In the current environment, cloud migration is a requirement. With more people working remotely than ever before due to the COVID-19 pandemic, they need access to the data that’s most crucial to doing their jobs. Moving that data to the cloud is the best way to ensure your enterprise stays operable and relevant when employees can’t be physically present.
To get the most out of their cloud migrations, companies are aligning these projects with other strategic moves. Not only are they looking at ways of mitigating risk around availability in cases of the pandemic or natural disaster, but they’re also examining the availability, elasticity and scalability of the cloud, as well as pay-peruse instances to transform and modernize their businesses.
One of the main details companies are examining is the way they’re storing and using their data. With cloud migrations, they’re looking to modernize data architecture to get more value from their data to create better products, services and experiences for employees and customers alike. Within the next year, 59 percent of companies plan to increase their cloud spending. They’ll move more files and applications to the cloud and will expect to see greater benefits from those moves.
Challenges Faced During Cloud Migrations
Although cloud migrations come with many benefits, challenges will need to be overcome. Without careful planning, these challenges can lengthen the time it takes for your business to realize the advantages plus add costs.
Budget and cost considerations
Budget is one of the main challenges businesses face when moving their data to the cloud. Approximately 80 percent of companies cite cost as the main obstacle to cloud migration. Cloud migrations can be expensive, with costs piling up the longer a migration takes to complete.
Data governance is another challenge many companies face when planning a cloud migration. Around 60 percent of enterprises worry about regulatory issues, governance and compliance with cloud services. The difficulty comes with creating good governance around data while avoiding risk and getting more out of that data. More than three-quarters (79 percent) of businesses are looking forbetter integrated security and governance for the data they put in the cloud.
Institutional knowledge is another obstacle many companies face when exploring cloud migrations. People leave the organization and take with them an understanding of how and why things are done. Because of this, you may not know what data you have or how you should be using it. The challenge comes when it’s time to migrate; you need to understand what you have, how it’s used, what its value is, and what should be migrated. Otherwise, you may spend time and money migrating data, only to discover that no one has touched it in several years and it wasn’t necessary for you to retain it.
How You Can Address Your Cloud Migration Challenges
The preceding list of cloud migration challenges might seem daunting, especially for an organization that collects and manages a great deal of data. When enterprises today face the prospect of manual, cumbersome work related to their business processes, IT infrastructure, and more, they often turn to automation. You can apply the same idea to your cloud migration strategy because automated software tools can aid in the planning and heavy lifting of cloud migrations. As such, they should be considered when it comes to choosing platforms, forecasting costs, and understanding the value of the data being considered for migration.
Mitigating budget and cost concerns
In terms of budget and cost, automated tools that scan repositories in your environment help by adding structure and business context (where it is, who can access it, etc.) in the transformation of legacy structures because migrations aren’t “lift and shift.” new structures will enable new capabilities for your data and business processes.
Automated tools can help you lower risks and costs and reduce the time it takes to realize value. For 47 percent of enterprise companies, cost optimization is the main reason they migrate to the cloud⁹. Automated software handles data cataloging and locates, models and governs cloud data assets.
Continuous data governance
Automation also can help IT organizations address data governance during cloud migrations and then for the rest of the cloud data lifecycle. Automation minimizes human intervention, providing a higher degree of certainty since it’s not just someone’s interpretation. It enables sustained governance and enables the business to understand the impact of changes both upstream and downstream, which helps you make more informed decisions.