How to Establish People Analytics as a Common Practice (An Academic Perspective)

Based on his PhD research, Patrick will share what factors drive the adoption and ongoing institutionalisation of People Analytics in organisations. During the presentation, Patrick will provide supporting examples based on his 10+ years of experience as a practitioner and global People Analytics leader. 

This presentation shares scientific research related to the adoption and institutionalisation of People Analytics, in combination with real-world experience. 

• Embedding and institutionalising People Analytics requires a significant shift in mindset, resources, and processes within an organisation
• Progress can be hampered by data availability, quality, and privacy concerns
• The skillset required to interpret and utilise this data effectively is often lacking, demanding significant upskilling or new talent acquisition
• Cultural barriers can also exist, with reluctance or resistance to data-driven decision-making common in organisations accustomed to traditional, intuition-based approaches
• Articulating a clear business case for people analytics and demonstrating its tangible value to secure ongoing investment and support can be a challenge.

Patrick Coolen

Partner

• The drivers for adopting and institutionalising people analytics as a common practice
• Learnings from the wider field of business analytics
• Introducing the FIT model for implementing People Analytics.

• Understanding Barriers: Gain a comprehensive understanding of the primary obstacles that hinder the adoption of people analytics within organisations
• Framework Introduction: Learn about a structured, proven framework that can guide the process of implementing and scaling people analytics in a diverse range of organisations
• Skill Development: Understand the key skills required in people analytics and strategies to develop or acquire these skills within the organisation
• Culture Change: Learn techniques to influence organisational culture towards embracing data-driven decision-making
• Building Business Case: Gain insights on how to articulate and demonstrate the value of people analytics to secure stakeholder buy-in and ongoing support.