CON10054_Masood-CON10054_OpenWorld SF2015 CSP Location Data Monetization

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    CON1005C!" #ocation $ata

    %oneti&ationHow Communications Service Providers canGenerating New Revenues from Data Capital

    Aali %asood!enior $irector, 'ig $ata "rod(ct %ar)eting * +% !trategy

    Cheng -ian -hor$irector, Co(nications nd(stry !ol(tions

    !rini Alavala"rincipal, 'ig $ata +% !trategy

    Octoer 2, 2015Oracle Condential 34estricted

    Copyright © 2015, Oracle and/or its afliates. All rights reserved. |

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    !a6e aror !tateent he preceding is intended to o(tline o(r general prod(ct direintended 6or in6oration p(rposes only, and ay not e incointo any contract. t is not a coitent to deliver any ator 6(nctionality, and sho(ld not e relied (pon in a)ing p(rdecisions. he developent, release, and tiing o6 any 6eat

    6(nctionality descried 6or Oracle7s prod(cts reains at the discretion o6 Oracle.

    Oracle Condential 34estricted

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    Agenda

    • ntrod(ction• $ata %oneti&ation9 A C!" "erspective

    • o: C!" $ata can e %oneti&ed

    • 'ig $ata "lat6or

    • $eo• Concl(sion

    Oracle Condential 34estricted

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    ntrod(ction

    Oracle Condential 3

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     he 4ise O6 $ata Capital

    1.$ata is no: a )ind o6

    2.Copanies * organi&a(st e;ec(te ne: str

    to copete

    8.

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     hree "rinciples o6 Data Capital

    PLATFR!S p"est #alue

    DATA$cation 6%ver&t'ing

    $AA creates DATA

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    $iverse $ata !ets in Co(nications

     ransactions

    (nformationArc'itecturesToda&)Decisions *asedon data*asedata

    "ig Data)

    Decisions*ased onall &ourdata

    =ideo and ages

    %achine>+enerated !ocial $ata

    $oc(ents

    !ession $ata

    4ecords?!$4s@

    Call $ata

    4ecords?C$4s@

    $= / !et op 'o; $ata

    !ignallingNet:or) #ogs

    $eep "ac)et nspection ?$"@

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    #oad and store massive volumeso6 ne grained activity data 6or

    -collect now. e/amine laterBanalysis

    82D o6 c(stoerse;periencecall drops Eastern o

    'ig $ata Analytics Capailities that C!"sE;ploiting

    %ore than:ith C"E padvised tothese, a lalogged a nho(rsB

    Analyse unstructured text logs to

    discover sentiment, themes and trends, 

    and extract signal from noise

    Continuously extract high volume

    streaming events to drive real-time

    monitoring, decisioning and actions

    %onitorintie, :ithevents pr

    G ll(stra

    his aHo H(nction is2p aonaged 20>80percentagdata (sers

    Monetize CSP data to generate new

    revenues

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    $ata %oneti&ation9 A elco

    "erspective

    Oracle Condential 3

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    • Call * $ata Isagen6o

    • App $o:nloads *(sage

    • +eo>positioning

    • 'illing 4ecords

    • Net:or)"er6orance

    A elco7s $ata "otential

    #ocation $ata!ervice

    Application$evelopent

    oot 6all Analyt

    Ne: !tore #oca

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    1. !(scrier #ocat

    2. !ervice and Acco

    !egentation $

    8. Net:or) !ervice

    . 'ro:sing Catego

    5. C(stoer =ie:in

    J. 4etail oot6all n6

    K. "rod(ct (ndling

    !ales

    . C(stoer ehav

    sentient

    Oracle Condential 3

    E;aples o6 DATA CAP(TAL in Co(n

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    • (mproved customer pro$lingand segmentation

    • (mproved mar0eting andcampaign conversion

    • Reduced C'urn

    • Timel& 1ers

    • Low2*alance Top2+p

    • (nternet "andwidt' "oost

    • 3i$ 4oad

    • New Handset Detect

    • New Location Detect

    • Aggregated , Anon&m

    • Footfall Anal&tics• A6nit& , (nterest , "e

    • (nternet Pro$le

    • Smart Cit& Applicatio7Tourist,#isitors. !o*Patterns. Pu*lic Safe

    Oracle Condential 34estricted

    nternal vs E;ternal %oneti&ation

    (nternal!oneti5ation

    %/ternal!oneti5ation• (ndividuall& Targeted

    • Real Time 1ers

    • Real Time Advertisem

    • Location *ased 1er

    • S'op at9

    • "u& a co1ee at9

    • "u& a Rec'arge 1er

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    gnore "rivacy Considerations at yo(r "e

    %ar)eting

    !ales

    Operations

    #egal

     esM

     esM

     esM

     esM

    N

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    $ata "rivacy Considerations

    • 4eg(lations vary y co(ntry / region

    • CreepinessB actor

    • Aggregation o6 data

     – n soe reg(latory &ones, yo( can trac) locations o6 s(si6 there are ore than ; individ(als in a given region.

    • Contract(al Opt>in / Opt>o(t – elco7s in the I!, I- and other co(ntries have incorporat

     *C7s the right to (se s(scrier data in anonyi&ed, ag6or.

    • $ata odels need to incorporate s(pport 6or opt>in

    Oracle Condential 34estricted

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     op Ises o6 #ocation nsights

    Oracle Condential 34estricted

    Coparison / 'encha

    Copare trafc in one loanother location ?sae or copetitor@

     ransportation / n6rastr(ct(re"lanning

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    "rod(cti&ing the "rocess 9 %oneti&ation

    • he (siness case 6or data oneti&ation (st e H(stied

    val(e chain, y leveraging the sae data oneti&ation plaacross diLerent (se cases.

    • he sae plat6or and insights 6or internal oneti&ation c6or e;ternal oneti&ation

    • $ata !egentation  One

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    o: C!" $ata can e %oneti&

    Oracle Condential 3

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    Advanced !oneti5ation *& providing (nformation As a

    • Anonyi&e and classi6yand interest into categonet:or) data coineddeographics and serv

    • %oneti&e ar)eting in6oagencies, rands and chto help etter target c(

    ost relevant ads.

    • %ost oile advertising today is asedon atch and pray. Channel partners andagencies are loo)ing 6or etter :ays toengage c(stoers and reoveg(ess:or)

    • C!"7s have e;tensive in6oration onc(stoer location and (sage allo:ing to

    e classied and leveraged y randsand agencies

    C'allenges , pportunities Solution

    !ar0eting (nsig'ts As a Service

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    Advanced !oneti5ation *& providing (nformation As a

    • ntegrate across a host identied against a speparental consent.

    • $eliver access to in6orintegration to p(licly aservices 6or s(scrier access and afnity to ch

    and parental onitoring

    • 1>2 years old (sers spend the ostao(nt o6 tie on sartphone aongstall age gro(ps n a onth ?8K ho(rs Jonths@ o6 :hich social edia (sedoinates app tie.

    • #iited access to (se o6 child7s socialinterests leaves parental concerns to a all

    tie high.

    pportunities Solution

    Parental !onitoring As a Service

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    (mprove Store perations ;P( and Customer %ngagem

    •$eliver coercially esite in6oration ased oand insights

    • n6erred presence and dindivid(al onsite allo:s store layo(t and contenost s(ited 6or iprove

    engageent and intern

    • Correlate deographic in6oration :ithretail store ehavior to identi6y etterretail engageent

    • Enale store o6 the 6(t(re 6(nctionality:ith in store presence in6oration, ettertargeting visitors and in net:or)s(scriers

    pportunities Solution

    Retail Footfall Anal&sis

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    •$eliver coercially eP $eographic in6oranet:or) data and insigh

    • $eliver val(ale insight#ocation P C(stoer inCI!O%E4 EQ"E4ENCEA$$E$ !E4=CE!

    • #OCAON $AA %ONERAON• n6oration service oLering aps and locationsoverlaid :ith 6oot6all and trafc, to enterprises?e.g. 4etailers@ or "(lic !ector ?e.g. to(risoard@

    • #everage %O'#E and #OCAON $AA todeterine, atched :ith deographic

    • Aggregated, anonyi&ed data• E;pose data via an online portal or as a :e

    service A"

    • CI!O%E4 P #OCAON $AA%ONERAON• ined grained ig data ao(t oile internet and

    app (sage as an in6oration service oLered toenterprises

    • App/:e (sage atched to location *deographics

    • Aggregated, anonyi&ed data :hen (sed inenter rise conte;t

    pportunities Solution

    Location (nsig't As a ServiceGenerate New Revenue Streams and (mprove Custom%/perience

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    'ig $ata "lat6or

    Oracle Condential 3

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    'ig $ata "lat6or

    Data !anagement

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    'ig $ata "lat6orData

    Data !anagement

    4eservoir actory

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    'ig $ata "lat6orData Fast Data

    Events Actions

    1 2 3

    !treas

    Data !anagement

    4eservoir actory

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    'ig $ata "lat6orData Fast Data

    Events Actions

    1 2 3

    !treas

    Data !anagement

    4eservoir actory

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    'ig $ata "lat6orData Fast Data

    Events Actions

    1 2 3

    !treas

    Data !anagement

    4eservoir actory

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    #ocation $ata %oneti&ation Capailities

    Data Fast Data

    Events Actions

    1 2 3

    !treas

    Data !anagement

    4eservoir actory

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    #ocation $ata %oneti&ation Oracle ootp

    Data Fast Data

    Events Actions

    1 2 3

    !treas

    Data !anagement

    4eservoir actory

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    $eo 3 #ocation $ata %oneti&

    Oracle Condential 3

    #ocation $ata %oneti&ation !ol(tion

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    "DD 

    DATA FACTR= DATA

    !ANAG%!%NTDATA LA" APP

    "DAHadoop

    FootSignalin

    g,Data

    Tra6c

    DATA

    CDR,>DRData

    #ocation $ata %oneti&ation > !ol(tionArchitect(re

    D( for "ig Data' '

    "SS pro$ledata

    $iscovery

    Aggregate *

    Anonyi&e

    "DS?L

    'ig $ata4eservoir

    On $eand U(ery!

    #ocation $ata %oneti&ation C#OI$

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    DATA FACTR= DATA

    !ANAG%!%NTDATA LA" APP

    Signaling,Data

    Tra6c

    DATA

    CDR,>DRData

    #ocation $ata %oneti&ation > C#OI$Architect(re

    "SS pro$ledataAggregate

    *Anonyi&e

    Foo

    Loca(nsi

     @a

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    AcS(ire ?$AA@ and Aggregate ?$AA ACO4@

    Demo Step )

    • +enerated eleco!(scrier activity :ithlocation, call type, tie

    • E;tracted c(stoerprole data s(ch as age,gender, calling plan,A4"I 6ro '!! dataaseand coined :iths(scrier activity

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    Anonyi&e ?$AA ACO4@ * Archive ?$AA %ANA+E%EN@

    Demo Step B)

    • 4eoved privacy data s(ch asC(stoerd, Age and oeAddress etc.

    • Anonyi&e the data y gro(pingthe s(scriers at a speciclocation at a certain tie :ith aspecic age gro(p

    • +et a co(nt 6or each calling plantype, age gro(p, device type andaverage A4"I 6or each set

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    C!" #ocation Analytics ?$AA #A'@

    Demo Step )

    ge Distri*ution

    CallingPlan

    +sage

    ender Statistics

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    Head ofSales

    Head of ps

    Head ofAnal&tics

    Head ofService

    C'iefTec'nolog&

    6cer

    E

    !Net:or) pac)ets

    processed persecond

    deliveringpredictive 6ail(redetection in #E

    B

    ncrease

    4even(e via!egentation

    4ed(ction in ests andAnalysis

    IBAcc(racy on

    s(scrierrene:als

    J;4ed(ction in

    Call"rocessing%in(tes per

    day

    Results "eing Reali5ed *& 3orld K C(nstitutions

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    'ig $ata "lat6orData Fast Data

    Events Actions

    1 2 3

    !treas

    Data !anagement

    4eservoir actory

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    Coplete $eployent Choice

    !ove wor0loads *etween Private and PuCloud

    Deplo&ment C'oice

    Private Cloud Pu*lic Cloud

    SameStandards

    Same ProductsH&*rid Cloud

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    =isit o(r 'ig $ata nd(stry !ol$eos

    "(G DATA SH3CAS%

    3est %nd of DemoGrounds!ascone Sout'

    Oracle Condential 3

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    3' C' l f D ! i

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    Data as Capital) %anage yo(r dataas a oneti&ale asset.

    (nnovation and Agilit&9 Clo(d>ased capailities that deliver

    innovations ore S(ic)ly andrelialy.

    Speed to Anal&tic #alue) Anintegrated set o6 'ig $atatechnologies s(pports the entireanalytic process

    B

    Resource %6cienc&9 Enale theorgani&ation to ecoe data driven.

    E

    4es(lting in9Greater Custom(ncreased ReveNew "usiness !

    3'& C'oose racle for Data !oneti

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