Dirty Data: How incorrect and false data leads to losses for companies
Dirty Data is a concept that encompasses outdated, incomplete, erroneous and false data. There are many factors involved: changes, data entry errors, or even the possibility that a client has lied. The presence of ‘dirty data‘ in companies translates into economic losses. The insurance and banking sectors are particularly sensitive to this problem and at […]
