An effective data migration means organizations must possess the ability to keep an eye on the common mistakes that can hinder continuous development and integration.
At Icreon, we have helped clients from several industries implement all types of data migrations. Over the years, we have improved our approach and the entire process. Through these meaningful experiences, we have recognized six common data migration issues that can disrupt a data migration journey and the ways to avoid them -
Avoid These Common Data Migration Issues to Have a Smoother Journey
Here are the 6 data migration mistakes to steer clear of during data migration –
Mistake #1: Hasty planning
Did you know that 38% of projects fail due to budget, time restrictions, resources, and lack of team readiness?
First & foremost, it is crucial to have a plan with the stakeholders who are aware of the data migration service and have solid knowledge. This will ensure you're in a better role to assess and make necessary changes. To implement a successful data migration, you must know everything you have in your current data center, such as how many virtual or physical workloads are, utilizing local or shared storage, etc.
When starting with any data migration service, it is crucial to define and plan what is achievable to avoid common data migration issues. This ensures that the scope is decided and that a proper timeline, budget, and resource plan can be set. A data migration project can be quite complicated, so the aim is to have a solid plan to filter out any discrepancies.
Mistake #2: Integrated processes
Data migration service often needs to have a diverse set of people using multiple technologies and tools. However, the usage of such a divergent system can result in data transfer failure in the entire process. Therefore, companies need to seek a platform that connects all the critical inputs and outputs to reduce error.
Planning is the key to prevent issues like this. You must have a long-term plan ready to prepare your employees and stakeholders if needed. In addition to creating the system, everyone needs to be adequately trained before shutting down the legacy system.
Mistake #3: Source data
It's easy to be complacent and think all your data is ready to be configured for the data migration process. But many specifics are frequently ignored, and exceptional attention to details is required to keep it intact. A gap occurs when you're unaware of situations like duplicity, incorrect data or spellings, and incomplete data.
Make sure you define what source data you will be transferring and then evaluate it carefully. There could be errors in the data, and this can create common data migration risks & issues. Hence, it is good to cleanse the source data before the migration process and recognize any ways to transition it into new categories.
Mistake #4: Collaboration
Collaboration is vital for success in data migration, as the whole process can be quite time-consuming. This means involving a divergent group of people, tools, internal and external consultants. Working silos will hamper performance, resulting in an inefficient data migration process.
Given the potential risks of data migration - it is essential to have a collaborative approach to have a successful outcome. Involving both IT and marketing teams creates ownership of the project. The result will lead to a successful and accurate migration.
Mistake #5: Not Beginning the Migration Early Enough
Presently, several organizations are streamlining cloud use to make it more cost-efficient and productive. However, moving from one platform to another is not enough to give it a few days to migrate the data before the old account is closed. Hence, it is ideal to have extra time to complete the transitioning of data seamlessly.
In case you face any road blocker and your data isn't backed up elsewhere, you could end up turning the old account back on for a more thorough transfer at an extra expense. Therefore, it is always worth paying for an additional month to ensure you have enough time to transition the data before the old system is shut down.
Mistake #6: Not Fully Backing Up Your Data
While moving from one platform to another, there might be migration problems arising, which means you could lose a chunk of your data or get corrupted. In this case, having a backup plan is necessary to retrieve information that can get lost permanently.
Ensure all of your data is backed up before the beginning of the migration. Leave the original data source untouched. Why? Because if you face any issue during the migration or did not receive the expected results, you will be able to figure it out by restoring the data from the original server.
Related – Why Data Migration Solutions Are Important for Automated Customer Experience?
The Secret Sauce to Successful Data Migration
Here are crucial elements your data migration strategy should encompass:
Define the scope of the service or project clearly & precisely
Ensure to refine the scope of the service or project via auditing and targeted profiling
Profile and audit all the source data before starting with writing mapping requirements
Reduce the quantity of data that needs to be migrated
Describe the project budget and timeframe realistically while keeping the knowledge of data issues in mind
Receive sign-off on each phase from senior leadership and
business representative as well
Focus on doing the volume-testing for all data in the beginning to avoid any negligence
Have plenty of time for volume testing and issue resolution
Classify the project with a top-down, target-driven approach
Divide the project or service into manageable chunks
Make sure to have a total focus on the business objectives and cost-effectiveness throughout the service
Data migration has been a hot topic for quite some time. Yet, the awareness about common data migration risks & issues has been missing, and in many instances, has led to a bad experience. Planning your approach with the right partner would ensure lasting success for your business. The right partner will offer skills and competencies to support your business based on vertical and industry expertise.
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