4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 1/5

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AsatechnologyadvisortothestartupsatSAPStartupFocusProgram,Ihavetheopportunitiestoworkwiththeinnovativestartupsfromalldifferentkindsofareas.SAPStartupFocusisa12monthglobalprogramforstartupswithbigdata,predictiveanalyticsand/orrealtimedatadecisionsolutions.WemakeSAPHANAavailabletothestartupcommunity,helpeligiblestartupsacceleratethedevelopmentoftheirsolutions.WealsohelpthestartupswithvalidatedHANAsolutionacceleratemarkettraction.

ImfromthesecondphaseoftheprogramthatwecallDevelopmentAccelerator,inwhichphasewearehelpingstartupstobuildtheMinimumViableProduct(MVP)within1yearperiodoffreetechnicalsupports.Asahandsonpersonoftheteam,myjobistohelpthestartupssolvealldifferentkindsoftechnicalproblems,advisearchitecturedesigns.Ialsoownthetechnicalthoughtsandcreationsoftechnicalcontentsforstartupeducations,theteamIamwithhavedonemanyprototypingworkshops(a1dayclassroomtraining)totraintheengineersfromstartups.Wehavetrainedmanystartupsallovertheworld.

Ihadstudiedsomeexistingeducationalcontent,thankstoSAPproductanddevelopmentteamsincreatingtheamazingSAPHANAInteractiveEducation(SHINE),itwillbeasolidstartfornewdeveloperstoSAPHANA.ClickthelinktolearnmoreaboutSHINE.

ThereasonwefoundthatwecannotjustreuseSHINEisbecauseofthediversityofthestartups,manyofthemarentintheareaoftheenterpriseworldanditishardforthemtounderstandthedatamodelofSAPEPMsystem.Besides,startupswanttohavesomethingfunsoIdecidedtocreatesomethinginterestingandmoreclosetothemindsetofstartups.Wehaveusedthesecontentstotrainmanystartups,thefeedbackswereceivedthattheyareverymuchenjoyedthatIdecidetoshareitwithyouthroughaseriesofblogsandthisisthefirstblogthatinwhichIwillcovertheoverview.

Ok.Letsgetstarted.IdowanttotellyouthatIhaveevaluatedmanyopendatasetsthatincludetwitteryoumayhaveseeninmyanotherblog,LinkedIndataandsomeotherdataset,eventuallyCrunchBasedatastandsitselfoutbecauseitissoclosetowhatIwant.ForthosewhodontknowCrunchBasedatayet,thesimpledescriptionisitisthedatasetaboutStartups,Investors,Competitors,FundingsandAcquisitionsthatyoucanimagineitisverycloseofthestartupsdailylife.

DataModel

CrunchBaseisafreedatabaseoftechnologycompaniesandstartupsoperatedbyTechCrunch,whichcomprisesaround500,000datapointsprofilingcompanies,people,investors,fundingsandacquisitions.BelowisthenumberofpointsforeachentitytypeinCrunchBase:

CrunchBaseitselfdontcomparethecompaniesandthereisnooptiontoaggregateandcalculateevendiscovertherelationshipsbetweenthevariousdatasets,byloadingthedataintoainmemorydatabaselikeSAPHANAandutilizethedatamodelingtoolorembeddedanalysisalgorithms,someveryinteresting

SAPHANASelfLearningasNeverBefore(Part1)thefirstlessonforstartupstolearnHANAPostedbyEricDuinSAPHANADeveloperCenteronApr16,201511:56:55PM

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4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 2/5

questionslikebelowcanbeansweredinrealtime:

Whatkindofcompanieshavemoreopportunitiestobeinvestedoracquired?Whatarethelikablecompetitorsofacompany?Whatisthelocationdistributionofcompanieshadreceivedinvestmentsover3rounds?WhataretheshortestoraveragetimetoIPO?

Thediagrambelowshowstheentityrelationships.Foreachcompany,itcanhavezerotomultiplefundingrounds,acquisitions,IPOs,personsworkorhadworkedforthecompany,competitionsaswellasoffices.Thefinancialorganizationsareusuallytheventurecapitalists.

Youcanthinktherearemanywaystousethedatatofindtheinsightsbehindstartupsandinvestorscommunity.ButdontforgotourmissionhereistouseittodemonstrateHANAcapabilities,herearesomeexamples:

Modeling:InvestmenthistorymodeltoaggregateallthefundingrecordsofeachfinancialorganizationSQLScriptProcedures:Defineproprietaryalgorithmstocalculatestartupranksbasedonthefundings,competitionlandscapeanalysisTextAnalysis:ExtractsentimentresultsofcompanyrelatedinformationPredictiveAnalysis:InvestorclusteringGeospatialAnalysis:FundingandacquisitionlocationdistributionsVisualization:UsingSAPUI5forMobile,CVOMchartstoshowfunding,acquisitionrecordsXSEngine(OData&XSJS):DeclareODataservicesorXSJSservicesfordataexposuretoUIlayer

Applications

Ok,nowletstakealooktheapplicationsIhavebeencreated.

1.StartupProfile,Ranking,FundingVisualization.IsTwitterstillastartup,maybeIshoulduseanothercompanyasanexample

4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 3/5

2.CompetitionAnalysis,algorithmsimplementedinSQLScripttofindoutthecompetitors

3.GlobalStartupFundingHeatmap,useSAPHANAGeospatialEngineandGoogleMapsastheclient

4.InvestorClusteringbyKmeans,useSAPHANAPredictiveAnalysisLibrary

4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 4/5

5.CompanySentimentRatings,useSAPHANATextAnalysis

6.DiscoverStartupsandInvestors,usemostofSAPHANAPlatformfeatures

InvestorProfilePage

4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 5/5

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