The Dangers of Dirty Data
Track: Other (AI, machine learning)
We all think we know what bad data looks like, but what is it and what are the consequences?
Susan Walsh, The Classification Guru has spent nearly a decade classifying, normalising and cleansing spend data and will share real-life examples of dirty data, and the consequences it has on the output, such as decision making, reporting, analytics, AI and machine learning.
She will share with you how to make quick, accurate checks and changes to your own data in excel, regardless of your level of experience, explain why data accuracy and maintenance is so important and implement best practices for this.
- The importance of data accuracy
- The consequences of dirty data
- How to ensure data accuracy
- Make sure your data has its COAT on
- How to spot check your data