Designing a High-Impact People Analytics Function: Skills, Data, Governance, and Culture

Establishing the Operating Model That Turns Workforce Data into Strategic Advantage


Many organisations invest in people analytics tools without establishing the operating model required to deliver value. Dashboards proliferate, data quality issues persist, and analytics outputs often fail to influence decision-making. The result is frustration, scepticism, and underutilised capability.

A high-impact people analytics function is not defined by software alone. It is shaped by skills, governance, data architecture, and organisational culture.

Skills Beyond Technical Analytics

Effective people analytics professionals require a hybrid skill set. Technical capability in data analysis must be complemented by business acumen, ethical judgement, communication skills, and an understanding of organisational behaviour.

The GLOMACS People Analytics course develops this blended capability. Participants learn how to translate analytical findings into narratives that resonate with leaders, challenge assumptions using evidence, and apply analytics within real organisational constraints.

Data Quality, Integration, and Interpretation

Workforce data is often fragmented across systems, inconsistent in definition, and vulnerable to misinterpretation. Without robust data governance, analytics outputs can mislead rather than inform.

The course addresses data foundations explicitly. Participants explore data integrity, validation, integration across HR and business systems, and the limitations of people data. This ensures analytics outputs are grounded in reality and aligned with organisational context.

Governance, Ethics, and Responsible Analytics

As analytics becomes more sophisticated and automated, governance becomes non-negotiable. Organisations must ensure that workforce analytics respects privacy, avoids discriminatory outcomes, and aligns with employment law and ethical standards.

The course embeds governance principles throughout. Participants learn how to define accountability, establish ethical review processes, and ensure human oversight of analytics-driven recommendations, particularly when agentic AI is involved.

Building an Analytics-Driven HR Culture

People analytics succeeds when it is trusted and used. This requires cultural alignment, leadership sponsorship, and clarity on how analytics supports rather than replaces human judgement. Through practical exercises and applied discussion, the course helps participants design analytics approaches that build confidence, encourage adoption, and enhance decision quality across the organisation.

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