Data Migration Risks
The world undoubtedly can no longer overlook the agility the cloud has provided businesses. It creates incredible opportunities for businesses to shift platform and continue everyday operations despite the ongoing battle with the global pandemic. Companies and corporations using the cloud aspire to increase agility, help employees centralise on business priorities, fuel top-line growth, drive downturn in capital expenses, and pay for only what you need on-demand. However, the type of migration instituted and infrastructure to support the process will determine exposure to risks and how much free time IT staff can allocate and invest in other projects.
When and why is data migration difficult and risky?
When data migration becomes a challenge, it tends to relate to data gravity which reveals how data attracts other data as it grows, how data integrates into a business, and how data becomes customised as time progresses. These factors attributing to data gravity disclose the difficulty of “disentangling” data as it migrates systems. Therefore, data must first simplify and overcome barriers of data gravity to evoke the advantages of migrating applications and data to a cloud infrastructure. Furthermore, it is crucial to allocate time at the initial stages of a project in sorting data and application complexities to improve data management, enabling application mobility and garner enhanced data governance.
The prominent issue arises when applications complicate data management by instituting new elements of application logic into the data management level, whereby each one is inapplicable to the following data use case. Consequently, the system will operate inefficiently and deprive TOS users of the capabilities to resolve bottlenecks or even facilitate decision-making. It is vital to evaluate system IT infrastructures and ask the respective software provider of their migration strategies and process to understand how they treat your data in each stage and if it benefits your operational needs.
Business processes create outputs in their meaningful formats using data in isolation, which leaves integration for the next stage. As a result, application design, data architecture, and business processes must achieve cohesion and combine to envelop a harmonious environment. However, often, one of these groups are resistant or unable to change. Application administrators, consequently, omit ideal and straightforward workflows, resulting in subpar designs. Motioning a workaround that addresses these technical limitations immediately upon detection will prove beneficial though dismissing it in this stage will eventually resurface during data migration or integration projects. Overall, the software provider should encompass a robust system architecture to drive efficient data management, reinforcing a seamless data migration. Therefore, the application or system of choice must follow an explicit data structure while simultaneously achieving a harmonious environment.
Despite the complexity, data migration grants operators and executives alike the strategic weapon that phases out their current operating legacy system. The terminal and organisation can then take progressive steps to achieve a complete cloud TOS infrastructure that advances ports and terminals in digitalisation and the industrial revolution 4.0.