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to constantly clean the database, preserving what is relevant and discarding what is incomplete, inconsistent or even outdated.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 kuwait whatsapp number code 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 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.
Discover the benefits of data sanitization
The advantages are numerous, the main ones include:
Increased productivity – data sanitization eliminates information that could generate conflicts and compromise analysis. With a validated database, the team works more assertively, reducing action time and obtaining faster results;
Optimization of results – with a clean database, it is possible to develop campaigns that are more focused on specific niches to ensure more expressive results. In addition, the entire team works with the same standard, ensuring the analyses;
Reduction of communication noise – with a clean database, the company can establish direct communication with the niches that interest it, which helps to build customer loyalty, also improving its image and reputation ;
Compliance with LGPD – when cleaning registration data, cleaning the public or private database, it is possible to check whether all the criteria of the General Data Protection Law (LGPD) are being observed and make any necessary corrections, in accordance with good compliance principles.
What are the differences between data processing and data sanitization?
Although they are often used to define the same process, data processing and data sanitization are different. Data processing is the name given to everything that can be done with the information in a database. For example: capture, analysis, research.
The term, in fact, is present in the LGPD and is closely linked to the protection and security of personal information.
Data sanitization is the process of cleaning this information, aiming to correct inconsistencies, failures, duplication, errors and other problems that may compromise future analyses.
The goal is to make the data more concise, clear, and precise so that it is easier to segment lists for future actions.
Count on BigDataCorp's expertise in data processing and sanitization processes
As we have seen, databases are not always ready to be used. In general, they capture information from several sources and this data invariably arrives with errors, missing or even duplicated information, among other situations.
That's why it's so important to rely on the expertise of those who not only know and have the technology and tools to organize databases, but also understand the needs of each company, helping them to effectively create a data culture .
BigDataCorp can help your company process data to improve performance in campaigns and in contact with customers, as well as helping you definitively enter the world of digital transformation .