Building AI-Ready Financial Data Foundations

​While many finance teams are eager to adopt AI, the effectiveness of these tools depends entirely on the quality of the underlying data infrastructure.

​This session focuses on establishing the rigorous data foundations required to make the most of emerging technologies and increase overall decision quality.

​We will move beyond the surface level to address the structural requirements for a modern, high-functioning finance department.

​The session covers the following core pillars of data readiness:

• ​Establishing Data Hierarchies
  How to organize financial information - from Legal Entities and Accounts to Business Units and Product lines - to ensure the connections and granularity necessary for complex analysis.
  
  

• ​The Six Pillars of Data Cleanliness
  A practical checklist for ensuring data is Accurate, Consistent, Complete, Uniform, Relevant, and Timely.
  
  

• ​Standardizing the "Single Source of Truth"
  Strategies for defining and maintaining a central repository of metrics to prevent internal debates over data definitions and ensure every department is aligned on KPI calculations.
  
  

• ​A Holistic Framework for Metric Selection
  Using a six-step process - Strategy, Success, Drivers, Ideal, Availability, and Feasibility - to identify which indicators truly drive business value before attempting to automate them.
  
  

• ​Actionable Variance Analysis
  Shifting the focus from simply explaining differences in performance to recommending concrete actions that improve business outcomes.
  
  
  ​Please note: To facilitate this event, we will share your registration information, including your email address, with the team of our sponsor, Maxio. You are accepting these terms by signing up for this event.