1. ForgetBoolean

2. AnyonecanperformBooleansearchoranyinformationneedBooleansearchdoesnotadequately describewhatsourcersandrecruiters do,nordoesitdothemjustice 3. ThinkInformationRetrieval 4. Thescienceofsearchingfor documents,informationwithin documents,andsearchingrelational databasesandtheInternet 5. Aninformationretrievalprocess beginswhenauserentersaqueryinto asystem 6. Queriesareformalstatementsof nformationneeds 7. Asasourceror recruiter,whatsyour informationneed? 8. Ultimately,youarelookingtond peoplewhohavespecicskills, experienceandeducation,wholivein aspecicarea,whoareinterestedin youropportunity,andwhoyoucanecruitandhire 9. Specializedformoftextanddata miningforrecruitingQueryingandanalyzinghumancapita datafortalentdiscovery,identication andultimatelyacquisition 10. Transforminghumancapitaldatainto aninformational&competitive advantageData>Information>Knowledge>Decision 11. Successinlifecomesfromthe dentication,controlandeliminationofvariables. 12. Insourcing,whatcandidatevariables canyouidentify,control,andeven eliminate? 13. Experience,education&capabilitie Location Desiredopportunity Compensation Availability 14. oldCalling Talent& Mining Referrals 15. Whatisthe%ofcontrolyouhave0100%)overcandidatevariableswhen youperform: Coldcalling? Referralrecruiting? Talentmining? 16. Coldcalling? Youhaveverylittle,ifany,controloverthespecicexperienceandeducation thepersonyougetonthephoneReferralrecruiting? Youhaveverylittle,ifany,controloverthespecicexperienceandeducation thepersonreferredtoyou,regardlessofwhatyouspecicallyaskforTalentmining? Searchingstructureddatabasesgivesyouaveryhighdegreeoverthespecic experienceandeducationofthepeopleyoudecidetocallbasedonasearch 17. Coldcalling? Whileyoucanbecertainthatapersonyoureachinsideofacompanylivesinaspecimetroarea,youhavenocontroloverwheretheylivewithina50mileradiusReferralrecruiting? Similartocoldcalling,youhavenocontroloverwherethepeoplereferredtoyouactuallylive,andthuswouldbeinterestedincommutingtoTalentmining? Searchingstructureddatabasesgivesyouaveryhighdegreeoverpreciselywherepeoplelive,downtoa5mileradiusorevenaspeciczipcode 18. Coldcalling? Youhaveverylittle,ifany,controloverthetypeofopportunitythepersonyougetonthephoneislookingforasthenextstepintheircareerReferralrecruiting? Aswithcoldcalling,youhavenopredictiveabilitytodeterminewhatapersonwhoisreferredtoyouisinterestedindoingasthenextmoveintheircareerTalentmining? Searchingstructureddatabasesenablesyoutotargetspecicskillsandexperience,includingyearsofexperienceingivenindustries,whichgivesyouapredictiveabilitytmakeaneducatedguessastowhatthenextstepinapersonscareerpathmightbe,andthuswhatthecandidatemightbeinterestedin(akacareertrajectory) 19. Coldcalling? Youhaveverylittle,ifany,controloverthecurrentordesiredcompensationo thepersonyougetonthephoneReferralrecruiting? Youhaveverylittle,ifany,controloverthecurrentordesiredcompensationo thepersonreferredtoyouTalentmining? Withtheabilitytocontroltheyearsandtypeofexperienceofthepeopleyou returninyoursearches,withindustryandmarketknowledge,youaregranted goodideaoftheircurrentcompensationlevelandwhattheywouldmostlikely bewillingtoacceptforanewposition 20. Coldcalling? YouhavenocontroloverthejobsearchstatusofthepersonyougetonthephoneReferralrecruiting? Youhavenocontroloverthejobsearchstatusofthepersonwhoisreferredtoyou Talentmining? Searchingdatabasescangiveyoutheabilitytotargetrecentlypostedresumesandrecentlycreatedsocialnetworkproles,andpeoplewhohaveeitherrecentlypostedupdatedtheirresumeorLinkedInproleareatahigherprobabilityofbeingavailable 21. Arandomsamplefromanysourcing methodotherthanjobpostingwill yieldmostlypassiveandnonjobeekers(2outof3) 22. 35%30%25%20%15%10%5%0% ActiveCasual Passive NotLooking BureauofLaborandStatistics JobSeekerStatus 23. TalentMiningaordsahigherdegree ofpredictivecontrolovercritical candidatevariablesoveranyother methodoftalentdiscovery 24. TalentMining ColdCalls/Referrals JobPosting100%80%60%40%20% 0% 25. Howmanywellmatchedandqualied candidatesperhourcanyoudiscover andidentifythrough: Coldcalling? Referralrecruiting? Talentmining? 26. CandidatesPerHour60 40 200TalentMining ColdCalls/Referrals JobPosting 27. Deep,StructuredData Resumes,LinkedInProles(some),CandidateRecords 28. Thedeeperandmorestructuredthe humancapitaldatayouaremining,hemorepredictivecontrolyouhave overcriticalcandidatematchingand qualicationvariables 29. Shallow,UnstructuredData PressReleases,Articles,Directories, LinkedInProles(many)Facebook,Twitter 30. Themoreshallowandlessstructuredhehumancapitaldatayouare mining,thelesspredictivecontrol youhaveovercriticalcandidate matchingandqualicationvariables 31. . Keyword/TitleSearch . ConceptualSearch . ImplicitSearch . NaturalLanguageSearch . IndirectSearch 32. Keyword/TitleSearch Unlteredkeywordandtitlesearching Lexicalsearch/matchfromjobtitle,description,andrequiredskills 33. Benets Itworks Easydoesntrequireanyskillorexperience Deepunderstandingofpositionsnotnecessary Easilyoutsourcedandautomated Lowcost 34. Challenges Itworksgivesfalsesenseofeaseandsuccess Supercialmatch CreatesHiddenTalentPools,excludingqualied candidateswhoexpressexperiencedierently Nocompetitiveadvantage 35. ConceptualSearch Synonymousandrelatedterms,concepts,andtitle Examples: Ruby,Rails,RoR,RubyonRails SafetyPhysician,AssociateDirectorofPVRM,PharmacovigilancePhysician SeniorDrugSafetyAssociate,GlobalSafetySeniorMedicalScientist,Globa Pharmacovigilance(Contract)Physician,andMedicalDirector 36. Benets Findsnew/additionalcandidates FindscandidatesthatLevel1TalentMiningcant Canbeautomated 37. Challenges Automatedsolutionsnotperfect Statictaxonomiesandquerycloudsrelatedbutnotrelevant,onceand doneapproach Requiresdeeperunderstandingofroles,skills,and technologies Onlyhumansourcerscanjudgerelevance,adaptivelylearn,andrun successivesearches Musthaveanawarenessofexcluded/missedcandidates 38. mplicitSearch Searchingforandidentifyingcandidatesbasedon whatisntexplicitlymentioned Noteveryonewillexpresstheirexperienceintheir resumeorprole.However,youcansearchfor predictivecluestopotentialexperience 39. mplicitSearch IfyouwereinneedofanAccountantwithexperiencewith SAP,afterperformingLevel1&2TalentMiningand searchingdirectlyforexplicitlyexpressedexperiencewith SAP,youcanexcludeSAPfromyourqueriesandinstead searchforpeoplewhohaveworkedatcompaniesthatyou knowuseSAPfortheiraccountingsoftware,leadingyout additionalqualiedcandidates 40. Benets Findsnew/additionalcandidates FindscandidatesthatLevel1andLevel2 approachescannotanddonotnd TapsintoHiddenTalentPools/DarkMatterof databasesandsites 41. Challenges Cantbeautomated Requiresdeepunderstandingofintrinsiclimitations ofresumesandproles Skillthatcanonlybedevelopedovertimefrom observationandexperience 42. NaturalLanguageSearch Userdenedsemanticsearchatthesentencelevel Semanticsisthestudyofmeaningoflanguageinherentatthe word,phrase,andsentencelevel.Sentencelevelsemanticsisth mostpowerfulandpredictive. Searchingforresponsibilitiesandcapabilities,notjus keywordsandtitles 43. Responsibilities=Verbs&Nouns Responsibleforinstallingandconguringover100Exchangeservers Auditedseveralnotforprotorganizationsfortaxcompliance CodedDRGstoinpatientmedicalrecords SystemdesignandperformancemodelingusingDoDAFnotation 44. Benets Produceshighlyrelevantresultsbytappinginto powerfulsentencelevelsemantics Searchingforresponsibilitiesandcapabilities,not justkeywordsandtitles TargetswhatpeopleDO,notjustwhattheySAY 45. Challenges Noautomatedsolutionexistsatthistime Requiressearchenginethatsupportsproximity Monster,Bing,Exalead,SomeATSs Example:manag*nearSAPnear(implement*ordeploy*) Requiresmoreexperiencedandinsightfulsourcers/ recruiterstoperform 46. ndirectSearch Searchingforthewrongpeopletondtheright people Targetingunder/overqualiedprofessionals Targetingpeoplewholikelyworkwithorknowtheprofessiona youneedtond Firstandonlyleveltodeviatefromsearchingdirectlyforwhatisneeded 47. ndirectSearch Targetingunder/overqualiedprofessionals 3yearoldresumeorproleofapersonwhohad2yearsofexperienc nowrepresentssomeonewith5yearsofexperience Under/overqualiedpeoplewiththerightskillsandexperiencemay knowotherswhoareatthetargetlevelofexperience Targetingpeoplewholikelyworkwithorknowthe professionalsyouneedtond Searchingforsoftwareengineerstoleadyoutosoftwaretesters 48. Benets LeadstodiscoveryofpeoplewhocouldnototherwisebefoundviaLevels14TalentMining Acceleratestargetedreferralrecruiting,(a.k.a.crowdsourcing) 49. Challenges Canbelaborious Notguaranteedtoproduceresults 50. TalentIntelligence &Analytics 51. ounderstandthenewconceptsof alentIntelligenceandTalentAnalyticisimportanttounderstandthe stablishedconceptsofBusinesstelligenceandAnalytics 52. sinessintelligence(BI)referstocomputerbased chniquesusedindiscovering,identifyingand alyzingmostlyinternal&structuredbusinessdata ininsightandtosupportbetterbusinessdecision aking Examples:reporting,businessperformancemanagement,textmining,andpredictiveanalytics 53. usinessIntelligence&Analyticsarenabledthroughthecollectionofdata rommultiplesourcesintoadata warehouse,whichisaspecializedandentralizedrepositorydata,designed ofacilitatereportingandanalysis 54. Computerbasedtechniquesusedin discovering,identifying,analyzingndgaininginsightintointernal&tructuredhumancapitaldatato makebetterhiringdecisions,faster 55. specializedandcentralizedrepositoryo umancapitaldataspecicallydesigned oenabletalentmining/intelligenceopulatedwithcurrentemployeedataan nformationfedfromsocialnetworks, esumedatabases,theInternet,etc. 56. ncontrasttoTalentIntelligence,ompetitiveIntelligenceisgainedbyathering,analyzinganddisseminating nformation,withorwithoutsupportfrom echnologyandapplications,andfocuseson mostlyexternalallsourceinformationandata(unstructuredorstructured) 57. TalentWarehousecontainstheeepest,moststructuredhumanapitaldataofanydatasource,andis moresearchable 58. hedeeper,morestructured,andmo earchablethedata,themorecontrol ouhaveoverexertingpredictive ontrolovercriticalcandidatevariable 59. DataD Struct Search 60. hereareTalentIntelligenceandHumanapitalAnalyticssolutionscurrentlyvailabletoday However,thesefocusexclusivelyon workforcemanagement,workforcelanning,retentionmodelingandtalentcorecarding 61. TherearenoTalentIntelligenceand Analyticssolutionsavailabletoday designedspecicallyforTalent Discovery,Identication,and Acquisitionbutthereshouldbe! 62. henextfrontierinHumanCapital& alentAnalyticsistoharnessthepowerfhumancapitaldataandtransformit ntoaninformationalandcompetitivedvantagebyenablingcompaniestouicklyandpredictivelydiscover, dentify,andacquiretoptalent 63. Whatifyoucouldincreaserevenue by66%usingyourdatatomake condent,factbaseddecisions?Source:SASad 64. Whatifyoucouldincreaserevenue by66%usinghumancapitaldatato makecondent,factbasedrecruiting decisions? 65. Whatifyoucouldseeuptoa400% ROIbyusingbusinessanalyticsto achieveyourgoals?Source:SASad 66. Whatifyoucouldseeuptoa400% ROIbyusingtalentanalyticsto achieveyourrecruitinggoals?