Data Hygiene

Data Hygiene Refers To All Functioning Processes That Ensure Data Is Devoid Of Contamination.

Data can be considered dirty when it consists of errors; it is outdated, duplicate or incomplete.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.

Importance of Ensuring and Maintaining Data Hygiene

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.

Processes That Ensure Flawless Data Hygiene

Ensuring that your team maintains precise data hygiene is crucial. And for that, the following two processes are the most fundamental

Content marketing strategy 62 %
Digital consultancy 86 %
Mobile Marketing 52 %
Reputation management 40 %

Testimonials

Your service has been efficient and thorough – we greatly appreciate the quick response time.
Lisa Branco
Lisa Branco
Senior Director, Marketing and Demand Generation
Thanks a lot – the Cardiologist list has worked out fine. Quality was in line with our expectations.
James Corrigan
James Corrigan
Inside Sales Manager
I just wanted to thank you and your team for all of the great you have done for us this year! In my opinion, our database has never been better and I look forward to seeing what brings us in future!
Carrie McClain
Carrie McClain
Demand Generation Marketing Associate
Thank you for all of your help and the wonderful customer service that we have received from your team.
Chad Hughson
Chad Hughson
Assistant Product Manager
FinFox Technologies provides good and solid data. And, at the most economical price I could find. I would definitely work with them again.
John Kane
John Kane
Partner

Most Effective Data Hygiene Practices

Data hygiene practices must be given primary importance. And some of the best data hygiene practices include initiating an audit, focusing keenly on details, eradicating unnecessary information, and keeping data hygiene on top of one mass cleanse
Key Coding
It involves associating an inevitable identifier to every record in the files, which is for noting the origin and significance.
Deduplication
This process involves removing names, emails, addresses and records of telephones that are present multiple times in the system.

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