[webinar slides] learn how to put the data you're already capturing to work

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Underwri(en by: Presented by: Informa(on Is Your Most Important Asset. Learn the Skills to Manage It Learn How to Put Your Customers’ Data to Work for You Presented August 24, 2016 Learn How to Put the Data You’re Already Capturing to Work for You Presented August 24, 2016

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Underwri(enby: Presentedby:

#AIIMInforma(onIsYourMostImportantAsset.LearntheSkillstoManageIt

LearnHowtoPutYourCustomers’DatatoWorkforYou

PresentedAugust24,2016

LearnHowtoPuttheDataYou’reAlreadyCapturingtoWorkforYou

PresentedAugust24,2016

Underwri(enby: Presentedby:

HarveySpencerPresidentHarveySpencerAssociates

DavidJennessECM/ContentServicesMarke4ngIBM

Host:TheresaResekDirectorAIIM

Today’sSpeakers

Underwri(enby: Presentedby:

HarveySpencer

President

HarveySpencerAssociates

IntroducingourFeaturedSpeaker

Underwri(enby: Presentedby:

HowtoPutYourCustomers’DatatoWorkforYou

§ Whoisacustomer?§ WhatisData?§ Whatisitsvalue?§  Towho?SomeMmestheanswersarenotclear.

Underwri(enby: Presentedby:

Compliance&RecsManagement

CaseManagementWorkflowforSupplier/CustomerRels&ExperienceAccounMng

CAPTURE

PaperMailEmailA(achmentsFAX

Business Need

Today’s Business Processes rest on shared documents that must be received, understood and processed

Underwri(enby: Presentedby:

Tradi(onalECMscanandindexSolu(ons:IknowwhatwhatitisandIknowIcanfinditinthispileofpapersomewhere

ServedbySimpleCapture§  Scanthepaper§  Classifyit§  OCRthedata§  Extractrequireddata§  Presenttouser

©harveyspencerassociates2016

Underwri(enby: Presentedby:

ScannedpaperhasbeenthemaininputforCapture

2015 ScannerMFPFaxEmailMobileSMllImagesOther

SourceHSAResearch2016

DocumentsxSpendingonCaptureSo[ware

Underwri(enby: Presentedby:

CaptureusesOCRtoExtractIndexandTransac(onalData

Source:IBM

Underwri(enby: Presentedby:

CustomerRelatedDocuments

ProposalsNewCustomerorPaMenton-boarding

CollateralorReferencesContracts

SalesOrdersPaymentAdvicesLoansandClaimsCorrespondence

etcetc…

Underwri(enby: Presentedby:

MostSourcesofDocumentsarefromknownen((eswhowehavearela(onshipwithorwhoareknowntoothersthatwecangetreferencesfor.Weprocessknown(mostlypaper)documentsfromthesecustomersandrelateden((es.WemightcalltheseKnownKnowns

Underwri(enby: Presentedby:

TherearemanyDocumentsreceivedbyorrelevanttoabusinessthatyoudon’tknow

Knownknowns

Knownunknowns

Unknownknowns

Unknownunknowns

Underwri(enby: Presentedby:

KnownUnKnownsareDocumentsthatweknowbutwedonotknowwhatthetruevalueisinassocia(onwithourbusinessneed.

“Iknowthisisthecontractandweonlyneedtoextractthefirstfewfieldstoprocessit.Butmaybethereisotherdatathatwecanextractwhichmaybeusefultootherprocessessuchasriskmanagement,securityorcompliance?”

Underwri(enby: Presentedby:

UnknownKnownsareDocumentsthatwereceiveandwonderwhyitisinthe‘folder’

“Whyisthisdocumenthere–Iknowthatit’saninvoicebutIhavenoideawhyitishereinaloanapplica4on–maybeit’samisfiling?”

©harveyspencerassociates2016

Underwri(enby: Presentedby:

UnknownUnknowns“WellIhaveneverseenthisbefore.”

Ihaven’tacluewhatitisorwhyit’shere

Source:Ge(yImages

Underwri(enby: Presentedby:

Whydoyouneedtoknow?AHolis(cViewofaCustomerorAc(vityRequiresAllCurrentDataandHistoricalDataisNeededForPerspec(ve

§ MulM-channelinputs,mulMplesources§  Customerspecific§  RelatedtotransacMoninhand

©harveyspencerassociates2016

Underwri(enby: Presentedby:

Unknownswithindocumentso_encontainimportantbusinessinforma(onthatwecanusetobe`ermanageourbusiness;reducerisk;enhancecustomerservice;anddoitinamore(melyway.

©harveyspencerassociates2016

Underwri(enby: Presentedby:

Usersarestar(ngtounderstandandusetheirunknowndocuments

§  MiningDocuments§  Healthcare:MiningoldpaMentdataforcluestocancer§  Insurance:Analyzingoldclaimsdatatoreduceriskand

createmoreaccuratepricing§  CustomerUnderstanding

§  Correspondence,emailandsocialmediatoextractintentandsaMsfacMonlevels

§  CrossSellingservices§  Collateralandbankstatements§  Receiptanalysisforspendingpa(erns

©harveyspencerassociates2016

Underwri(enby: Presentedby:

Classifica(onoftheDocumentistheCornerstoneofUnderstanding

Underwri(enby: Presentedby:

CaptureClassifica(onTypes

§  ImageClassificaMon§  Whatdoesitlooklike?

§  TextualClassificaMon§  Whathasitgotwri(enonit?

§  ProximityclassificaMon§  isthereadescripMonofthefield(s)?

§  LanguageClassificaMon§  Whatlanguageandcurrenciesarebeingused?

§  SemanMcClassificaMon§  Whatisthetopicandintentofthedocumentcontent?

§  SenMmentClassificaMon§  Howdidthesenderfeelaboutthings?

Underwri(enby: Presentedby:

Classifica(onAccuracy

§  Humanstopoutatabout60%+dependingontraining§  BasicClassificaMon(imageandtextbased)topoutatabout

80+%§  AddingCogniMveCapture–SemanMcandSenMment

increasesaccuracyto95%+

Underwri(enby: Presentedby:

WithCogni(veCapture,wecanexpandUnknownUnknownsStarttoBecomeKnown

Unknown

document

IdenMfyme

tadata

andextrac

t‘clues’

Value

©harveyspencerassociates2016

Underwri(enby: Presentedby:

UnderstandingALLInforma(oniscri(calbutitisveryearlystages.RiskisHigh.

1in3BusinessleadersfrequentlymakedecisionsbasedoninformaMontheydon’ttrustordon’thave

1in2Businessleaderssaytheydon’thaveaccesstoinformaMontheyneedtodotheirjobs

83%ofCIO’scited“BusinessintelligenceandAnalyMcs”aspartoftheirvisionaryplanstoenhancecompeMMveness

60%ofCEO’sneedtodoabe(erjobcapturingandunderstandinginformaMonrapidlyinordertomakeswi[businessdecisions

Source:IBMInterconnect2016

Underwri(enby: Presentedby:

Compliance&RecsMgmt

AnalyMcs

TransacMons

Supplier/CustomerRelaMons&Experience

CAPTURE

Un-StructuredandSemi-StructuredInforma(onPaperMailEmailFAXImagesVideoVoiceTextSocialMedia

Business Rationale

IncomingBusinessDataisMul(-Source,Mul(-Channel

©harveyspencerassociates2016

Structured

Da

ta

Underwri(enby: Presentedby:

InsurersareStar(ngtoAccessandLookatsocialmediadata

§  In2012InsuranceCo’sstartedtoallowelectronicreporMngclaimswitha(achedphotos§  A[erHurricaneSandy10’softhousandsfiledclaimsusing

mobileapps

§  SomeInsurersmonitoredSocialMediaduringtheHurricane§  20mtwi(erfeedsbetweenOct27andNov12012§  1/3Twi(ertrafficwasinformaMon-related,includingnews

originaMon,governmentreportsandeyewitnessreports,*Source: Insurance and technology -- Accenture

Underwri(enby: Presentedby:

MiningSocialMedia

“justsawbeachcoHage–reallywanttobuy–canIafford@xyzrealtor”

Underwri(enby: Presentedby:

O_entheTotalityofInforma(onfromyourCustomer’sDocumentsIsNotKnown--Cogni(veCapturemakesitknown

IknowwhatIknowandcanact

onit

IknowwhatIdon’tknowandIdoknowwhere

tofindtheanswers

Iknowwehaveabunchof

informaMonoutthere,butIdon’tknowwhereto

findit

We’lljustruntheanalyMcsandseewhatpopsup

Awaren

ess

High

Low

PreKnowledge LowHigh

AdaptedfromRiskConcepts:gpmfirst.com

Underwri(enby: Presentedby:

THENEXTGENERATIONOFCAPTURESOFTWAREISCLOUDBASEDCOGNITIVECAPTUREWHICHCANMAKETHEUNKNOWNSKNOWN,ANDPUTYOURCUSTOMERSDATATOWORKFORYOU.THANKYOU

[email protected]

Twi([email protected]

Underwri(enby: Presentedby:

DavidJenness

ECM/ContentServicesMarke(ng

IBM

IntroducingourSpeaker

Underwri(enby: Presentedby:

Cancer Research Center: Saving Lives with Content

Underwri(enby: Presentedby:

GlobalBPOBuildsABusinessAroundImprovedOnboardingExperience

Challenges: §  BPO launched a document management

service for clients §  It needed to offer cost reduction, efficiency

and compliance and be profitable

Benefits: §  80% faster processing of customer-related

documents for a retail client §  Cuts costs and effort for clients, and helps

them ensure regulatory compliance §  2 years to achieve full return on investment

for IBM solution

Underwri(enby: Presentedby:

Department of Motor Vehicles: Streamlining for customer satisfaction

Underwri(enby: Presentedby:

Na(onalCreditUnionImprovesUnderstandingofCustomerNeedsChallenges: §  Needed better understanding of

customer needs §  Single method for gathering accurate

data §  Easy-to-use for managers Benefits: §  Can quickly investigate and understand

trends and anomalies §  Faster resolution of issues §  Better decision-making §  Complete benchmarking and metrics §  Better customer experience

Underwri(enby: Presentedby:

Major US Bank: Builds A Better Customer Experience

Underwri(enby: Presentedby:

HawaiiDepartmentofHumanServicesDeliversImprovedServicesFaster

Challenges: §  Paper-based processes §  Distributed across Hawaiian islands §  Poor customer service

Benefits: §  360 degree view of clients §  31% improvement in customer

service §  Handle more cases with no extra staff §  Eliminated fraud §  Deliver on mission

Underwri(enby: Presentedby:

Cogni(veCapturewithWatson

Datacap Insight Edition uses advanced imaging, rules, natural language processing and machine learning techniques to recognize, classify, and extract business data from documents not known to capture system For example: •  Loan packages •  Correspondence •  Contracts •  PDF files with multiple documents

Supports English, French, German, Italian, Portuguese, Russian, Spanish, and Swedish

Underwri(enby: Presentedby:

Expandinganaly(cstoallformsofdata

Watson Cognitive

Investigative Analytics

Predictive Analytics

Content Analytics

Social Media Analytics

Case Analytics People

Content & Data Workflow

Underwri(enby: Presentedby:

Learnmore

InfoandRegisterforIBMWorldofWatson2016October24-27LasVegas,NVwww.ibm.com/wow

AboutDatacapInsightEdiMon–h(ps://youtu.be/p9IG8gJECkIAboutDatacap–www.ibm.com/datacap

Underwri(enby: Presentedby:

#AIIMInforma(onIsYourMostImportantAsset.LearntheSkillstoManageIt

TakeyourskillstothenextlevelbylearningbestpracMcesandtechnologiesfordigitalimagingwithAIIM’sCapture&Imagingtrainingcourse.

Visit:AIIM.org/CaptureTraining

Underwri(enby: Presentedby:

AIIMistheCommunityforInforma(onProfessionals

AIIMbelievesthatinforma(onisyourmostimportantasset.Learntheskillstomanageit.

OurmissionistoimproveorganizaMonal

performancebyempoweringacommunityofleaderscommi(edto

informaMon-driveninnovaMon.

Learnmoreatwww.aiim.org