GSMA：移动大数据解决方案报告（英文版）

MobileBigData

Solutionsfora

BetterFuture

Copyright©2019GSMAssociation

TheGSMArepresentstheinterestsofmobileoperators

worldwide,unitingmorethan750operatorswithalmost

400companiesinthebroadermobileecosystem,

includinghandsetanddevicemakers,softwarecompanies,

equipmentprovidersandinternetcompanies,aswellas

organisationsinadjacentindustrysectors.TheGSMAalso

producestheindustry-leadingMWCeventsheldannuallyin

Barcelona,LosAngelesandShanghai,aswellastheMobile

360Seriesofregionalconferences.

Formoreinformation,pleasevisittheGSMAcorporate

websiteat

FollowtheGSMAonTwitter:@GSMA

NotetoReader

ThisReporthasbeenpreparedbyPricewaterhouseCoopers

Australia(PwC)inourcapacityasconsultantstoGSMA.The

contentofthisreporthasbeenpreparedrelyinguponpublicly

availablematerial,discussionswithindustryexpertsand

stakeholders,andmaterialprovidedbyGSMA.PwCisnotliable

fortheaccuracyofthisreportwhenusedorrelieduponbyathird

party.PwCacceptsnoresponsibilityforerrorsintheinformation

sourcedorprovidednortheeffectofanysucherrorsonour

analysis,suggestionsorreport.Thereportisbasedonprimary

marketresearchandanalysisconductedbyPwCbetweenMarch

andJuly2019.

Contents

EXECUTIVESUMMARY2

MAXIMISINGSOCIALIMPACT8

MBDhasthepotentialtomakeadifferencetosociety8

7MobileBigDataPrinciplesforSocialGood10

AWORLDOFOPPORTUNITY

14

Theme:Cities,InfrastructureandEconomicGrowth

16

Theme:ClimateChangeandEnvironment

18

Theme:ManagingDisasters

20

Theme:HealthandEducation

22

Theme:CitizenInclusion

24

NEXTSTEPS

26

THEGSMABIGDATAFORSOCIALGOODINITIATIVE

28

TheGSMABigDataforSocialGoodInitiativeacceleratingtheUnitedNationsSustainableDevelopmentGoals

28

APPENDICES30

Appendix1:Methodology30

Appendix2:Notestoglobalpotentialimpactheadlines35

MobileBigDataSolutionsforaBetterFuture

Executive

Summary

MobilebigdataoffersanopportunitytocreatewidespreadsocialimpactinlinewiththeUnitedNationsSustainableDevelopmentGoals.Governmentsanddevelopmentagenciesareseekingnewwaystoimprovehowtheydesign,implementandmonitorprojectsthroughharnessingmoreaccurate,timelyandaccessibleinformation.Theproliferationofmobilenetworkscombinedwithnewcapabilitiesinleveraging“mobilebigdata”(MBD)presentsagenerationalopportunitytoaddressthisproblemsinceMBDsolutionsalreadygeneraterichandtimelyinsightsthatcannowbeharnessedtodrivesocialimpact.1

ThisreporthighlightstheworldofopportunitythatMBDoffersforsocialimpact,givingvisibilitytoMBD’spotentialthroughcaseillustrations,highlightingtheprinciplesthatapplytousingMBDforsocialgood,offeringaframeworkforshowcasingMBD’sbenefitstousersonthegroundandoutliningacalltoaction.PotentialimpactcanonlyberealisedthroughinvestmentandinnovationtoharnessMBD’sbenefits,developingpracticesingovernmentanddevelopmentagenciestoadoptMBDinto

projects,andprotocolstoutiliseMBDeffectively,

ethicallyandresponsibly.Thisreportillustratesthe

potentialreturnsandunderlinesthecriticalrole

MBDmustplayinattainingtheUNSustainable

DevelopmentGoals(SDG)by2030.MBDforSocial

GoodbuildsonthesignificantimpactofMBD

poweredapplicationsandservicesusedbymillions

ofmobilesubscribersalreadyonadailybasis.

1.MBDsolutionsrefertonetworktraffic,usageandcommunicationsdata(frompeople,sensorsandconnecteddevices),combinedwithwiderdatasetsandharnessedthroughbigdataanalytics,artificialintelligenceandmachinelearning.

2ExecutiveSummary

MobileBigDataSolutionsforaBetterFuture

Over150millionpeopleacrossadvancedandemergingcountriescouldbepositivelyimpactedbythebeneficialimpactsofMBDsolutionsonprojectswithinthenextfiveyears.2

Globally,thepotentialforMBDtocreatesocialimpactacrossthetopicscoveredbytheSDGsisimmense,andsupportstheneedforinvestmentinMBDrelatedcapabilitiesandimplementations.CaseanalysisdocumentedinthisreportshowshowMBDhasthepotential,conservatively,totouchatleast3percentoftheworld’spopulationthroughimprovingpublicprojecteffectiveness.ThecasesthatfollowillustratefiveinstancesofthemanywaysinwhichMBDcouldmakeadifferencebyasearlyas2025.Detailsareprovidedinthemainbodyofthereportandappendices.

60millionpeopleacrossthe41mostaffectedcountriescouldhavebetteraccesstohealthcareduetomoreinformedinfrastructureplanningviaMBDsolutionsthattargethealthfacilitydeploymentplanning.

Worldwide,1.5billionpeoplelackaccesstoessentialhealthcaretoday.MBDsolutionssupportingprojectsinthemostaffectedcountriescouldreducethislackofaccessby

4percent.Mobilelocationdataprovidesuniqueinsightsonpopulationdensityandseasonalmigrationpatterns,andthiscanbeusedtoincreasetheeffectivenessofwhereplannerslocatehealthcentresoroptimisehealthcentredeploymentandreleasefundsforotherpriorities.In41countriesmainlyinSouthAsiaandSub-SaharanAfrica,MBDsolutionscouldresultin60millionmorepeopleaccessinghealthcareby2025.3Asanalternative,greaterprecisioninlocatinghealthcentrescouldotherwiseresultinreleasingupto

US$100millioninfundstofocusonotherpriorities.

120,000additionallivesacrosstheworld’smostpopulatedcitiescouldbesavedasaresultofbetter-informedmeasurestolimitairpollution,resultinginlowercongestionandbettertransportplanning.

AccordingtotheWorldHealthOrganisation,over90percentoftheworld’spopulationliveinareasthatfallbelowminimumairqualitystandards,oneoftheprincipalcausesofprematuredeath.4CityauthoritiescoulddrawuponMBDsolutionsusinginsightsfromaggregatedandanonymisedcallingpatterns,SMSandphonetowerdatatoreducemotortrafficcongestioninhighlypollutedareas,aswellastoenrichthequalityoflong-termtransportplanning.Across15oftheworld’smostpopulatedcitieswhichhaveairpollutionlevelssignificantlyexceedingWHOguidelines,MBDsolutionscouldresultin120,000fewerdeathsfromairpollutionoverthenextfiveyears.5

2.MBDinterventionsacrosstheSDGthemesexaminedshowthepotentialofagreaterthan3percentimpactonprojecteffectivenesstoimpactaffectedpopulations.Assumingthattheprojectsimplementedundertheframeworkthemestouch5billionpopulation(i.e.approximately70percentofworldpopulation),thisimpliesthatMBD-enabledinterventionsmayimpactthelivesofsome150mpeople.

3.Afghanistan,Angola,Bangladesh,Benin,Bhutan,BosniaandHerzegovina,BurkinaFaso,Burundi,Cambodia,Cameroon,CentralAfricanRepublic,Ethiopia,Gabon,Ghana,Guatemala,Guinea,Guinea-Bissau,Haiti,India,Indonesia,Kenya,Lesotho,Liberia,Malawi,Mali,Mauritania,Namibia,Nepal,Niger,Nigeria,Pakistan,PapuaNewGuinea,Philippines,Samoa,Senegal,SolomonIslands,Togo,Uganda,Vanuatu,Zambia,andZimbabwe.

4.9outof10peopleworldwidebreathepollutedair,butmorecountriesaretakingaction(WHO,2018).Access:

/news-room/detail/02-05-2018-9-out-of-10-people-worldwide-breathe-

polluted-air-but-more-countries-are-taking-action

5.Dhaka,Shanghai,Mumbai,Baghdad,Yangon,Lagos,Karachi,SãoPaolo,Lima,Riyadh,Omdurman,Madrid,Bangkok,Istanbul,andHoChiMinhCity.

ExecutiveSumamry3

MobileBigDataSolutionsforaBetterFuture

By2025over25,000additionallivescouldbesavedfromnaturaldisastersinmajorat-riskcountries,asaresultofMBD-enabledsolutionstoaidquickerevacuationfromdangerousareas,alsosavingmultiplesmorefrominjuryandUS$1.9billionofmovableassetsfromdamage.

Naturaldisastersresultindevastatingimpactonhumanlives,andoverthepast20years,therehavebeen1.3milliondeathsfromnaturaldisasters.6MBDsolutionsusinglocationdatafrommobilesubscribersandconnecteddevices(suchasvehicles),combinedwithtrafficandweatherreportingdatacanbeusedtobetteridentifypopulationsatrisk,deployrescueworkersmorepreciselytoareasofneed,andclearescaperoutesfaster.Across

55countriesincludingChina,theUSandJapan,police,ambulance,fireandrescueandevacuationteamscouldreducemortalitiesfromnaturaldisastersbyanadditional7percent,aswellassafeguardcitizensfrominjuryandsavemovableassetssuchasvehiclesandpersonalpossessionsfromdamage.7

CommunicablediseasescouldbesignificantlyreducedfromspreadingbytargetinglocationsatriskofexposurethroughMBDsolutionstounderstandpopulationmovements.Thiscouldresultinsome650,000fewercasesoftuberculosisaloneinthenextfiveyears.

Communicablediseasessuchastuberculosis,denguefever,cholera,hepatitisBandmalariaclaimmillionsoflivesannually.Therehavebeenover450millioncasesofthesediseasesestimatedannuallyinrecentyears.8,9,10,11,12Toreducedeathsfromcommunicablediseases,locationdatafromcohortsofmobilesubscriberscouldbeusedtomorepreciselyidentifygeographicareasathighriskofinfectiousspread.InthemostsusceptiblecountriesacrossAsiaandAfrica,targetedprevention,diagnosisandtreatmentusingMBDcouldreduceanadditional650,000casesoftuberculosisaloneoverfiveyears,equivalenttoareductionofover1percent.13,14

70millionmoreadultscouldtakeupfinancialservicesacrossthe58countriesinAfrica,AsiaandLatinAmericawhichhaveover40percentofadultsunbanked,usingMBDsolutionstotargetgroupstoraiseawareness,trustandconfidenceindigitalfinancialservices.

Therearealmost60countrieswith40percentormoreunbankedadultpopulationtoday,mainlyinAfrica,AsiaandLatinAmerica.15Byanalysingmobilenetworkdatatobetterunderstandtheneedsoftheunbanked,widespreadinformationcampaignstoenhancepublicawareness,trustandconfidenceinthebenefitsofdigitalfinancialservicescouldresultin70millionmoreadultsusingsuchservicesinthenextfiveyears,resultinginafurther8percentreductioninunbankedpopulation.16

6.NaturalDisasters(OurWorldinData,2018).Access:

/natural-disasters

7.Afghanistan,Algeria,Angola,Bangladesh,Benin,Brazil,BurkinaFaso,Cambodia,Cameroon,Chile,China,Colombia,CostaRica,DominicanRepublic,Ecuador,ElSalvador,Ethiopia,Ghana,Guatemala,Haiti,Honduras,India,Indonesia,Iran,Italy,Japan,Kenya,Madagascar,Malaysia,Mali,Mexico,Morocco,Mozambique,Myanmar,Netherlands,Nicaragua,Niger,Nigeria,Pakistan,PapuaNewGuinea,Peru,Philippines,Senegal,SouthAfrica,SriLanka,Sudan,Thailand,Turkey,Uganda,UnitedKingdom,UnitedStatesofAmerica,Uzbekistan,Venezuela,VietnamandZimbabwe..

8.Tuberculosis(WHO,2018).Access:

/news-room/fact-sheets/detail/tuberculosis

.

9.Dengueandseveredengue(WHO,2019).Access:

/news-room/fact-sheets/detail/dengue-and-severe-dengue

10.Cholera(WHO,2019).Access:

/news-room/fact-sheets/detail/cholera

11.HepatitisB(WHO,2019).Access:

/news-room/fact-sheets/detail/hepatitis-b

12.Malaria(WHO,2019).Access:

/news-room/fact-sheets/detail/malaria

13.Afghanistan,Angola,Bangladesh,Bhutan,Bolivia,Botswana,Burundi,Cambodia,Cameroon,CentralAfricanRepublic,Chad,Ethiopia,Gabon,Ghana,Guinea,Guinea-Bissau,Haiti,India,Indonesia,Kenya,Lesotho,Liberia,Madagascar,Malawi,Malaysia,Mauritania,Moldova,Mongolia,Morocco,Mozambique,Myanmar,Namibia,Nepal,Niger,Nigeria,Pakistan,PapuaNewGuinea,Peru,Philippines,Senegal,SierraLeone,SouthAfrica,Tanzania,Thailand,Uganda,Vietnam,Zambia,andZimbabwe.

14.Therewere8.1millioncasesoftuberculosisacrossourtargetcountriesinthelastreportedyear.GloballyTBincidenceisfallingatabout2percentperyear.Thereforethereare35.3millioncasesacross5years.Thisrepresentsanimprovementof1.84percentasaresultofMBDintervention(650,000/35,300,000=1.84percent).

15.Argentina,Armenia,Azerbaijan,Bangladesh,Benin,BosniaandHerzegovina,Botswana,BurkinaFaso,Cambodia,Cameroon,CentralAfricanRepublic,Chad,Colombia,DominicanRepublic,Ecuador,ElSalvador,Ethiopia,Ghana,Guatemala,Guinea,Haiti,Honduras,Indonesia,Jordan,Kazakhstan,Lebanon,Lesotho,Liberia,Madagascar,Malawi,Mali,Mauritania,Mexico,Moldova,Morocco,Mozambique,Myanmar,Nepal,Niger,Nigeria,Pakistan,Panama,Paraguay,Peru,Philippines,Romania,Rwanda,Senegal,SierraLeone,Tajikistan,Tanzania,Togo,Tunisia,Uganda,Uzbekistan,Vietnam,Zambia,andZimbabwe.

16.Theheadlineisdrawnfromapplyingeachreferencecountryto58countrieswhichrepresentsacut-offrateofallcountrieswithanunbankedpopulationof40percentormoreofadults(thisrepresentsapresentfigureofsome889munbankedadultsacrossthesecountries).

4ExecutiveSummary

SUB-THEMESPRIORITYTHEMES

Source:PwC

MobileBigDataSolutionsforaBetterFuture

MBDimpactscanbebothdirectandindirect,underliningfurthertheneedforcollaborationtorealisethebenefits.TheillustrativeexamplesabovehighlightthatMBDcanhaveadirectimpactonoutcomesthatcreatesocialimpact,forexamplewhereusingMBDtoimprovetheprecisionofhealthcentrelocation.TheexamplesalsoindicatethatMBDcanhaveindirectimpact,forexample,toinformpolicymakersondesigningmeasurestocontrolorlimitairpollutionincities.RealisingindirectanddirectMBDimpactstocreate

socialimpactwillrequiredevelopingnewwaysofworkinganddifferentcollaborationmodelsbetweenmobilenetworkoperators(MNOs)andgovernmentagencies,aswellasworkflowredesignandcapabilitydevelopment.

TheGSMAhasbeenworkingwithPwCtodevelopafirst-of-a-kindframeworktoassesshowMBDcanmakeadifferencetosociety.TheframeworkconsistsofthemeswhichlinktotheUNSDGsandoffersaprofoundopportunitytotapMBDtoupliftprojecteffectivenessby:

•enablingtimelier,moretargetedandcost-effectiveprojectintervention,withimpactonawiderangeofprojectsacrossthethemescoveredbytheUNSDGs;

•justifyinginvestmentinMBD-relatedcapabilitiesandimplementationsbyestimatingimpactonacountry-by-countrybasisandaggregatingsuchimpactstodeterminepotentialglobalimpact;

•promotinginclusionofcitizenswhomayberemote,whosemovementsmaynotbewellunderstood,orwhomightnotbecoveredsufficiently-throughtraditionalprojectplanning;

•impactingeffectivenessatallpointsoftheprojectcycle,fromidentificationtoplanning,implementationandmonitoring;

•stimulatinginnovationinproblemsolving,astherichnessandversatilityofMBDcreatesnewinsightsandtriggersnovelapproachestoframingandaddressingproblems.

•upliftingallnationssinceMBDwillimpacttopicssuchasnaturaldisastermanagementandurbanpollutioncontrol,matterswhichimpactadvancedaswellasemergingcountries;and

•usingmobiletechnologytoaddressalong-termpublicprojectproblemethicallyinaccordancewithaccepteddatausestandardsandprotocols.

Theframework,illustratedinFigure1,isarranged

intofivethemeswhichrepresentpolicypriority

areas,eachsupportedbyacalculationenginethat

assessespotentialMBDimpacts.Theframework

issupportedbydataavailablefromanemerging

bodyofresearchintoMBDinterventions,based

onresponsibleandtransparentuseofmobile

networkdatacompliantwithusageprinciples

andregulations.

Figure1

MobileBigDataImpactAssessmentFramework

ClimateChangeandEnvironment

Air

Pollution

Climate

Migration

Safe

Water

Managing

Disasters

Emergency

Response

Disaster

Displacement

DisasterReconstruction

Healthand

Education

Infectious

Disease

School

Connectivity

Ambulance

Services

Cities,InfrastructureandEconomicGrowth

HealthFacility

Deployment

Electricity

Access

Public

Transport

Roadsand

Highways

CitizenInclusion

FinancialServices

CrimePrevention

PovertyReduction

FoodSecurity

ExecutiveSumamry5

MobileBigDataSolutionsforaBetterFuture

RealisingthepotentialofMBDrequiresimplementationbyaglobalcohortofpractitioners

MBDforsocialimpactgoestotheheartoftoday’spressingneedforgovernmentsandinternationaldevelopmentagenciestoenhancetheeffectivenessofpublicinitiativeswhichusescarceandtightlybudgetedresources.LeveragingMBDalsopresentsanimmediateopportunitytostakeholdersunderpressuretoattaintheUNSDGtargetsfor2030.

6ExecutiveSummary

organisations

MobileBigDataSolutionsforaBetterFuture

Realisingthispotentialplacesacalltoactionuponstakeholderstoadoptchangeatalocalandgloballevel,throughthefollowingsteps:

encouragecollaboration

Securecommitmentand

betweenpublicorganisations,civilsociety,non-governmentalorganizations(NGO),mobilenetworkoperatorsandstakeholderstoworktogetherandunderstandhowMBDsolutionsandcapabilitiescanhelpsolveproblems,savelives,enhanceprojectoutcomesandreducecost.ThiswillinvolvesecuringcommitmentstoMBDadoption,aswellasidentifyingchallengesandbarrierstouptakefortheuseofMBDtocreatesocialimpact,bothdirectlyandindirectlyasoutlinedintheillustrativecasesabove.

processesinimplementing

Investinandrefineendtoend

spanningprojectidentification,designandexecution,sothatMBDsolutionsresultinintegratinginsightsandcreatingmeasurableimpacts.ThiswillinvolveidentifyingchangeinitiativesingovernmentagenciesanddevelopmentorganisationstoadoptanduseMBDsolutions,investinginskillsandorganisationdevelopment,aswellasmeasuringhowMBDwillcontributetoattainingtheUNSDGgoalsfor2030.

DesignMBDsolutionsforscale

toenablecountriesandorganisationstomovequicklyfrombeingstimulatedbyinspiringexamplesofsocialimpact,toachievingwidespreadscalethroughrepeatableimplementationindifferentandlocalisedenvironmentsandcircumstances.Thiswillinvolveimplementingagenciesandmobilenetworkoperatorsworkingwithotherstobuildsustainablesolutionsandscaleimpact.

andframeworks

Adoptprivacyandethicspractices

tocontinuetopromoteresponsibleuseofdataforgeneratingsocialimpactinpublicprojects.

Buildsustainablemodels

forsolutiondevelopmentandscaling,so

governments,developmentagencies,execution

partners,mobilenetworkoperatorsandotherICT

companiescanworktogethertoimplementMBD

solutionswhicharesustainableoveralongperiod

oftimeandaresupportedbybusinessmodelsthat

encouragecontinuedinvestmentandinnovation

byallpartiesinvolved.

Sincemuchofthecoremobileinfrastructureandconnectivityrequirementsareinplace,governmentsandmobilenetworkoperatorscanworktogetherandwithwiderstakeholderstofocusonhowMBDshouldbeusedformaximumimpact,andthesolutioncreationrequiredtoenablethis.ThisalsoprovidesMNOsanopportunitytodevelopandapplytheircapabilitiesinmobiledataanalyticstobettersupportdemandforMBDinterventionsforsocialimpact.Basedonacollaborativeapproach,thereturnsonusingMBDcanbeexpectedtobehigh,combiningwidespreadhumanandsocialimpactwithbettervalue-for-money,projecttransparencyandpublicpolicyeffectiveness.

Maximisingsocialimpact7

MobileBigDataSolutionsforaBetterFuture

Maximising

socialimpact

MBDhasthepotentialtomakeadifferencetosociety

Governmentsanddevelopmentagenciesareconstantlyseekingnewwaystoimprovehowtheydesign,implementandmonitorprojectsthroughharnessingmoreaccurate,timelyandaccessibledatatoimproveprojecteffectiveness.Movingfromprojectdesigntoexecutioncantakeseveralyears,andbythetimeexecutionisunderwaytheproblemstatementoriginallyidentifiedmayhaveevolvedsignificantly.Similarly,ingovernmentinterventionssuchasemergencyresponsetoanaturaldisasterorahealthepidemic,effectiveoutcomesarealsodependentonthetimeliness,accuracyandlegitimacyofinformation.

TheproliferationofmobilenetworkscombinedwiththeadventofbigdatacreatesanopportunityforgovernmentsanddevelopmentagenciestoaddressthisproblemsinceMBDsolutionscangeneratericherandtimelierinsightsthatcandriveprojectandsocialimpact.MBDsolutionsrefertonetworktraffic,usageandcommunicationsdata(frompeople,sensorsandconnecteddevices),combinedwithwiderdatasets,(suchaspublicdatafromgovernmentagencies,privatedatathirdparties,andtraditionaldatafromsurveys),harnessedthroughbigdataanalytics,artificialintelligenceandmachinelearning.

8Maximisingsocialimpact

MobileBigDataSolutionsforaBetterFuture

Globally,thepotentialforMBDtocreatesocialimpactacrossthetopicscoveredbytheSDGsisimmense.InitialcaseanalysisdocumentedinthisreportindicatesMBDhasthepotentialtotouchatleast3percentoftheworld’spopulationthroughimprovingpublicprojecteffectiveness.Ifthisisachieved,thenover150millionpeopleacrossadvancedandemergingcountriescouldbepositivelyimpactedbythebenefitsofMBDsolutionsbyenhancingprojecteffectiveness.17

Largevolumesofnetworkdataarecreatedinmobilenetworksasaresultofthedailyfunctionsofprovidingnetworkconnectivityanddeliveringcommunicationservices.Thisincludesinformationonuserlocation,socialnetworks,profiledata,usageandspend.MNOsprocessingthisdataareaccountableforupholdingrelevantdataprotectionandtelecommunicationslaws,andshouldalsoconsideralignmentwithprivacyprinciples,suchastheGSMAMobilePrivacyPrinciples.18Insome

cases,dependingonrelevantlaws,MBDmaybe

pseudonymisedbytheMNOtogleaninsights

inawaythatminimisesprivacyrisks.19Further,

anonymisingandaggregatingMBDalsopreserves

privacywhilealsoprovidingvaluableinsightona

widevarietyofissuessuchaspopulationmovement

anddensityanddemographicinformationsuchas

ageandgender,addingvaluablelayersofinsightto

guideprojectdecision-making.

17.MBDinterventionsacrossthethemesexaminedshowthepotentialofagreaterthan3percentimpactonprojecteffectivenesstoimpactaffectedpopulations.

18.TheGSMAworkswithgovernments,regulatorsandthewidermobileindustrytopromotetransparencyandchoiceandtoencourageresponsibleprivacygovernancepractices,forexamplethroughtheGSMAPrivacyPrinciples.Formoreinformation,pleaserefertoourPrivacyresources:/publicpolicy/consumer-affairs/privacy

19.Pseudonymiseddataisdatathathasbeenprocessedinsuchamannerthatthepersonaldatacannolongerbeattributedtoaspecificsubjectwithouttheuseofadditionalinformation.Fordatatobetreatedaspseudonymous,thatadditionalinformationmustbekeptseparatelyandsubjecttotechnicalandorganisationalmeasurestoensurethatthepersonaldataisnotattributabletoaperson.

Maximisingsocialimpact9

MobileBigDataSolutionsforaBetterFuture

7MobileBigDataPrinciplesforSocialGood

ApplyingMBDforsocialgoodfollowssevencoreprinciples,illustratedinFigure2andexplainedbelow:

Source:PwC

Figure2

Coverage

Digital

Uniqueness

BigData

Principlesfor

SocialGood

Consistency

Authenticity

Timeliness

Responsibility

10Maximisingsocialimpact

Digital

Mobilenetworkscollectrawoperationaldataacrossmultiplefieldsonaminute-by-minutebasis,foruptobillionsofconnectionsspanninghandsetsandconnecteddevices(suchasIoTdevices)whichcanthenbequality-checked,treatedandprocessedforfurtherusewithotherdatasets.Datacollectionbynetworkoperatorscan,therefore,bereliable,thoroughandrepeatable,providinganopportunitytoassimilateandprocesssuchdataintomeaningfulanalyticstoinfluenceprojectimpact.

Consistency

Whilstmobilenetworksareuniquelyconfiguredanddesigned,mostnetworkshavethecapabilitytoreportsimilartypesofoperationaldataandnetworkinformation.ThismeansthatMBDfields,withthenecessarytreatmenttoharmonisedatacollectedondifferentnetworks,canbemoreconsistentacrossnationstatescomparedtotraditionallycollecteddata,suchthatMBDhasthepotentialtocreateinsightsfordiscerningcommonpatternswhichcanhelpscaleimpactsworldwide.

MobileBigDataSolutionsforaBetterFuture

Coverage

Mobilenetworkcoveragenowextendstonearlythreequartersoftheworld,duetoreach5.8billionhumanconnectionsby2025,representing71percentofglobalpopulation.20Thismeanspublicprojectswhichdrawuponmobileoperationaldatahaveahighchanceofcoveringmostoftheglobalpopulationaddressedviapublicprojects.

Uniqueness

Duetocoverageandtimeliness,analysisofMBDs