Democratising People Analytics Through Digital Transformation

Adam Tombor
Thursday, April 25, 2024, 1:15 PM - 1:55 PM

This session showcases and explores Julius Baer's journey of digital transformation and democratisation of people analytics, led by Adam Tombor, who transitioned from UBS to spearhead this initiative. Focused on building sustainable foundations, scaling services, and unleashing the power of data, Adam outlines the strategic steps taken to modernise HR processes and improve decision-making through advanced analytics.

With a major organisational restructure underway, Julius Baer faced significant challenges in reporting and analytics. The transition from manual, repetitive tasks to a streamlined, digital ecosystem exemplifies how businesses can leverage data analytics for strategic decision-making and operational efficiency. This session will assert the criticality of adopting digital transformation in HR to enhance the employee experience and contribute to organisational success.

This session will explore:

  • Journey to Digitalisation: Transitioning from manual processes to a digital ecosystem.
  • Building Sustainable Foundations: Establishing data warehousing capabilities and self-service platforms.
  • Scaling Services: Extending analytics access across the organisation, focusing on security models and real-time data availability.
  • Unleashing the Power of Data: Shifting the team's focus from manual tasks to strategic, insight-driven analytics.
  • Predictive Analytics and Workforce Planning: Using data to anticipate and act on future workforce trends and costs.

Learning outcomes:

  • Strategies for digitising and democratising people analytics.
  • The importance of building sustainable data foundations for scalable services.
  • Techniques for enhancing data security and compliance in HR analytics.
  • Approaches to predictive analytics for effective workforce planning and expense forecasting.
  • Real-world implications of digital transformation on business outcomes and decision-making processes.