W4: Human Capital Analytics Technology: Understanding Multiple - - PowerPoint PPT Presentation

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W4: Human Capital Analytics Technology: Understanding Multiple - - PowerPoint PPT Presentation

W4: Human Capital Analytics Technology: Understanding Multiple Stakeholder Perspectives Edward Houghton Matthew Naudi CIPDs Research Advisor for Human Capital Metrics Chief Group HR Manager Allied Group and Standards Human Capital


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W4: Human Capital Analytics Technology: Understanding Multiple Stakeholder Perspectives

Edward Houghton

CIPD’s Research Advisor for Human Capital Metrics and Standards

Matthew Naudi

Chief Group HR Manager Allied Group

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Human Capital Analytics Technology

Understanding Multiple Stakeholder Perspectives

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Our purpose

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Championing better work and working lives... ...by improving practices in people and organisation development... ...for the benefit of individuals, businesses, economies and society.

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Three new analytics reports

The CIPD perspective

  • What is HR analytics?
  • What is does theory and practice

evidence say?

  • What can be done to improve?
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Section 1: What is HR analytics and how does it relate to evidence?

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What is HR analytics?

Process using statistical techniques linking HR practices to organisational performance (Lawler et al, 2004) A number of analytics processes for analysing HR data (Harris et al, 2011) An evidence-based approach for making better decisions on the people side of business and consists of an array of tools and technologies, ranging from simple reporting of HR metrics all the way up to predictive modelling (Bassi, 2011) A way to measure and monitor individual performance (Mondare et al, 2011) A group of 18 practices which are used by organisations to measure the workforce (Falletta, 2014)

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A comprehensive definition…

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What is HR analytics?

“HR analytics consists of a number of processes, enabled by technology, that use descriptive, visual and statistical methods to interpret people data and HR processes. These analytical processes are related to key ideas such as human capital, HR systems and processes, organisational performance, and also consider external benchmarking data” (Marler and Boudreau 2017).

Ref: Centre for Evidence Based Management: www.cebma.org

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What is evidence?

8 What is evidence?

Why do we need it? Evidence in management comes 4 recognised forms:

  • 1. Outcomes of scientific research
  • 2. Organizational data and analytics
  • 3. Professional judgement and experience
  • 4. Stakeholders’ values and concerns

To make better decisions: “evidence- based decision making is the use of critically appraised evidence from multiple sources to increase the likelihood of a favourable outcome.”

Ref: Centre for Evidence Based Management: www.cebma.org

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Section 2: How does HR practice use analytics and evidence?

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We use different types of evidence at work…

  • Advice from colleagues
  • Intuition
  • Management literature
  • Results from scientific research
  • Data, facts and figures
  • Judgement of other experienced people
  • Insights from external experts (consultants)
  • Values and concerns of people affected by the decision
  • Personal experience
  • Knowledge from formal education
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How do YOU use evidence at work?

  • Turn to the person next to you and discuss which of these evidence types you use at

work each day:

  • Which are MORE frequently used by HR?
  • Which are LESS frequently used by HR?

Advice from colleagues Judgement of other experienced people Intuition Insights from external experts (consultants) Management literature Values and concerns of people affected by the decision Results from scientific research Personal experience Data, facts and figures Knowledge from formal education

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HR using different types of evidence

Reference: CIPD HR Outlook Winter 2017

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Section 3: Understanding multiple perspectives

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The HR profession needs to improve

HR How satisfied are your internal stakeholders with HR analytics? Non-HR How satisfied are you with the analytics HR provides?

Reference: CIPD HR Outlook Winter 2015

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What business users need…

Corporate alignment Trust Agility Tech mobility

Reference: SAP Analytics 2017

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Section 4: How to improve

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Barriers for improved analytics practice

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Recommendations for improving analytics practice

1. Articulate the importance of human capital, social capital and intellectual capital through analytics. 2. Invest in high quality benchmarking studies which follow robust academic methods 3. Improve empirical evidence of the impact and risks of people analytics 4. Build human capital into the future people profession’s body of knowledge

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Thanks Any questions?