World of DaaS Executive Community
Analysis of the job change data for 200+ leaders at leading DaaS companies
DaaShole Growth
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DaaShole Tenure by Function
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Big DaaS Functional Distro
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Mid DaaS Functional Distro
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Small DaaS Functional Distro
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Early DaaS Functional Distro
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Where are the DaaSholes?
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DaaShole Previous Companies
010987654321# of DaaS Leaders Previous CompanyGoldman SachsMicrosoftMorgan StanleyGoogleLiveRampMcKinsey & CompanyBain & CompanyCitiEYYahooDatavantExperianMicrosoftMicrosoftExperianExperianLiveRampLiveRampGoogleGoogleBain & CompanyBain & CompanyGoldman SachsGoldman SachsDatavantDatavantYahooYahooCitiCitiEYEYMorgan StanleyMorgan StanleyMcKinsey & CompanyMcKinsey & Company
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DaaShole Education
02010864218161412 Number of DaaS Leaders by Alma MatterHarvardCalStanfordUPennMITIndiana UniversityUniversity of ChicagoUniversity of MinnesotaYaleBrownCambridgeCarnegie MellonColumbiaCornellDartmouthGeorgetownJohns HopkinsNorthwesternPrincetonTel Aviv UniversityVillanovaHarvardHarvardCalCalUPennUPennStanfordStanfordMITMITYaleYaleUniversity of ChicagoUniversity of ChicagoUniversity of MinnesotaUniversity of MinnesotaBrownBrownCarnegie MellonCarnegie MellonCornellCornellPrincetonPrincetonTel Aviv UniversityTel Aviv UniversityCambridgeCambridgeVillanovaVillanovaColumbiaColumbiaGeorgetownGeorgetownNorthwesternNorthwesternDartmouthDartmouthJohns HopkinsJohns HopkinsIndiana UniversityIndiana University
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DaaShole Previous Functions
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DaaShole Tenure Distribution
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Notes on the source data from Live Data Technologies
Live Data Technologies's standard process (our patented IP) is generally referred to as SERP analysis. We query the major search engines (Baidu, Yandex, Bing, Google, etc.) for information on people and their employment. A shorthand way of thinking of this is that we are prompt engineering the search engines.
All of our data is sourced through these sources and is publicly available. We assess ALL the info that comes back from each query to the search engines. We use a proprietary process to perform validations for the current company and title for each person in our dataset on at least a twice-monthly basis, and as such pick up 1M+ job changes monthly. This means we have a) the most recent employment data for the white-collar workforce and b) a continuous stream of job change events. This allows us to report on movement at the person, title, function, job level, company, and industry levels.