journey

2 ©HortonworksInc.2011–2017.AllRightsReserved2 ©HortonworksInc.2011–2017.AllRightsReserved

Page 3: Sprint's Data Modernization Journey

3©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.

10.1.2016Version 1.1DSB

Sprint’s Data Modernization JourneyPutting a foundational framework for empowering AnalyticsNovember 30, 2017

Page 4: Sprint's Data Modernization Journey

4©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.

10.1.2016Version 1.1DSB

About Sprint

Sprintisoneofthelargesttelecomservices providers intheUSwithbusinessoperationsacrossmultiplecountriesofferingitsresidentialandcommercial

customersavarietyofcommunicationandmediaservices.

MultipleCountries-US,Mexico,Caribbean

Wireless,Internet,Prepaid,Wired

ServiceOfferings-B2B,B2C

60MSubscriberBase

Page 5: Sprint's Data Modernization Journey

5©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.

10.1.2016Version 1.1DSB

Our Modernization Demand Drivers

ParadigmShiftinCustomerUsage– DatanowoutpacesVoiceusageenormously

DataExplosion– Moredataoriginatingfromall

directionsandnewtypes

IncreasedAppetiteforAnalytics– CostSavings,

BetterCustomerExperience

Wewereexperiencing aparadigmshiftinhowthedatalandscapewasevolvingandourfocuswasonhowwecanharnessthewealthofdata to

betterserveourcustomersandimproveourbusinessoperations.

Page 6: Sprint's Data Modernization Journey

6©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.

10.1.2016Version 1.1DSB

Our Modernization Goals

Ourdatamodernizationgoalswerefocusedonbusiness imperatives inordertoprovidearicher,personalized customerexperience, improvebusiness

operationsandgainbettervisibility intoourCustomers.

Frauddetection– Expandeddatasetsandimprovedata

availability

Improvevisibilitytogainbetterinsightsandmaketimelybusinessdecisions

360DegreeViewofCustomer– betterwaystoserveandreducechurn

Page 7: Sprint's Data Modernization Journey

7©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.

10.1.2016Version 1.1DSB

Iterative Approach to Modernization

Wetookaniterativeapproach towardsmodernization inordertoensureourjourneyhadmeaningfulandachievable targets.

Buildfoundationalframeworkwithanevolvingandscalable

architecture

Reducedataredundancybyconsolidatingdatapoints

andimprovedataavailability

Spendlesstimeonlift&transformandmoreon

Analytics

CoreFoundation DataConsolidation EmpowerAnalytics

Page 8: Sprint's Data Modernization Journey

8©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.

10.1.2016Version 1.1DSB

Tips for Modernization

• Analysis and scoping• Big data is not just volume but also more compute and analytics• Scalable hardware which can be improved for more compute when required• Network throughputs or improve bandwidth for large data volumes

• Prepare and plan • Technology and Business Teams Adoption• Plan real-time architecture ahead instead of rearchitecting later

• Communicate and manage expectations

Thinkbig,startsmall,movefast.

Page 9: Sprint's Data Modernization Journey
Page 10: Sprint's Data Modernization Journey

10©2017DiyottaInc.AllRightsReserved.

Webinar:DataModernizationPlanBig,StartSmallandMoveFast

November30,2017

©2017DiyottaInc.AllRightsReserved.

Page 11: Sprint's Data Modernization Journey

What’sDrivingModernizationForYou?

ExpandedDataSets

Gettingaccesstothedatawhichwasnotaccessiblebefore

BetterComputing

Transformingdatainthemostoptimizedcomputeengine

DataAvailability

Gettingaccesstoactionabledataatthe

righttimetoact

AdvancedAnalytics

Gaininginsightsforbetterbusiness

decisionsinreal-time

CloudStrategy

Cloudbasedsources,computeincloudordatalakeincloud

Page 12: Sprint's Data Modernization Journey

ModernDataArchitectures

Moredatasources

Moreprocessingzones

Moredownstreamorconsumerapplications

Emergingtechnologies

Multipledevelopmentpatterns

Page 13: Sprint's Data Modernization Journey

WhatMattersforDataModernization

• TimetoValue• DataLatency• DataConsumption• Cost

Technology• Performance• Scalability• Maintainability• EvolvingTechnologiesEnablement

Business

Page 14: Sprint's Data Modernization Journey

ModernDataStrategyConsiderations

InvestinbuildingacoreArchitecturalFramework

withmoderndatasolutions

Leverageexistingteamstowardsbuildingin-houseexpertisefor

moderntechnologies

Augmentteamswithdomainexpertisetoleverageindustryperspective

Page 15: Sprint's Data Modernization Journey

DiyottaEnablesModernDataIntegration

ProvisiondataforAdvancedAnalytics

Acquiredatafromalldatapointsinbatchor

real-time

Chooseanycomputezonesfordataprocessing

Server-lessETLarchitecturewithnobottlenecks

Page 16: Sprint's Data Modernization Journey

Resources

DiyottaSolutionPage:http://www.diyotta.com/solutions

ModernDataIntegrationWhitepaper:https://www.diyotta.com/modern-data-integration-white-paper/

RequestDemo:http://www.diyotta.com/demo

DiyottaTestDrive:http://www.diyotta.com/try

Page 17: Sprint's Data Modernization Journey

PietLoubserVPProductandSolutionsMarketingHortonworks

Page 18: Sprint's Data Modernization Journey

18 ©HortonworksInc.2011–2017.AllRightsReserved

TheNewWayofBusinessIsFueledByConnectedData

• ConnectedCustomers,Vehicles,Devices

• Sociallycrowd-sourcedrequirements

• Digitaldesignandanalysis

• Digitalprototypesandtests(simulations)

• ConnectedFactories,Sensors,Devices

• Human-roboticinteraction

• 3D-printingondemand

• ConnectedTrucks,Inventory

• Location,traffic,weather-awaredistribution

• Real-timeinventoryvisibility

• Dynamicrerouting

• ConnectedCustomers,Devices

• Omni- channeldemandsensing

• Real-TimeRecommendations

• ConnectedAssets• Remoteservicemonitoring&delivery

• Predictivemaintenance

• OTAUpdates

Development Manufacturing Distribution Marketing/Sales Service

Page 19: Sprint's Data Modernization Journey

19 ©HortonworksInc.2011–2017.AllRightsReserved

ModernDataArchitecture

Telemetry–ConnectedDevices

Time–SeriesHistorian

MachineLearning

C LOUD Sensors,SCADA,

ControlSystems

EdgeAnalytics

ExceptionsthatDrivePredictiveMaintenance

360ViewofOperations,Equipment

FailureAnalytics,etc.

DeepHistoricalAnalysis

DATA C E N T E R

StreamAnalytics

Cyber&Threat Data

Page 20: Sprint's Data Modernization Journey

20 ©HortonworksInc.2011–2016.AllRightsReserved

ManyorganizationsstruggletounderstandthedifferencebetweenBigDataandBigBI

BigBusinessIntelligencevs.BigData

BigBI DATA BigData

§ Sameanalysisasbefore, justmoredata

§ Batchorwarehouse-typeprocessing

§ Informative,butnot reallyactionable

§ Joiningdatasetsneverbeforejoined, askingquestionsneverbeforeasked

§ Real-timeornearreal-time,leading topredictive/persuasive/preventive

§ Ability toextractthevalueofdataandquickly translateintoaction– ”DataAgility”

§ Action-oriented, driving“ActionattheSpeedofInsight”ManyapplytraditionalreportingmethodstoBigData&Advanced

Analyticsresultinginmissedopportunitiesandlimitedfinancialreturn

Page 21: Sprint's Data Modernization Journey

21 ©HortonworksInc.2011– 2017. AllRightsReserved

Page 22: Sprint's Data Modernization Journey

22 ©HortonworksInc.2011– 2017. AllRightsReserved

EDWOptimization patterns:3UseCases

• ActiveArchiving

• ETLOffloading

• DataEnrichment

ANAL

YTICS

DataMarts

BusinessAnalytics

Visualization&Dashboards

DATASYSTEMS

SystemsofRecord

RDBMS

ERP

CRM

Other

Page 23: Sprint's Data Modernization Journey

23 ©HortonworksInc.2011– 2017. AllRightsReserved

EDWPlusHortonworksDataPlatform(poweredbyApacheHadoop)OptimizeandReduceCosts

Archive Cold Data away from EDW• MovecoldorrarelyuseddatatoHadoop

asactivearchive• Storemoreofyourdatalonger,cheaper• Greaterhistoricalanalysis

Offload costly ETL process• FreeyourEDWtoperformhigh-valuefunctionslike

analytics&reporting,notETL

• UseHadoopforadvancedormassive-scaleETL/ELT

ANAL

YTICS

DATASYSTEMS

DataMarts

BusinessAnalytics

Visualization&Dashboards

SystemsofRecord

RDBMS

ERP

CRM

Other

ELT

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

N

ColdData,DeeperArchive&NewSources

EnterpriseDataWarehouse

Hot

DataScience

OLAPonHadoop

Page 24: Sprint's Data Modernization Journey

24 ©HortonworksInc.2011– 2017. AllRightsReserved

EDWPlusHortonworksDataPlatformandHortonworksDataFlowLandandEnrichmoredatatorespondfastertonewbusinessrequests

Archive Cold Data away from EDW• MovecoldorrarelyuseddatatoHadoop

asactivearchive• Storemoreofyourdatalonger,cheaper• Greaterhistoricalanalysis

Offload costly ETL process• FreeyourEDWtoperformhigh-valuefunctionslike

analytics&reporting,notETL• UseHadoopforadvancedormassive-scaleETL/ELT

Land & Enrich more data to create more value-add analytics

• UseHadooptoingestnewdatasources,suchaswebandmachinedatafornewanalyticalcontextfromunstructuredandsemi-structuredsources

• Createananalyticalsandbox foradvanceddatascience

ANAL

YTICS

DATASYSTEMS

DataMarts

BusinessAnalytics

Visualization&Dashboards

SystemsofRecord

RDBMS

ERP

CRM

Other

ELT

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

°

N

ColdData,DeeperArchive&NewSources

EnterpriseDataWarehouse

Hot

DataScience

OLAPonHadoop

Clickstream Web&Social Geolocation Sensor&Machine

ServerLogs

Unstructured

NEW

SOUR

CES

Ingest Stream Events

Page 25: Sprint's Data Modernization Journey

25 ©HortonworksInc.2011–2016.AllRightsReserved

AdvantagesofLeveragingtheHortonworksSolutions

DeeperandBroaderDataSets

CompleteDataGovernance&Security

RichandOpenAnalyticTools

Non-structuredandStructureddata

LowerTotalCostofOwnership

Page 26: Sprint's Data Modernization Journey

26 ©HortonworksInc.2011–2016.AllRightsReserved

M A X I M U M C O M M U N I T Y I N N O V A T I O N

T H E I N N O V A T I O N A D V A N T A G E

P R O P R I E T A R Y H A D O O P

T I M E

INN

OV

AT

ION

Innovationhappensbestnotinisolationbutincollaboration

OPENCOMMUNITY

OurFoundingBelief

Page 27: Sprint's Data Modernization Journey

27 ©HortonworksInc.2011–2016.AllRightsReserved

M A X I M U M C O M M U N I T Y I N N O V A T I O N

T H E I N N O V A T I O N A D V A N T A G E

P R O P R I E T A R Y H A D O O P

T I M E

INN

OV

AT

ION

Innovationhappensbestnotinisolationbutincollaboration

OPENCOMMUNITY

OurFoundingBelief

UnmatchedEconomicsEnablecosteffectivedata-centerandcloudarchitectures

MinimalVendorandIntegrationRiskspreventsvendorlock-inandspeedsecosystemadoptionofODPi-compliantcore

Page 28: Sprint's Data Modernization Journey

28 ©HortonworksInc.2011–2017.AllRightsReserved

ThankYou