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BREAKING BARRIERS AND LEVERAGING DATA Ton Sluiter, Manager Corporate Marketing Amsterdam, 2 June 2016

Ton Sluiter: Breaking Barriers and Leveraging Data

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Page 1: Ton Sluiter: Breaking Barriers and Leveraging Data

BREAKING BARRIERS AND LEVERAGING DATATon Sluiter, Manager Corporate MarketingAmsterdam, 2 June 2016

Page 2: Ton Sluiter: Breaking Barriers and Leveraging Data

USG PEOPLE, 2015 FACTS & FIGURES

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.

Page 3: Ton Sluiter: Breaking Barriers and Leveraging Data

OUR BRANDS

PROFESSIONALS—

SPECIALIST STAFFING—

GENERAL STAFFING—

BUSINESS SOLUTIONS—

Page 4: Ton Sluiter: Breaking Barriers and Leveraging Data

GUS: USG’S OWN JOB BOARD

Page 5: Ton Sluiter: Breaking Barriers and Leveraging Data

GUS: USG’S OWN JOB BOARD

Page 6: Ton Sluiter: Breaking Barriers and Leveraging Data

GUS: USG’S OWN JOB BOARD

Page 7: Ton Sluiter: Breaking Barriers and Leveraging Data

MARKETING: BIG IMPACT, LOW COST

crawlersfreemuim jobboards

specific jobboards

search engines

direct

own websitessocial media

Page 8: Ton Sluiter: Breaking Barriers and Leveraging Data

GUS: DATA COLLECTION INPUT FOR INNOVATION

Page 9: Ton Sluiter: Breaking Barriers and Leveraging Data

LOCAL LABOR MARKET INFORMATION

Page 10: Ton Sluiter: Breaking Barriers and Leveraging Data

THE RESULT

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

Page 11: Ton Sluiter: Breaking Barriers and Leveraging Data

THE CHALLENGES FOR 2016

• 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

Page 12: Ton Sluiter: Breaking Barriers and Leveraging Data

THE APPROACH

• 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

Page 13: Ton Sluiter: Breaking Barriers and Leveraging Data

THE SOLUTION

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

Page 15: Ton Sluiter: Breaking Barriers and Leveraging Data

THE NUMBERS

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

Page 16: Ton Sluiter: Breaking Barriers and Leveraging Data

THE NUMBERS

16%

66%

14%3% 1%

Usability

very well well reasonable poor very poor

Page 17: Ton Sluiter: Breaking Barriers and Leveraging Data

SERENDIPITY

• The use of CV Search provided USG People with additional data, such as career paths

Process operatorprevious jobprocesoperator 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 agentprevious jobmedewerker 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%

Salesclerknext jobverkoper 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%

Page 18: Ton Sluiter: Breaking Barriers and Leveraging Data

NEXT STEPS FOR FURTHER IMPROVEMENT

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.