More and more companies are adopting a multi-cloud strategy and recognizing the benefits of multiple cloud service providers. Agility, fast response times, and the ability to use the best platform for each workload are among the key arguments. However, this brings with it the challenge of ensuring seamless data movement and storage between platforms. It is imperative that enterprises integrate data portability into their cloud security model to avoid potential data loss and data silos.
In today’s economic climate, companies are also under increasing pressure to optimize their technology investments while minimizing costs. CEOs need to make strategic decisions about where to invest and what to prioritize. In some technology locations, companies based there are already advanced: according to a report by Forrester, APAC regions have one of the largest shares of the world’s cloud data centers, with investment increasing in emerging markets.
Furthermore, a multi-cloud strategy offers additional benefits for businesses. An open approach allows teams to use the tools they are most comfortable with, reducing inefficiencies and enabling seamless workflows. The cloud market is highly competitive, resulting in better pricing for enterprises as providers strive to offer the best value.One of the biggest challenges of a multi-cloud strategy is ensuring the seamless movement and storage of data across platforms.
To enhance data portability, organizations can take the opportunity to digitally clean up and remove unnecessary applications. Categorization can help; for example, by classifying data as follows: ‘Good’ for critical data that needs to be available, ‘Green’ for data that will be retained for a specific time, and ‘Away’ to summarize unnecessary data that should be removed. Removing unnecessary data reduces data complexity and the risk of data loss during migration.
Organizations should also strive not only for the “best” data portability but also for sustainable data portability. This can be achieved through a business impact analysis to determine the potential consequences of service disruption and the appropriate level of data portability. The business impact analysis should also identify the risks of data loss, corruption, or compromise during migration. In this way, companies can plan for potential data issues and minimize potential downtime.
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