1. 1. MIA Data Colin Minto, Group Head Resourcing and HR Systems, G4S Chair, Direct Employers Association (DEA)
2. 2. 620,000+ people 125+ countries One of the worlds largest private employers Worlds leading international security solutions group Recruit 200,000+ per annum Growth and turnover Recognised innovator and multi-award winner in terms of resourcing strategy and delivery G4S Plc
3. 3. DEA Europe Trade Association for employers Championing the resourcing agenda and practitioners Educate policy makers business leaders practitioners job seekers supply chain 50+ members, 720 USA alliance members
4. 4. MIA Data Missing in Action? Meaningful Does it tell you something of value? Does it help you explain something? Interpretable Can you read it? Can you understand it? Actionable Can you do something with it? Can you influence or make a decision using it?
5. 5. Candidates Find jobs easily Realistic view of role and G4S Apply easily Be informed and engaged Customers Staff fitting unique needs Stable workforce Smooth start ups Know we have a pipeline Regulators Ensure equality Measure Enforce Be respected partner G4S Managers Focus on day jobs See whats going on Different- iate G4S Save and sell Discovery is Data Too! G4S Plc Hire very best Promote Employer Brand Built talent pools Save and sell G4S Resourcing Be proactive Best practice and standards Innovate and automate Measure
6. 6. Aggregated Job Board / Community = Internal and External Career Centres 100000s Job Seekers ATS 1 Breaking Convention! ATS 2 ATS 3 ATS 4 Jobs People Jobs Matched Candidates Jobs Matched Candidates Jobs Matched Candidates Jobs Matched Candidates Global Searchable Shared Candidate Database Matched JobsApplications Diverse, Inclusive and General Job Boards and Social Media ChannelsPeople 88%
7. 7. Interpretable/Actionable Data
8. 8. Interpretable/Actionable Data
9. 9. Interpretable/Actionable Data
10. 10. Interpretable/Actionable Data
11. 11. In Good Company
12. 12. Interpretable/Actionable Data
13. 13. keyword % male ave. age reach fresh prince 44.4 24.3 7.2m #Milk 27.1 35.3 4.8m #Ryan Dunn 52.2 23.8 2.8m #Smoking 56.4 28.3 1.6m rip ryan dunn 20062011 52.6 23.4 1.6m #Nerd 50.7 27.5 1.5m #Johnny Knoxville 61.5 24.0 1.0m stepbrothers 50.0 23.9 680k rubberduckzilla 38.5 22.5 520k swag 41.2 23.8 420k eyes set to kill 39.2 21.4 360k manchester united fc 69.8 27.6 40k * Public data not related to G4S employees! Age 18 - 49 who like Sports and Security Guards also like.. Future Now
14. 14. Predictive analytics (example) 1. 2,163 email addresses loaded into Facebooks lookalike audience tool 2. Facebook matches email addresses with a user profile >1,300 confirmed anonymous matches 3. Extrapolated 1,300 into lookalike audience representing a 373,500 anonymous target audience in UK 4. Socially profile and index the audience demographics & interests
15. 15. MIA Data - Takeaways Establish your business challenges and if data can inform the solution If so work out what data is Meaningful! Put in the mechanisms and processes to capture and manage the data flow and articulation Making sure the outputs are Interpretable! Believe in the outputs and execute accordingly As long as they are actionable!
16. 16. MIA Data Questions? Colin Minto, Group Head Resourcing and HR Systems, G4S Plc Executive Chairman, Direct Employers Association Europe colin.minto@g4s.com linkedin.com/in/colinminto @colinminto @DEAEurope