Data Migration

Data Migration process

Data migration is directly related to the system functionality and data quality. It is usually a complicated process that takes time and requires a lot of resources. The exact process varies from case to case as there are various factors that can affect it.

Factors To Consider

To design a smooth data migration process for your business, we take into consideration the following factors:

• volume of data to migrated
• data type, format and diversity in both original and target system
• type and technology of the original sources and the target system
• time schedule constraints for the migration

Data migration as defined here, is not just a copy - paste of data. Different systems most probably have differences in structure, formats, validation rules and other characteristics that may require significant reformatting or data transformation.
This calls for certain processing tasks, including format corrections and other corrections, data homogenization, matching unrelated fields or tables etc.

Given the above, this is also a perfect time to address all other quality issues existing in the data stored in the original system. Wouldn't it be a be a pity to migrate duplicates or dirty data to the new environment?

Data Migration Services

Data migration is usually a multidimensional project that includes particular services, such as:

• Data quality assessment
• Data correction - cleaning and matching
• Data enrichment
• Data re-formatting & transformation
• Setting data validation rules to be configured in the new system

Technical characteristics and configuration rules of the system will determine the details of data migration. When it is about a new system in place, data migration process may influence the configuration of the new system, in a way that it could also be a part of this process.

Data Migration Steps 

Before executing the data migration process, it is crucial to understand the data, what it is used for, who uses it now, who and how will use it in the future. Assessing the source and target environments carefully is also a critical task.

Other than that, the most common data migration steps are as follows:

• Analyze existing data and target systems's requirements
• Assess quality issues and risks and define data processing to be done
• Agree with all stakeholders on requirements and on a  time schedule
• Extract data from the original system
• Process data as needed
• Load data in target system

Data migration risks

As mentioned before, data migration can be stressful and risky. Some of the most common risk factors to consider are:

• Security: compromising data security is a main concern mainly in big projects where a high volume of data is exchanged and many people are involved
• Timekeeping: Time schedule restrictions are sometime hard to deal with
• Going off budget: Unanticipated costs which is always a risk for any significant project

We can help you with your data migration project

Our dedicated team at Deep Dive Data Consulting specializes in guiding businesses through the intricate process of data migration, ensuring that every byte of information is meticulously transferred, reformatted, and enriched. With us, your data migration isn’t just a project; it’s the beginning of a new chapter in your organization’s story, marked by enhanced capabilities and a robust foundation for future growth.

Book a free consultation session and let’s embark on this journey together, turning the stress of data migration into a strategic advantage for your business.