small devices, big data and decision making

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  • SMALLDEVICES,BIGDATAANDDECISIONMAKING

    BigData,MetroTorontoConven;onCentreJune15,2016

    MirceaBaldean

  • -DanielKahnemanAuthorofThinkingFastandSlow

    Youcanlookatapain;ngallyouwant,butaskingaboutitsprovenienceisusuallyagoodguidewhetherthepain;ngisgenuineornot.

  • THEMAPAN

    DTHETERRITORY

    APrimerinDecisionMakingSmallDevices,BigDataUnderstandingData

    123

  • APRIMERINDECISIONMAKING1

  • APRIM

    ERBeforeWeStart

    Wetendtobeop;mis;caboutthethingsthatareimportanttous...

  • APRIM

    ERNoisevs.Signal:LawofSmallNumbers

    Source:MichaelJ.Mauboussin,CapitalIdeasRevisited-Part2,MauboussinonStrategy,2005.

    HeadsorTails?Short-termresultsshowmostlynoise:

    50/50normalizedresults

  • APRIM

    ERInsideViewvs.OutsideView

    TheInsideviewisbasedonintui;on.

    TheOutsideviewwill,atleast,givesusaballpark.

    Whichonewillyouactupon?

  • APRIM

    ERWhyisChangesoHardtoImplement?

    Bigdataimplieschangeswithinmostins;tu;ons.Inthecontextofchangesorreforms,therewillbelosersandtherewillbewinners.Youcanknowaheadof;methatthepoten;alloserswillfightharderthanthewinners.

  • APRIM

    ERWhyisChangesoHardtoImplement?

    Losseshurtroughlytwiceasmuchasgainsfeelgood!

    Source:A.TverskyandD.Kahneman,ProspectTheory,1979.Chart:SSgA,TheExchange,2011.

  • APRIM

    ERWhyisChangesoHardtoImplement?

    UnlikeGoogle,mostorganiza;onsdonotexperiment.Fewemployeesagreewitheachother,andinfacttheirviewscandifferbyasmuchas45-50%.Andmanyorganiza;onsdon'tevenknowthat!

    Source:D.Kahneman,Bigdata,intuiPonanddecision-makinginfinance,SantaFeInsPtute,2015.

  • APRIM

    ERInsideViewvs.OutsideView

    ExperiencedoesnotbringConvergence,itincreasesConfidence.

    Focusonbederinsightsand

    fewerblindspots.

    Source:D.Kahneman,Bigdata,intuiPonanddecision-makinginfinance,SantaFeInsPtute,2015.

  • APRIM

    ERInsideViewvs.OutsideView

    Intheknowledgeeconomymakingbederdecisionsiskey.

    Therestisincreasinglybecoming

    automatedanyways.

  • SMALLDEVICES,BIGDATA2

  • SMALLD

    EVICES,BIGD

    ATASmallDevices,BigData

    BigDatarepresentstechniquesandtechnologiesthatmakehandlingdataat

    extremescaleaffordable.

    Source:ForresterResearch,Inc.ThePaSernsOfBigData,June2013.

  • SMALLD

    EVICES,BIGD

    ATASmallDevices,BigData

    Mobileisallaboutopportunity.

    Technologyandsocialconnec;vityshouldbeseamless.

  • SMALLD

    EVICES,BIGD

    ATAMobileWebvs.Apps

    MobileWebistransac;onal.

    Appshaveaspecificintent

    andamuchricherexperience.

  • SMALLD

    EVICES,BIGD

    ATAMobileWebvs.Apps

    Mobileismul;-dimensional:

    Loca;on,Proximity,Immediacy

  • SMALLD

    EVICES,BIGD

    ATAValueofBigData

    WebandMobilesta;s;csarebyfarthemostmeasurableandaccuratesourceofmarke;ngdataavailable.

  • SMALLD

    EVICES,BIGD

    ATAValueofBigData

    However,themostcommonobstacletosuccessfulanaly;csisnottechnology,butrathercross-teamintegra;on.

  • SMALLD

    EVICES,BIGD

    ATAHandlingBigData

    Datadoesn'tagewell.Don'tmakebaddecisionsusingbaddata.

  • SMALLD

    EVICES,BIGD

    ATAHandlingBigData

    Investintracking

    Leveragethedata

  • UNDERSTANDINGDATAATMEETVIBE3

  • UNDERSTAN

    DINGD

    ATAMeetVibeisaboutconnec;ngpeople

    andideas.

    Wegivethemaccesstotheworldaroundthem:people,places,rela;onships,interac;onsand

    meaningfulconnec;ons.

  • Moreimportantly,peoplechooseMeetVibebecausetheytrustuswith

    theirprivacy.

    Tosimplifyscheduling,weprovideaconvenientandsafewayofviewingthe

    available;mes.

    UNDERSTAN

    DINGD

    ATA

  • UNDERSTAN

    DINGD

    ATAUnderstandingDataatMeetVibe

    ProprietaryReal-TimeBIDashboard

    AppStoreAnaly;cs

    GoogleAnaly;cs

    Proximity/Loca;on-basedCMSSocialAnaly;cs

    EmailAnaly;cs

    SalesForce.com

    ProjectManagementAnaly;cs

    Hub-and-SpokeModel

  • UNDERSTAN

    DINGD

    ATAUnderstandingDataatMeetVibeProprietaryReal-TimeBIDashboard

  • UNDERSTAN

    DINGD

    ATAUnderstandingDataatMeetVibeFootprint,AppVersions

  • UNDERSTAN

    DINGD

    ATAUnderstandingDataatMeetVibeProximityInteracTons

  • Inanaly;cs,successisdependentuponaskingtherightques;ons.

    Some;mesthinkingfastcanleadto

    falseposi;ves.

    THEEND

  • THANK#YO

    U!

    Thank#You!MirceaBaldeanmeetvibe.com/baldean@baldean

    Surprise..NoTest!

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