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8/17/2019 CON10054_Masood-CON10054_OpenWorld SF2015 CSP Location Data Monetization
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Copyright © 2015, Oracle and/or its afliates. All rights reserved. |
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
8/17/2019 CON10054_Masood-CON10054_OpenWorld SF2015 CSP Location Data Monetization
5/43Copyright © 2015, Oracle and/or its afliates. All rights reserved. |Copyright © 2015, Oracle and/or its afliates. All rights reserved. |
ntrod(ction
Oracle Condential 3
8/17/2019 CON10054_Masood-CON10054_OpenWorld SF2015 CSP Location Data Monetization
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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.
8/17/2019 CON10054_Masood-CON10054_OpenWorld SF2015 CSP Location Data Monetization
7/43Copyright © 2015, Oracle and/or its afliates. All rights reserved. |Oracle Condential 3
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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