Data can be considered dirty when it consists of errors; it is outdated, duplicate or incomplete. In the simplest words, we can say dirty data is incorrect data.
It is vital to ensure and maintain data hygiene because clean data enhances efficiency in generating leads, correct personalization’s, proper lead tracking, and optimally handling customer service issues.
Ensuring that your team maintains precise data hygiene is crucial. And for that, the following two processes are the most fundamental