Clean Data Drives AI Success in Marketing

Ansu Mathai Samuel, a senior business analyst at GoDaddy, explains how having clean and accurate data is very important for using AI in marketing.

He says that good data helps make better decisions and can increase a company's revenue.

For example, by improving data accuracy by 30%, his team helped GoDaddy make better business decisions and increase their revenue by $2 million.

He also talks about how poor data quality can cause problems, like making marketing campaigns less effective.

Samuel's work shows that having good data is like having a strong foundation for building successful marketing strategies.

He has written several research papers on this topic and has helped different industries, like healthcare and e-commerce, use better data to improve their operations.