Trash In, Trash Out: Generating High Quality Data Across Every Region, Business Unit, & Department
- Examining how inconsistent field reporting, duplicate entries, and legacy behaviors undermine analytics, and how to educate teams on why clean, accurate data matters for them
- Exploring methods to passively collect accurate, actionable field data beyond traditional systems and developing strategies for verifying field-generated data to balance accuracy with practicality
- Leveraging AI and machine learning to convert qualitative observations into structured, measurable data for predictive and productivity-focused analytics