Explore the intersection of data management and process excellence within shared services. Dive into the critical relationship between IT and analytics teams and how to address challenges when strategy is lacking. Discussions will cover effective models for integrating Master Data Management (MDM) and data governance as foundational elements for success. Examine power dynamics in data creation, inherent biases, and their impact on analytical accuracy. While AI tools draw attention, this conversation emphasizes that robust data practices remain the backbone of successful automation and operational efficiency, ensuring reliable, bias-free analysis. 

Key Takeaways: 

• Strategies for balancing IT and business roles in shared services to drive aligned data practices. 
• Practical frameworks for establishing data governance that integrates smoothly across departments. 
• Methods to identify and mitigate biases in your data sources before they influence key decisions. 
• How to design operational processes that leverage strong MDM for faster, more consistent outcomes. 
• Best practices for assigning data ownership to prevent the "garbage in, garbage out" problem.