Vikram Talwar

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