Khiv Singh

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: 

• How leading Shared Services organizations approach productivity – real-world insights from industry experts. 
• Case studies on how global businesses drive sustainable productivity – bridging workforce efforts with measurable outcomes. 
• Strategic actions for organizations at different maturity levels – a clear roadmap to enhance workforce efficiency. 
• The role of workforce analytics in shaping the future of work – from visibility to execution. 

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.

One of the most overlooked risks in standing up a new SSO is the lack of a cohesive data strategy. Early-stage centers often face fragmented systems, unclear data ownership, and inconsistent reporting—challenges that can slow progress, hinder automation, and erode stakeholder trust. The solution? Establish a data-first mindset from the start. Together we will learn how to build a unified, enterprise-wide data foundation that supports decision-making, process visibility, and future AI-readiness.

• Dive into best practices for establishing centralized, flexible data infrastructure that aligns with your operating model and functional scope
• Define data stewardship roles, create accountability structures, and ensure high-quality inputs across functions
• Learn how to identify and map critical data flows across core processes like P2P, O2C, R2R, and procurement to eliminate blind spots and silos
• Explore tools and techniques for consolidating reporting, enhancing analytics capabilities, and building a single source of truth
• Learn from early adopters who struggled with disconnected systems and how they course-corrected to create actionable data ecosystems