Building Trust and Connectivity during Change using Analytics
In this podcast, we delve into the critical role of building trust and connectivity within the workplace through data-led initiatives. Drawing from experiences at leading industry conferences and discussions with prominent figures in the field, our guest sheds light on the importance of people analytics, HR tech transformation, and the establishment of a robust data strategy to anchor sustainable change. The conversation focuses on practical examples of how organisations can employ data, analytics, and AI to realise significant transformations, highlighting operational execution, collaborative efforts across departments, and the tangible outcomes achieved.
The aim of this interview is to offer insights into the merging of data-driven strategies with human-centric values to cultivate a culture of trust and guide organisations towards enduring change.
This session will explore:
- Insight into the Crucial Role of Trust and Connectivity: Understanding the foundational importance of trust and connectivity in driving organisational change and how data-led initiatives can bolster these elements.
- Strategies for HR Tech Transformation: Learning about the integration of people analytics and HR technology to support and sustain organisational change.
- Development of a Robust Data Strategy: Acquiring the knowledge to establish and implement a data strategy that aligns with organisational values and objectives, ensuring sustainable change.
- Practical Implementation Techniques: Gaining insights into the execution of data-driven strategies, including examples of successful organisational transformation and the significance of cross-departmental collaboration.
- Analyzing Outcomes and Adjusting Strategies: Understanding the tangible outcomes of data-led initiatives, including how to evaluate success and learn from initiatives that fall short of their goals.
- Scalability of Data-Driven Approaches: Learning how these strategies can be adapted to different organisational sizes and types, and the potential challenges encountered in varying cultural contexts.
- Integration of Data, Analytics, and AI in Change Management: Exploring how to incorporate data insights, analytics, and artificial intelligence into change management strategies for better decision-making.
- Crafting a Human-Centred Data Strategy: Developing an approach to balance quantitative data with qualitative, human-centric considerations in facilitating organisational change.
- Preparing for Future Trends: Identifying upcoming trends in organisational change and development, and strategising to meet the challenges of a digital and data-driven workplace environment.
Learning outcomes: