The Shared Services landscape is evolving at an unprecedented pace. In today’s hyper-competitive business environment, organizations must master talent retention, process standardization, and digital transformation to stay ahead. While productivity has always been a key metric, workforce analytics is now reshaping how businesses measure, optimize, and sustain performance at scale.
This exclusive workshop, hosted by ProHance, will explore the power of data-driven productivity strategies and how organizations can leverage workforce analytics to enhance operational efficiency and long-term workforce performance.
What You Will Learn:
This session will feature exclusive insights from industry research, providing a deep dive into the latest productivity trends, challenges, and strategic playbooks tailored for Shared Services and Global Business Services (GBS) organizations.
Most GBS transformation journeys start with the right intent and ingredients - RPA, process mining, GenAI, and automation. Millions are invested in these initiatives with the goal to improve productivity; and yet the expected gains remain elusive. Leading GBS organizations may have discovered the fundamental element that bridges the gap between transformation investments and actual results. In this session, find out how empirical, verifiable data has become the decisive factor separating successful GBS transformations from the rest.
Action Items:
Tail spend management is often overlooked but represents a significant opportunity for cost reduction and efficiency improvements. In fact, SSON R&A finds that only 30% of indirect spend is classified to a sufficient level for strategic sourcing. In this session, we will delve into cutting-edge techniques for uncovering and addressing the hidden costs in your tail spend. Discover how to harness data and implement innovative strategies to transform your procurement processes and achieve substantial savings. Tangible takeaways include:
Check out the incredible speaker line-up to see who will be joining Fabiano.
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