Session Outline
This session explores why data should be treated with the same care and thoughtfulness as people. Drawing analogies to hiring and managing employees, it highlights the importance of understanding, assessing, and setting clear expectations for data to ensure quality and reliability. By adopting this mindset, organizations can address common data quality challenges and unlock more effective decision-making.
Key Takeaways
- Highlight common misconceptions about data quality and its management.
- Emphasize the importance of understanding, assessing, and defining data requirements.
- Show how treating data with the same care and thoughtfulness as people leads to better outcomes in analytics and decision-making.
- A best-in-class data modeler best tips and trix and common pitfalls
