[Base: global HR (n=1,288); global finance (n=1,045); global other (n=1,519)]
We also investigated the quality of people data available for understanding key people-related risks. We found that data quality is often highly rated, but risk management of some key people risk areas, such as turnover of senior roles, have low levels of effectiveness.
We also investigated the quality of people data available for understanding key people-related risks. We found that data quality is often highly rated, but risk management of some key people risk areas, such as turnover of senior roles, have low levels of effectiveness.
Table 1: Effectiveness of risk management types and correlation with analytics culture (%)

Conclusions and recommendations
We found that the transparency of workforce data is critical if it is to be used by line managers in their decision-making, in particular those in finance-related roles. Visibility of people data helps HR and non-HR in making decisions.
Another important finding from this study is the importance of people analytics skills and confidence to driving good outcomes. Regional variation shows how skills and confidence are related to outcomes, with SE Asia often leading practice with higher-quality analytics skills. The UK is particularly limited in both confidence and skills levels, highlighting a potential risk to future capability.
We also found that people risk, which is an emerging area in practice, is being understood through the application of people data. Issues such as people data security have become important given the recent implementation of the General Data Protection Regulations in the EU and are being measured using people data. However, there is still some way to go to improve how HR professionals articulate broader issues of people risk and opportunity.
This work highlights that there is much potential in developing people analytics practice, both in terms of the HR teams producing and consuming data, and the non- HR professionals still to realise the potential value of people data to their outcomes. HR must take the lead to establish people analytics as a core component of the future evidence-based profession. Only by doing this do we believe that the potential value long promised by people analytics will finally be realised.
Key recommendations for HR practice
We make the following key recommendations for HR practice:
- Integrate people analytics and new perspectives on people risk and opportunity: the risk and opportunity perspective offers a unique way to understand value creation and value capture by organisations. Using people data can help to uncover how this works in practice.
- Build stronger cross-functional relationships to improve the impact of people analytics: non-HR functions require encouragement to increase the use of people data in their practice and for long-term decision-making. HR leaders and business partners should use this opportunity to build relationships using people data, and focus on delivering business value.
- Build people analytics skills and confidence in the profession: an important story to emerge from this study is the impact of low skills and low confidence on the quality of outcomes from people analytics. HR leaders must invest in and develop the skills and confidence of HR professionals, and ensure they have the opportunities to undertake people analytics projects.