symposium 2016 analytics on hr strategy using evidence

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

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Page 1: Symposium 2016 analytics on hr strategy using evidence

Jon Ingham @joningham

Focusing analytics on HR strategy using evidence based insight

www.joningham.com/advice strategic-hcm.blogspot.com

Page 2: Symposium 2016 analytics on hr strategy using evidence

Jon Ingham• Strategic HR

consultant• Technology analyst• Symposium Events

faculty member, delivering ‘People Metrics & Analytics’

Introduction

Page 3: Symposium 2016 analytics on hr strategy using evidence

The Maturity Curve

Metrics

DescriptiveAnalytics

PredictiveAnalytics

Page 4: Symposium 2016 analytics on hr strategy using evidence

Issue = Spurious Correlations

Source: http://tylervigen.com/view_correlation?id=805 http://tylervigen.com/view_correlation?id=359

Page 5: Symposium 2016 analytics on hr strategy using evidence

What is Really Causal?

Page 6: Symposium 2016 analytics on hr strategy using evidence

An Alternative Approach

Page 7: Symposium 2016 analytics on hr strategy using evidence

HCM Strategy Map

Input/investment• Workforce• Management0me• Cost• HRfunc0on

Ac/vity• Resourcing• Development• Organisa0on• ER

Outcome• Human• Organisa0on• andSocialCapital

BusImpact• Opera0ons• Customers• Financial• Mission

Page 8: Symposium 2016 analytics on hr strategy using evidence

Objectives

Page 9: Symposium 2016 analytics on hr strategy using evidence

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

Page 10: Symposium 2016 analytics on hr strategy using evidence

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

Page 11: Symposium 2016 analytics on hr strategy using evidence

Analytics

Input/investment• Workforce• Management0me• Cost• HRfunc0on

Ac/vity• Resourcing• Development• Organisa0on• ER

Outcome• Human• Organisa0on• andSocialCapital

BusImpact• Opera0ons• Customers• Financial• Mission

Descriptive Analytics

Predictive Analytics

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Descriptive Analytics

StaffPercep0ons(SurveyResults)

FamilyandFriendsProgramme(Evalua0ons)

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Predictive Analytics

FamilyandFriendsProgramme(Evalua0ons)

StaffPercep0ons(SurveyResults)

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

Issues

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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

Page 16: Symposium 2016 analytics on hr strategy using evidence

For More Information

[email protected]

www.joningham.com / www.joningham.com/advice

strategic-hcm.blogspot.com

linkedin.com/in/joningham

twitter.com/joningham

07904 185134

Page 17: Symposium 2016 analytics on hr strategy using evidence

Or

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