To do this, it is necessary to constantly clean the database, preserving what is relevant and discarding what is incomplete, inconsistent or even outdated. The IT team can determine the frequency of this cleaning, according to the relevance of this information to the company's strategies.
There is information that can change over time, such as address, telephone number and place of work, as the validity period of this data can be very short. In this content, you will learn about the data sanitization process and the main benefits for businesses.
Summary:
What is data sanitization?
How is registration data sanitized?
Discover the benefits of data sanitization
What are the differences between data processing and data sanitization?
Count on BigDataCorp's expertise in data processing and sanitization processes
What is data sanitization?
It is a process of cleaning and organizing data into “patterns” so that they can be easily accessed and used in analyses more assertively.
As we know, every database is made up of information obtained from various sources. These include data such as names, street names, neighborhoods, cities, etc. Industry executives estimate that 40% of the information collected is compromised and may expire .
Therefore, data sanitization, which is done by consulting other banks that contain updated information precisely to promote the standardization and organization of all this data, is essential because each collection platform collects it in different ways.
In practice, data sanitization is a standardization. Information is standardized, such as the spelling of street names, neighborhoods, cities, regions, separation between individuals and legal entities, and writing standards (capital and lowercase letters are used), for example, formatting them according to a single standard.
It may seem like an unimportant detail, but it makes russian phone numbers a difference and reduces the chances of error when searching for information or selecting a mailing list for which the company will develop an action or promotion.
How is registration data sanitized?
Thanks to Artificial Intelligence and machine learning, there are now technologies available to clean up records. These technologies search for and locate the information that needs to be cleaned up. Learn about the processes for cleaning up records:
Deleting duplicate data and scaling the size – before cleaning, the company believes it has a much larger database. By eliminating duplicates, it can scale the actual size of this database for future actions;
Standardization of the database – the next step is to standardize the information to eliminate errors. Furthermore, as they are classified on a numerical scale from zero to 100, it is possible to locate the information of interest more easily;
Elimination of discrepant data and database enrichment – eliminate all information that may be the result of typing or interpretation errors. Complete the missing fields in your database. This reduces the chances of errors when creating mailings for company actions. This process of completing the missing data is called database enrichment. This helps to improve data processing and visualization.
Validation of previous processes – it is important to have your IT team validate previous processes, performing tests that prove that data sanitization was complete. A professional who performs database quality control can do this.