Building AI-Ready Procurement Without Perfect Data​: Get Started with What You Already Have

Data is the foundation for AI. But what do you do when the foundation itself is a mess?

The pressure to bring AI into procurement is growing, and so is the gap between teams that are moving and teams that are waiting for their master data to be clean and ready. For most procurement organizations, that wait is driven by a single belief: that fragmented spend, inconsistent categorization, and unresolved master data issues have to be fixed before advanced spend analytics and AI can deliver real value. 

In this webinar, you'll hear directly from leaders at Bain & Company, The Hershey Company and Sievo on why the fix the data first belief is the single biggest barrier to procurement transformation, and what it actually looks like to build AI-ready analytics capability with the data you already have.  

Your speakers: 

Syed Naqvi, Sr. Manager of Procurement Data & Technology at The Hershey Company, shares what it took to build real analytics capability in the middle of real data complexity, and the results that followed. 

Brian Murphy, Partner at Bain & Company, draws on cross-industry experience to outline what separates procurement transformations that deliver from those that stall, and the pitfalls that most commonly get in the way. 

Johan-Peter Teppala, Chief Strategy & Transformation Officer at Sievo, makes the strategic case for why the shift from reactive to decision-making procurement is less about fixing your data foundation and more about how you use what you already have.  

What you’ll learn: 

• Why master data issues don't have to be resolved before implementing advanced spend analytics, and what to do instead  

• The pitfalls that most commonly derail procurement transformations, and how to avoid them 

• A first-hand look at how Hershey's built their procurement flight deck without waiting for perfect data 

• A personalized Procurement Data & Analytics Maturity assessment with concrete next steps for your organization 

Who should attend: 

• Procurement leaders and CPOs who feel held back by data quality and are not sure how to move forward with analytics or AI 

• Procurement data, technology, and analytics managers who own the data challenge day to day and are looking for a way out of firefighting mode 

• Procurement transformation and digitalization leads who are responsible for advancing their organization's analytics maturity