Note: The blog has been updated on 4th Oct 2020. With the latest information and data to match the industry standards and latest strategies adopted by businesses who choose us.
Data migration service projects are a sheer headache for any business. It is a data migration project that takes a toll on your budget and the schedule.
However, data migration is something necessary to stay updated with technological advancements and industry standards. You need to test, analyze, and clean up both on-site data and cloud data.
The new rules, responsibilities, and practices that your employee has to comply with are also a challenge. Along with that is the discovery of untouched data transformation rules due to lack of business ownership which might lead to inaccurate data in the legacy systems.
Data migration service just seems easier, but it is not. Often project managers view it as a part of a large underlying project and schedules data migration near the end of the project rather than in the beginning. Therefore, leaving analysis of data migration to the last leads to fatal failures.
Well, 70% to 80% of data migration service projects fail to meet expectations in various stances.
The call for data migration best practices is due to several reasons. Causes that led to the failure in data migration projects include -
Let us look inside the loop and find out what are the best practices for data migration services in 2020.
The most important practice that guarantees successful data migration services in 2020 is the evaluation of the resources and how they store the data or how complex the data is. The complex data strings and data classification system may influence the direction of your organization to a great extent, so put an eye on it.
The best practices for data migration services tell that you can overcome all data problems by extracting, transforming, sanitizing, and de-duplicating the data.
Before your business moves forward after the data evaluation, make sure you come across a comprehensive set of data standards in place. As data do integral to any business, since it is an ever-changing, establish a bunch of new rules and standards while conducting data migration projects to ensure the successful use of data in the upcoming future.
Underline the business rules so you can apply the use of data. These rules comply and must be compatible with the business and validation guidelines. It is not only for the current data migration services in 2020 but also for the future policy requirements.
Helps to establish the governance of a new data system by figuring out who will take the final say - the one who manages the information or the one who is responsible for supporting data quality, access, and usage. The entire company feels affected by data migration. So you need to be careful when you choose team members and managers to handle the important tasks or technologies.
To move the data, you need to enforce data migration policies. Say, for example, you need to enable data migration at overnight hours when the network usage is low and would not interfere with your data migration service project.
Data migration in 2018 is much more than moving data from one point to another. Before you transfer any data from one system to another, first assure a high level of quality, once the new database goes live to the current users. The data quality should involve the removal of duplicate contents and files that is not relevant for the current or future business.
You need to gather and assess the risk related to your data migration projects. You need to be a little straightforward while you set the rules and standard quotients. Analyze how and where the organization data will come to use and who will use it and how is it going to change the future.
After you have done your homework, it is time to recognize the right tool for creating a new data environment. Remember that tools are only good when they support your infrastructure and you should never see it as a solution to all your problems. The proper tool, helps you to customize the rules and align with your organization and recommended by experts.
Risk management is an integral part of the data management process. It should be an integral component of the migration process. Make sure that all data is acceptable for any potential audits and all information must comply with government and as per company or industry-based standards.
This might be the most important metric for successful data migration services. Managing the change within the organization requires careful consideration of users, customers, vendors, and partners who will take part in a new system. This will ensure a successful transition for everyone who’s in and keep everyone on board for the long haul.
You need to test the migrated data and make sure they are perfect and accurate. Without proper testing and validating, you cannot find confidence in its integrity. You need to audit the document process at each stage and preserve a clear audit trail of which data runs into which one.
These are some of the best practices for data migration that will rock your 2018. It will reduce the pain of managing complex data migration projects and give it the best chance to succeed.
Learn more about our offering as a data migration service provider in our latest Case Studies or get started and talk to our consultants.