5 fundamentals needed for data management
Data management is a process aimed at collecting, assimilating, understanding, and ensuring the security of information that is useful and valuable to the company. To keep up with the market, it is necessary to absorb information that comes up at all times in order to adapt to the trends and generate growth in the business.
Therefore, this process is of extreme importance to support decision-making that is more accurate and in accordance to the organization’s success needs. To that end, it is necessary to follow and pay attention to important fundamentals. See below what they are!
1. Data governance
Data governance is related to the management of data, policies, processes, technologies and personnel with the purpose of structuring and organizing the information of the corporation.
Therefore, this procedure is essential for data management, considering that it is the strategy responsible for reproducing the entire practice of collecting information. That way, authority, control and organization of policies and strategies involved in the business is generated.
2. Documentation management
Another important process for a secure and efficient data management is the management of documents and contents of the company. This feature is used and is essential in the implementation of security policies, as well as in the planning and control of storage activities.
This is necessary to ensure that your business’s unstructured data is not accessed by third parties or malicious people. To that end, the registration information and data, company’s statistics, customer contracts, suppliers and internal procedures are considered a true patrimony of the organization.
In addition to the protection of documents and contents, this process also aims to avoid the risks of loss, delay or failure to locate information and the release of contents of confidential nature.
3. Data security
As we can see, data management and information security must go hand in hand. The protection of concepts, facts and statistics are essential for its correct management, avoiding leaks.
With that, security management establishes internal policies and procedures that must be strictly followed and implemented, so that all data is correctly stored throughout the operation cycle or as long as they are valid for the company.
4. Data operations
In addition to protecting your company’s data, it is necessary to keep them organized and stored in an appropriate and practical way for employees. To that end, data operations define policies for this management to be carried out in the best and most optimized way possible.
Keep in mind that these policies are valid for the entire lifecycle of the information, that is, for as long as it is valuable to your company.
5. Data architecture
Data management is related to the functions of data architecture – a process in charge of and aimed at the knowledge and definition of information needs.
As such, this architecture has as its main goal to align the information and structure them in a strategic way for the procedures and activities of the company.
Companies that do not opt for data management are subject to significant risks, such as cybercrime attacks, failed and outdated information security, as well as viruses that can affect the entire business, even leading a company into bankruptcy.
Therefore, implement good data policies and operations so you do not have any problems with data management. Ideally, you should always have structured and updated information that guarantees the health and growth of your company.
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