Data migration is the process of transferring data from one system to another. This critical task involves activities such as planning, extraction, transformation and loading followed by data validation to ensure that all data is moved correctly and with less risk.
There are many different reasons for this move, such as performance improvement, cost reduction, security policy, better management of valuable data, meeting regulatory requirements, retiring outdated systems, and preparing for mergers and acquisitions.
Main benefits for migration:
• Long-term cost savings – In order to survive on the market, companies are forced to reduce the share of operational costs (power, cooling and labor costs) in the IT budget and in order to create better business practices, accelerate innovation and increase competitiveness in the market.
• Improved data security – modern, secure platforms offer data encryption, access control, data protection compliance monitoring, data validation, backup and recovery.
• Scalability and flexibility – Data migration offers significant advantages in creating a flexible and accessible work process, primarily enabling the transition to modern, often cloud-based, platforms that support remote work, scalability, automation, integration with modern analytics and improved collaboration.
• Improved productivity – improved productivity by enabling organizations to move data into modern systems that offer improved performance, better accessibility and superior analytical tools.
• Better user experience – Training users in the data migration process ensures that the new digital environment becomes more efficient and easier to use, which ultimately improves customer satisfaction.
• The need for data migration becomes inevitable with the development of the enterprise and the complexity of the data infrastructure. In order for this process to be more efficient and less risky, it is important to approach strategic planning and implementation.
