Presentation at Symposium's Mission Critical HR Analytics 2016 conference

1. Jon Ingham @joningham
Focusing analytics on HR strategy
using evidence based insight
www.joningham.com/advice
strategic-hcm.blogspot.com

2. Jon Ingham
• Strategic HR
consultant
• Technology analyst
• Symposium Events
faculty member,
delivering ‘People
Metrics & Analytics’
Introduction

3. The Maturity Curve
Metrics
Descriptive
Analytics
Predictive
Analytics

4. Issue = Spurious Correlations
Source: http://tylervigen.com/view_correlation?id=805
http://tylervigen.com/view_correlation?id=359

5. What is Really Causal?

6. An Alternative Approach

7. HCM Strategy Map
Input / investment
• Work force
• Management 0me
• Cost
• HR func0on
Ac/vity
• Resourcing
• Development
• Organisa0on
• ER
Outcome
• Human
• Organisa0on
• and Social
Capital
Bus Impact
• Opera0ons
• Customers
• Financial
• Mission

8. Objectives

9. Staff perception – generic (eg engagement) or specific
survey, focus group
Family & Friends programme – survey of awareness
and perception, numbers taking up, evaluations of
effectiveness
Workforce management system – whether
implemented (yes / no), meeting time and budget,
judgments re needs met
Metrics / Evidence

10. Evidence
The starting point for evidence-based management is that
management decisions should be based on a
combination of critical thinking and the best available
evidence. And by ‘evidence’, we mean information, facts
or data supporting (or contradicting) a claim, assumption
or hypothesis. Evidence may come from scientific
research, but internal business information and even
professional experience can count as ‘evidence’.
Source: https://www.cebma.org/faq/evidence-based-management/
Also see Denise Rousseau and Rob Briner, 2014
http://www.cebma.org/wp-content/uploads/Evidence-Based-Practice-The-Basic-
Principles.pdf

11. Analytics
Input / investment
• Work force
• Management 0me
• Cost
• HR func0on
Ac/vity
• Resourcing
• Development
• Organisa0on
• ER
Outcome
• Human
• Organisa0on
• and Social
Capital
Bus Impact
• Opera0ons
• Customers
• Financial
• Mission
Descriptive
Analytics
Predictive
Analytics

12. Descriptive Analytics
Staff Percep0ons
(Survey Results)
Family and Friends
Programme (Evalua0ons)

13. Predictive Analytics
Family and Friends
Programme
(Evalua0ons)
Staff Percep0ons
(Survey Results)

14. • No data about the future
• Danger extrapolating from the past (complexity)
• May not be any data from the past either
Issues

15. Predictive analytics may need to be:
• Continual case (start to measure now to do analytics
later)
• Comparative case (use benchmarking and research
to show benefits other organisations have achieved)
Potential Solutions

16. For More Information
info@joningham.com
www.joningham.com / www.joningham.com/advice
strategic-hcm.blogspot.com
linkedin.com/in/joningham
twitter.com/joningham
07904 185134

17. Or
See: http://www.symposium.co.uk/event/people-metrics-and-analytics-wpm12/