It's common in almost all companies that at some point there's a need to move data between systems. Whether it's due to migrating management platforms, adding new processes, or even for internal audits. And often we encounter duplicate data; even in different systems, it can be stored differently. For example, in one system the state field might show São Paulo as "São Paulo," but another might store it as "SP." You've probably experienced a similar situation when searching for information.
Therefore, to ensure that data is moved accurately to its destinations, the following is used: data mappingData Mapping, also known as Data Mapping, is considered a first step in various data integration tasks.
Data mapping is the process of creating a map of data elements between two distinct data models. Serving as a template, it ensures that data reaches its destination accurately. It bridges the gaps between systems or data models so that they are... accurate and usable at your destination.
What is the importance of using Data Mapping?
Before data can be analyzed, it needs to be homogenized. This makes it accessible to decision-makers. The quality of data mapping determines the quality of the data that will be used for analysis and information gathering.
Whether it's for data integration, migration, or synchronization, as well as other data management tasks, it's considered an essential part. Because, if the mapping doesn't happen correctly, the data can be corrupted while being moved to its destination.
Its existence as a business function has been common for some time, but with the ever-increasing amount of data and sources, this process becomes more complex. Therefore, the need arises for automated tools to manage these large datasets. This ensures quality in the process and saves human labor time for a task that is becoming automated and a constant necessity for companies.
Data Mapping
NBCC Talent Search's Executive Search Data MappingThe Privacy Tools platform, offered by Privacy Tools, is essential for enabling control over the data lifecycle, from collection to disposal. Through the platform, you can centrally manage all of your organization's data, allowing for better management and control, enabling you to quickly identify necessary data and dispose of unnecessary data.
It allows you to create a map of the data flow, thus enabling a unified view of the data inventory and how that data was planned to comply with the... General Law of Data Protection (LGPD). Want to learn more about our solution? Make a free trial on our platform!
