Data extraction
In the universe of the General Data Protection Law (LGPD),
data mapping has become an essential practice to ensure the security and privacy of personal information in companies. This measure not only helps to identify where and how data is stored, but also ensures that it is used properly and in compliance with current legislation.
Understanding what data mapping is is the first step for any organization that wishes to be in compliance with the LGPD and avoid risks of leaks and penalties.
In this article, we will explore the concept of data mapping, its importance, and the steps required to implement it efficiently in your company.
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What is Data Mapping?
Whether it's business, research, or even daily life, data plays a crucial role. But how do companies manage and understand all this information? That's where data mapping comes in.
Data mapping is the process of connecting different data sources and making them understandable and usable. Think of it as a translator that turns complex data languages into clear, actionable information.
This process involves identifying, classifying, and structuring data to facilitate access and analysis. From collection to application, data mapping ensures that all information is aligned and consistent.
This process involves a detailed identification of how data is stored, processed, and used within a company. Through data mapping, it is possible to gain a clear view of the information flow, from collection to deletion, identifying vulnerabilities and mitigating risks.
Implementing data mapping is a strategic step for any organization aiming to improve its digital security and privacy, providing more efficient and secure management of information and strengthening the trust of clients and employees.
What is Data Mapping Used For?
The usefulness of data mapping cannot be understated. It serves as the backbone of data analysis, and its applications are endless.
In this case, the importance of data mapping lies in its ability to organize and classify information, highlighting what is sensitive and requires additional protection measures.
With this, it becomes viable to
eliminate unnecessary data, reduce exposure to threats, and ensure that only essential and relevant information is kept.
Additionally, by mapping data, companies can ensure transparency and compliance with legal regulations, avoiding penalties and damage to their reputation.
Here are some of its main functions:
• Data Quality Improvement: Ensuring that data is accurate and free of inconsistencies is fundamental for any business. Mapping helps to correct errors and standardize data.
• Time and Resource Savings: With efficient mapping, companies can save time and resources that would be spent on manual error correction and searching for accurate information.
• System Integration: Many companies use multiple systems for different operations. Data mapping facilitates the integration of these systems, providing a single and cohesive view.
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How is Data Mapping Done?
Before we delve into the specific steps of data mapping, it is important to understand its purpose and significance. Basically, data mapping ensures that the vast amount of available data, coming from diverse sources, can be integrated and converted into a uniform and usable format. This facilitates not only analysis but also process automation and the generation of accurate insights. Now that we understand what it is and what it is for, let's explore how data mapping is carried out. The process can be divided into clear and structured steps:
Identification of Data Sources
The first step in data mapping is to identify all the sources from which the data will be collected. This can be anything from SQL databases, CSV files, to APIs and CRM systems.
Classification and Structuring of Data
Once the sources are identified, the next step is to classify and structure the data. This involves categorizing the data into different types, such as numerical, textual, or temporal.
Data Source Connection
After classification, the different data sources are connected. This can be done through ETL (Extract, Transform, Load) tools that extract the data, transform it into a usable format, and load it into a centralized system.
Fabio Caraça
Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.
