Symposium 2016 analytics on hr strategy using evidence
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Transcript of 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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Jon Ingham• Strategic HR
consultant• Technology analyst• Symposium Events
faculty member, delivering ‘People Metrics & Analytics’
Introduction
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The Maturity Curve
Metrics
DescriptiveAnalytics
PredictiveAnalytics
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Issue = Spurious Correlations
Source: http://tylervigen.com/view_correlation?id=805 http://tylervigen.com/view_correlation?id=359
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What is Really Causal?
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An Alternative Approach
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HCM Strategy Map
Input/investment• Workforce• Management0me• Cost• HRfunc0on
Ac/vity• Resourcing• Development• Organisa0on• ER
Outcome• Human• Organisa0on• andSocialCapital
BusImpact• Opera0ons• Customers• Financial• Mission
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Objectives
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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
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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
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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
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For More Information
www.joningham.com / www.joningham.com/advice
strategic-hcm.blogspot.com
linkedin.com/in/joningham
twitter.com/joningham
07904 185134
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Or
See: http://www.symposium.co.uk/event/people-metrics-and-analytics-wpm12/