Data Hygiene

What is data hygiene?

Data hygiene refers to the process of keeping data in a database clean by verifying the correctness of records and eliminating errors. These errors can range from misspellings and incorrect punctuation to duplicate records, obsolete/incomplete data, and incorrect parsing of record fields from different systems.

What are the benefits of data hygiene for companies?

The many benefits of a clean database include:

Improved decision making. By cleaning data for accuracy and quality, you can create accurate analytics that lead to better, more informed, and confident business decisions.
The best quality of customer service. A clean database helps deliver the right message to the right audience at the right time, which can optimize sales and improve brand perception.
Improved performance. Data cleaning removes perishable information and provides data users with accurate information to better understand and interact with business users and customers.
brand protection. By avoiding contact with unnecessary recipients, good data hygiene can help maintain brand integrity and reputation.

Literal Meanings of Data Hygiene

Data:

Meanings of Data:

(plural: data) A measure of something on a scale that both the writer (person or device) and the reader (another person or device) can understand. The scale is set arbitrarily, e.g. 1-10 times one, 1-100 times 0.1, or just true or false, on or off, yes, no or maybe, etc.
(plural: data) A fact known by direct observation.
(plural: data) the starting point from which conclusions are drawn.
(plural: dates) A fixed reference point or coordinate system.

Hygiene:

Meanings of Hygiene:

The science of health, its enhancement and maintenance.
Those conditions and practices that enhance and maintain health.
Purity.
(macro) The property of having an extension that is guaranteed not to cause accidental handle capture.