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Ton Sluiter: Breaking Barriers and Leveraging Data

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Ton Sluiter's presentation at Textkernel's conference Intelligent Machines and the Future of Recruitment that took place on 2 June 2016 at the Beurs van Berlage in Amsterdam.

In this presentation Ton Sluiter discusses the way CV Search! from Textkernel has contributed to make the candidate databases of Star Brands and USG People accessible to one another. Furthermore, he takes a look at the extra insights USG People has gained from the parsed CVs.

Published in: Recruiting & HR
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Ton Sluiter: Breaking Barriers and Leveraging Data

  1. 1. Ton Sluiter, Manager Corporate Marketing Amsterdam, 2 June 2016
  2. 2. Around 100,000 people are employed via USG People every day with around 15,000 clients through our network of 4,800 employees in 725 branches in 4 countries. This makes USG People one of the largest players in the EuropeanHR market with a turnover of € 2.6 billion in 2015.
  3. 3. crawlers freemuim jobboards specific jobboards search engines direct own websites social media
  4. 4. The results of the introduction of GUS : • A major reduction on our expenses for job ads on the traditional job boards • More than 200,000 visitors every month, 43% returning visitors • Between 16,000 and 20,000 applications every month; • Our Star Brands placed approximately 7% to 10% of these candidates • Relevant insights on the labor market
  5. 5. • The Star Brands still make costs for subscriptions to job boards for the access of resumes • The use of our own front office application for search and match is poor • Handling the enormous amount of applicants in an efficient, effective and fast way • The scarcity of high qualified personnel • The full embracement of management to share databases between Brands
  6. 6. • Every applicant applies on 2.6 different vacancies of 1.5 different brands • Applicants use 6 different job boards in there search for a new job. Two-thirds is doing that daily 0% 20% 40% 60% 1 brand 2 brands 3 brands 4 brands 64% 22% 12% 2% Cross brand applications • The willingness to share is improved by providing insights
  7. 7. Based on a requirement list generated by a group of heavy users of job boards and Linkedin ,Textkernel’s CV Search was selected on: • Intuitive and user friendly interface • Quick implementation • Semantic search
  8. 8. After introduction mid February these are the numbers • 350,000 resumes available • 1,200 users • 15,000 searches a week • 2,500 to 3,000 new resumes every day • 1,800 placements so far • Most searched function: Callcenter agent • Cross label placements: 227 versus 225
  9. 9. 16% 66% 14% 3% 1% Usability very well well reasonable poor very poor
  10. 10. • The use of CV Search provided USG People with additional data, such as career paths Process operator previous job procesoperator 43% Machinebediende 18% productiemedewerker 12% magazijnmedewerker 7% teamleider 3% logistiek medewerker 3% Reparatie- en onderhoudsmonteur 2% heftruckchauffeur 2% manager proces en productie 2% chauffeur 2% administratief medewerker 2% voorman bouw 2% kwaliteitsmedewerker 2% verkoper 2% Callcenter agent previous job medewerker callcenter 19% administratief medewerker 14% medewerker klantenservice 11% verkoper 8% productiemedewerker 4% medewerker bediening 3% receptionist/telefonist 3% receptionist 3% secretaresse 3% caissière winkel, supermarkt, warenhuis 3% helpdeskmedewerker automatisering 2% magazijnmedewerker 2% medewerker schoonmaakbedrijf 2% medewerker commerciële binnendienst 2% Salesclerk next job verkoper 39% administratief medewerker 10% caissière winkel, supermarkt, warenhuis 6% medewerker bediening 5% productiemedewerker 4% medewerker callcenter 4% secretaresse 3% magazijnmedewerker 3% receptionist 2% medewerker schoonmaakbedrijf 2% vakkenvuller 2% medewerker klantenservice 2% receptionist/telefonist 2% bedrijfsleider 2%
  11. 11. Further development of CV Search with for example: • Pre matching on vacancies of the branches; • Create an interface with our front office application to add the selected candidates automatically; • Adding extra relevant internal data sources; • Connecting external data sources such as Indeed or Linkedin’s public profile.

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