Senior Analyst, People Analytics
Predictive analytics is a powerful tool to generate insights on future outcomes like employee performance with a significant degree of precision. Organisations increasingly leverage this to detect risks and opportunities and inform targeted interventions. However, the lack of capability in implementing predictive analytics is one of the key reasons that is holding back HR from optimising their people data. This session will introduce the audience to the key processes involved in building a predictive model and the critical success factors to transform data into meaningful performance insights.
This session will explore:
- What is predictive analytics, and which business challenges can it help to address?
- How do you perform predictive analytics to generate meaningful insights that will drive executive action?
- An overview of Predictive Analytics and HR use cases
- The process involved when doing predictive analytics, and who to engage
- Machine Learning with R: Data preparation, transformation, and model-building – common challenges and solutions
- Generating and communicating insights to drive action in relation to employee performance management.
- Identify situations in HR where predictive analytics could be used
- Learn machine learning tools and techniques in building predictive model of performance
- Communicate predictive analytics insights effectively.
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Michaela is a people research scientist, culture leader and trusted advisor who has extensive experience in using data to make actionable insights and drive impactful enterprise-wide changes. She has a solid track record of steering people strategy and programs, leading cross-functional teams and delivering analytics solutions to improve employee experience and manage organisational transformation in global consumer goods companies, private equity firm, retail and tech.
Before pivoting to Workforce Analytics, she held various leadership roles in Organisation Development, Talent Management, Learning and Development and Client Services which built her domain expertise. At Equinix, she partners with Global Talent Management and Organisation Effectiveness, Sales and Customer Experience organisations and works on projects with the goal to improve employee and customer experience and business performance.
Her strong academic background also enabled her to provide solutions that are research and theory based. She completed the Harvard Business Analytics Program (Boston, Massachusetts, USA) in 2019 and earned master’s degrees in Business Administration (Regis University Colorado, USA) and Industrial-Organizational Psychology (University of the Philippines). She is also an active member of Society of Industrial Organizational Psychology (SIOP).