Data is gradually becoming one of an organization’s most valuable assets, as enterprises increasingly rely on analytics to make crucial business choices. In reality, it’s worth can be expressed in monetary terms. Hence, data migration is so critical: a well-established data migration process can save businesses a lot of time and money by avoiding security and cost issues.
Data migration is a vital business activity that most companies go through on a regular basis. Having a good data migration strategy that assists firms is crucial for executive and information technology teams, whether it’s building a new system or relocating information to more secure storage sites.
However, a few industry experts believe that data migration projects will either overshoot budgets or impact the broader organization as a result of poor strategy or execution. This is due to the fact that data transfer initiatives are often complicated, time-consuming, and include various systems, technologies, and technical teams.
Here are some data migration best practices and ideas for businesses to consider.
Examine the data’s intricacy and quality
Verifying data complexity to determine the best route to adopt is one of the recommended practices for data migration. Businesses must examine and evaluate various types of organizational data, as well as verify what data they plan to migrate, where it currently resides, where and how it is stored, and the format it will take after the transfer.
Enterprises should assess the quality of their present data. Is there anything that should be updated? To determine the quality of legacy data and apply firewalls to distinguish good data from bad data and delete duplicates, do a data quality evaluation.
Create and execute a clear migration strategy
A coherent migration strategy necessitates the existence of a company strategy. Companies should make a commitment to formulating a plan and to formalize and communicate it. Complex IT initiatives are frequently tackled piecemeal and hastily, with no mental framework in place to determine who, how, when, and how much effort will be given to various aspects of a plan.
A strategy should provide some explanation of why data is being moved, some high-risk regions, and the significant challenges that will be encountered while implementing the strategy. The strategy should then be widely communicated with all relevant stakeholders so that they are aware of it, understand it, and can contribute and provide feedback.
To perform data migration, create solid, aligned teams
Businesses may have the best tools available, and their strategies may have been meticulously crafted. However, a poorly created migration team that is out of sync can rapidly derail plans, methods, and, ultimately, results. Working with a trusted consultant, who may be driving the migration to a new application, is a common part of team alignment. Businesses should ensure that the consultant or contractor’s team members are well-suited and aligned with the client organization. Chemistry, transparency, reporting, and accountability should all be in place. Businesses need to choose team leaders and project managers who are good at sticking to deadlines and adhering to strategies, processes, and other data migration strategy and plan criteria. Team alignment may also include contract deliverables being clearly defined in the proposal and bid process, as well as team members having the relevant certifications and qualifications to execute in the data migration ecosystem.
Employ a data migration management tool, but don’t put all faith in it
Businesses should keep in mind that a tool is an instrument that is used to make manual labor easier or to complete an operation. Companies must take advantage of the tool while also tailoring it to their own needs and business norms. Furthermore, organizations should not assume that because they employed a tool, the data they moved was not corrupted. They will still have to verify it.