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EndsinDatawithMarkusBuhmann
andAnaLopezNiharra
EndsinData.
Theinternetdoesn’tlikedataendings.
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData.
Anditisthreateningthe
-consumerrelationships
-businesses
-andthetechnologytheyrelyon.
We arefailingtoconceiveendingsindata?
EndsinData
TheConsumerCase.
“Ifcustomerscanleaveeasily.
Moreofthemwillleave.
Sowehavetomakeithardtoleave.”
Everyproductownerever

“Whyisitsohardtoleave(insertanycompany)”
ConsumersshoutingonTwitter

EndsinData.ConsumerArgument
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
System Closed Identity Systems Direct Subscriptions In direct identity Indirect Processing
Example Banking, tax, government WSJ, Wired, SlideShare via LinkedIn 3rd Parties, sold data, Cookies
to close Regulation, Legal process GDPR etc, interpreted
“If you created your SlideShare account
through LinkedIn, you'll have to close
your LinkedIn account.”
?
ending
experience
Guided instructed Guided instructed Proxy close ?
Walled / Trusted Symmetric / Visible Proxy / OAuth Asymmetric / Invisible
EndsinData.ConsumerArgument
Consumerexperienceofdata.
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
System Closed Identity Systems Direct Subscriptions In direct identity Indirect Processing
Example Banking, tax, government WSJ, Wired, SlideShare via LinkedIn 3rd Parties, sold data, Cookies
to close Regulation, Legal process GDPR etc, interpreted
“If you created your SlideShare account
through LinkedIn, you'll have to close
your LinkedIn account.”
?
ending
experience
Guided instructed Guided instructed Proxy close ?
Walled / Trusted Symmetric / Visible Proxy / OAuth Asymmetric / Invisible
EndsinData.ConsumerArgument
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData.ConsumerArgument
Source:Which?DataDozen.
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData.ConsumerArgument
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData
TheBusinessCase.
Source: gartner.com
By2025,80%of
marketerswhohave
investedin
personalisationwill
abandontheirefforts.
27%ofmarketers
believedataisthekey
obstacleto
personalisation.
DuetolackofROI,theperilsof
customerdatamanagementorboth.
Revealingtheirweaknessesindata
collection,integrationandprotection.
Source: gartner.com
EndsinData.BusinessArgument
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
Legislationhasincreasedglobally.
Examples

‱ TheCaliforniaConsumerPrivacyAct
‱ GDPR
‱ Japan’sActonProtection‹
ofPersonalInformation
EndsinData.BusinessArgument
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData.BusinessArgument
Diverseserviceportfolio.
Numerousserviceswithonlyhandfulofcustomers.
Eachservicehasitsownbillingcomponent.
Nothingcanbedecommissioned.
Providerisleftwith100sofbillingcomponentssupportingoldproducts.
Products trapped without an end.
Example:ServiceProvider
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData
TheTechnicalCase.
Datalifecycle
EndsinData.DataArgument
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData.DataArgument
Ex: Data Lakes.
A data lake is a centralised repository that
allows you to store all your structured and
unstructured data at any scale.
Big data hubris - the data swamp, nosql dbs
lead to greater and greater amounts of data
being kept
Backup costs higher, effective recovery low.
Lakesintoswamps
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData.BusinessArgument
Processtrillionsofdollarsinpaymentsweekly
Wantedinsightsacrosspayment
Createddatalake
Overwhelmedbyunstructured/unknown-abledata
Mothballedandeveryonewasfired.
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
Example:InternationalBank
EndsinData.DataArgument
Datascience Data Swamp(hubrisofBIGDATA)
Hypothesis,test,refine.
Writetest,Passtest.Refactor.
Storageforever
Process
Has a clear an ending Infinite
Unknown,murky
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
Resource
Lingeringdatacreatesmistakes
Facialrecognition 
biasesdata-sets-creditrisk
falsepositivesforwomen
andpeopleofcolour.
HeadofMicrosoftVision‹
EndsinData.DataArgument
Largeretailbanksarehavingto
discardoldriskdatedueto
historical(pre80s)lackof
womenborrowers.
SentencingsoftwareintheUS
modelsrecidivismratesbasedon
existingsentencingdataandgives
disproportionately higher
sentencestoblackmen.
WeaponsofMathDestruction
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData
Problemswithoutanending.
Technical case:
Securityexpectationshigh.
Burdenstechnicalresources.
Createstechnicaldebt.
Impossibletorefactor
Can’t manage an end.
Consumer case:
Novisibilityofdata.
Limitedownershipofdata.
Hardtoend.
Aren't allowed an end.
Business case:
Increasedcompliance.
Costincreasing.
Lowersaccuracyofdata.
Lingeringlegacyproducts
Can’t face an end.
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
EndsinData.PotentialSolution
SolidPods
"The Web as I envisaged it, we have not
seen it yet. The future is still so much
bigger than the past.”
TimBerners-Lee
Thefirstwebbrowserwasalsoaneditor.
Theideabeingthatnotonlycouldeveryone
readcontentontheweb,buttheycouldalso
helpcreateit.
Itwastobeacollaborativespaceforall
humankind.
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra
SolidPods
EndsinData.PotentialSolution
EndsinData
Increasedendingsindata

Consumer case:
Increasedvisibilityand
responsibility.
Ownershipofdata.
Empoweredtoend.
Conclusive.
Technical case:
Securityresponsibilitymoved.
Focusonproductbenefits
Freedomtorefactorfrequently
Business case:
Simplifiedcompliance.
Managingcost.
Quickerfaster,leaner.
Maximisequalityofdata.
Fasterproductinnovation.
Ends in Data. Joe Macleod. Markus Buhmann. Ana Lopez Niharra

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