Data resilience has become increasingly important in today’s business. As you well know, in a world where there are 29% more cyberattacks, the ability to protect and recover from malicious attacks and other disruptions is key to organizational success.
To overcome all the challenges that this new environment presents, your company needs a data resilience strategy.
An effective data resilience strategy rests on five pillars:
1. The classification of the data: This process is key to knowing the data that is most relevant and to establishing its value. When data is classified, it is necessary to define its categories and the criteria in which they are ordered in order to know which data is critical, essential and important.
2. Identify how the data should be protected: Depending on the importance of the data in the company, it is necessary to establish which solution will defend it.
3. Create a data resilience workflow: Determining the sequence of all the processes involved in data backup and recovery is essential to the success of the plan.
4. Understand the life cycle of data: In a data resilience process, it is very important to know where the data originates, where it is stored, where it is used, where it is shared, where it is archived and where it is destroyed.
5. Supervision: To ensure the success of a data resilience strategy, you must practice and verify that the data will be recoverable when necessary.
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