Set data strategy for a multi-cloud environment

Create your own multi-cloud data strategy

Now you can start designing your multi-cloud data strategy, that is, what to store and process where. For example, you can be guided by the applications and services that you are already using, or you can orientate yourself to the specific performance and access requirements of an application. You can also choose a data-centric strategy that takes into account data usage in conjunction with legal and regulatory requirements. For example, an article in the Harvard Business Review by Leandro DalleMule and Thomas H. Davenport states that companies have to compromise between “defensive” and “offensive” data strategies. The offensive activities support the business goals, i.e. sales, profitability and customer satisfaction, whereas the defensive activities prioritize ensuring compliance and minimizing risk. This type of classification can support the decision-making process.

Perhaps the most important point in this strategy development is to choose the right cloud services and multi-cloud platform that are necessary to meet the respective requirements. Many companies are now aware that a consistent approach to good data governance is essential, but many believe that this approach is difficult to implement. In a recent survey by the Enterprise Strategy Group for Dell, nearly 33 percent of IT decision-makers in Western Europe considered ensuring consistent data governance in their multi-cloud and on-premises environments as one of the biggest challenges.

This is where virtualized networks and modern hyper-converged infrastructures (HCI) can help. It can be used to set up platforms that act as a kind of pool of shared network, compute and storage resources. This enables IT teams to provide hybrid and multi-cloud solutions that seamlessly range from on-premises to the cloud. In this way, a consistent infrastructure with consistent operation can be provided together with data orchestration and simplified data management. All of this goes hand in hand with complete transparency of data usage, storage and backup as well as the respective storage locations. In the case of highly developed platforms, there is even the possibility of automation, whereby these systems reduce part of the complexity by being able to take over storage, backup and security functions independently. Because it can be difficult to manage multi-cloud environments, integrating all of the components into a single platform helps you better comply with all security policies across the environment.

In addition, such a platform can also help address the data duplication and separation problems that are common in a multi-cloud environment. If the same data is stored for different applications in different clouds, this inevitably increases the risks and costs, because cloud storage is also not free of charge. In addition, many application advantages are lost. Data-driven applications need a single source of truth, but with more and more versions of a data set, access control is becoming increasingly difficult. Data separation addresses concerns about data security and compliance. How can you ensure that data is not secretly transferred from one application to another? Or do you not “migrate” from one client or customer to another at a public cloud provider? Only with a platform that focuses on virtualization, integration and data orchestration will data separation become an integral part of the workflow.

Every strategy is unique, because two companies will never run the same applications, set the same priorities or have the same data structures. That is why it is so important to take stock and develop a strategy that meets the specific needs of your company. If you do that and coordinate with the right multi-cloud platform, you can safely master these challenges.

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