Capgemini-數(shù)據(jù)驅(qū)動操作轉(zhuǎn)換 Data-Powered Operations Transformation

Data-Powered

Operations

Transformation

Unleashingsynergiesandoutcomesthroughleveragingdata-powered,AI-enabled,and

highly-automatedbusinessoperations

Thecollectionanduseofdatahasevolvedon

acontinuum,beginningasthefoundationfor

gatheringinsightswhicharethentransformedintoactionablebusinessintelligence.Theintroductionofcloudplatformsandscalableinfrastructurespedupthepaceofchange,enablingcompaniestoswiftlyshifttoanewphaseofdigitaltransformation.

Now,toenableatrulyconnectedenterpriseinvolvesorchestratingend-to-end,data-drivenoperations,

withadvancedanalytics,AI,andGenAIatitscore.Thistypeofcohesivesolutionhelpsorganizationsdrivesustainablebusinessobjectivesandoutcomes,enhancevalue,andpromotecontinuedinnovationthattouchesallpartsofoperationslikenever

before.

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Operationaloverhaul

Whateverthesector,everyenterpriseis

composedofdistinctivecorporatefunctions,whichtypicallyincludefinanceandaccounting,supplychainmanagement,marketingand

communications,customersupport,and

humanresources.Theseoperationsarefurthersupportedbycriticalinitiativeswithregardto

managingandmonitoringsustainability,risk,andcompliance.Eachareaistypicallyledbyaglobalbusinessunitoroutsourcedtoorganizations

withdeepexpertisetomanagethesecoreresponsibilities.

It’snotdifficulttoenvisionthevastamountofdatageneratedfromthousandsoftransactionsandinteractions,whichcreatescountless

opportunitiestouncoverdeeperinsights,

developnewsolutions,generatenewrevenuestreams,andboostcustomersatisfaction.

However,continuingtocollectandstoremassivevolumesofsensitiveinformationpresents

significantchallenges.It’shigh-risk,costlyand

unsustainable.Companyleadersrecognizethey

mustmakesmartdecisionsaboutthetypesof

datatheycollect–andtheirintenttouseit.At

thesametime,theymustconstantlyoptimizeand

radicallytransformtheefficacyandefficiencyofthecompany’scorefunctionsandcomplementaryprocessesbyrevisingtheorganization’soperatingmodel.Byadoptinganintegratedandpurpose-

drivenapproachtousingadvancedanalytics,companiescantrulymakethedatadeliver.

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Fromanalyticstobusinessoutcomes

Capgemini’sData-PoweredOperationsTransformation(DPOT)approachenables

sustainablebusinessobjectivesandoutcomesthatcanbeadaptedtoanyindustryororganizationalfunction.

Co∩sideΓa∩e∩teΓpΓise’s?∩a∩cea∩daccou∩ti∩9

operations,hometoahostofcrucialfunctionsfrombudgetforecastingtoaccountsreconciliationand

payroll.Formanyofthesekeydepartments,data

HowisfΓa9me∩ted.FoΓi∩sta∩ceIi∩accuΓatedataoΓunbilledordersandchargesleadtoanincreasedriskofrevenueleakageintheorder-to-cashprocess.Inotherwords,abusinesshasearnedtherevenuebuthasn’tcollectedit.

ThisΓouti∩elossca∩ΓepΓese∩tasi9∩i?ca∩tpoΓtio∩ofacompany’srevenue.Yetmanycompanies

don’tevenknowthemoneyismissing.EmbeddingsolutionsthatleverageDPOT,suchasusingpayablesanalyticsandreceivablesanalyticswithinthese

dailyprocesses,helpsteamsidentifyandpreventrevenueloss.IncaseswhereCapgeminihasusedadvanceddataanalyticstoaddressthisbusinesschallengeattheprocesslevel,0.5–1.25percentofrevenuewasrecovered,movingtoastateofrevenueleakagetooneofrevenueassurance.

However,suchsolutionsaren’tprimarilyaboutplugginganoperationalgap.They’reabout

orchestratingalarger,moreholistic,intelligent,andconnectedecosystemofpeople,processes,technology,anddata.

AkeyfeatureofDPOTistheabilitytobuildan

intelligent,adaptabledataandanalyticsplatformthatcanbeenhancedwithbusinessmonitoring

anddiagnostics.Thisprovidesreal-timepredictiveinsightsandproactivedecision-making,aswellaswhat-ifscenariomodelingandbillinganalyticsasaservice.

Thekeyisforcompaniestoadoptintegrated

solutionstodrivebusinessobjectivesandoutcomes.Thisincludestakingadata-centricapproachto

everythingfromestablishedprocessessuchas

oΓdeΓ-to-cashtotheoveΓaΓchi∩9?∩a∩cialpla∩∩i∩9andanalysis(FP&A).

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2030%

–

reductionindaysinventoryoutstanding

15–22%

workingcapitalimprovement

Towardsanautonomous,connectedenterprise

Asartificialintelligence(AI)infusesour

everydaylives,there’satendencytothinkofthetechnologyasrunningrampantwithoutchecksandbalances.WithDPOT,there’salwaysahumaninthelooptoensureevidence-basedpredictionsfordeliveringimprovedprocesses,mitigating

hitches,andachievingoptimalresults.

ThevisionofafullyconnectedandautonomousenterprisepoweredbyAIisn’tyetareality,

butsignificantprogresshasbeenmade.As

technologieslikeGenAIandmachinelearningevolve,theyarebeingincreasinglyapplied

todrivetangibleandmeasurablebusinesstransformation.

Forinstance,considerthesupplychain

operationsofaconnectedenterprise.Our

objectivewithDPOTistosupportourclientsininventorymanagementfunctions.Asinthescenariomodeling,toachieveworkingcapitaloptimization,servicelevelimprovement,andenhancedriskmanagementandcontrol.The

businessoutcomesaddressedinthisusecaseareexpansiveandsignificant:

25–35%

reductioninbusinesswaste

95–97%

stock

availability

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Similarly,DPOTcanradicallyimprovethe

customerexperience.Forbesreportedthatin2024,“50%ofcustomersarewillingtosharepersonalinformationforamorepersonalizedexperience.”Thisisanotherareawheresmartuseofdatacomesintoplaytoboostcustomerloyalty.

Asnotedabove,AIandGenAItechnologiesarematuringandhavebeenusedextensivelyincustomercallcentersforcontinuous

improvement,achievingimprovedresults.Businessoutcomesaddressedinclude:

Improvedresponsivenessrates,

including80%reductionintransactiontimeand35%improvementinaccuracy

Aboostincustomerretentionand

20%increaseincustomersatisfaction

Reducedoverallcosts,with40%reductionincosts-to-serve.

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Underpinningimprovementsinfinance,supply

chain,andcustomerexperienceistheneedfor

reliableandtrustworthydatathatdrivesinformeddecision-makingacrossorganizations’value

chains.DPOTenablesclientstounleashsynergiesacrossbusinessfunctionspoweredbyreliable

andtrustworthymasterdata,whichcandeliverasignificantpositiveimpacttothetopandbottomlinesoftheorganization.

Likewise,carbonemissionsreductioniscrucialto

ensureorganizationalresilienceinasustainability-centricworld.Yet,theyoftenlackthecarbon

accountingskillstoembedcarbonemissionsdata

intodecision-makinganddrivevaluefromthatdata.

DPOTdeliverscomprehensive,transparent,andauditabledatathatenablesorganizationstodrivecarbonabatementandcomplianceandtracktheprogressionoftheirnet-zeroambitions.

Technologyisn’tsimplyadvancingmorequickly;it

hasbecomemuchmorepowerful.Thescenarios

outlinedaboveshowtheflexibilityandreachof

applyingDPOTacrossbusinessfunctionsand

industries.Andalthoughcompaniesaren’tquite

readytorunthemselves,connectedecosystemsarealreadyelevatingdata-drivendecision-makingwithrobustresults.

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Innovationtakeaways

Smallisbig.Whenitcomestocollectingdata,enterprisesshouldn’tfocusonvolumebutonvalue.

Holistic,notsiloed.Fororganizational

transformationtobesuccessful,enterprisesmusttakeanoperationalapproachratherthancherry-pickingone-offsolutions.

“

Leveragingadata-poweredoperations

transformationapproachleadstobetterdatafoundations,insights,andpredictions,which

willdrivebettertransformationaloutcomesforourcustomers.”

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Keyexperts

SebastienGuibert

VP,IntelligentProcessAutomation,OfferLeader,Capgemini’sBusinessServices

VaibhavShringarpure

VicePresident,Insights&Data,CapgeminiNA

LalithaKompella

GlobalHead,IntelligentAutomation