Data Migration

Data migration is the process of moving data from one system to another.

While this might seem straightforward, it does not happen at a push of a button.  It often involves a change in storage and database or application systems, requiring careful planning and execution.

Planning: Begin with a clear strategy for moving the data, considering the source and destination formats, any necessary transformations, and how the data will be validated.

Assessment: Evaluate the data at the source to determine its volume, structure, and quality.

Backup: Before migrating, ensure that all data is backed up. This is a critical step to prevent data loss in case of any issues during the migration.

Preparation: Prepare the destination system to receive the data. This might involve setting up new databases, configuring storage, or installing software.

Extraction: Extract the data

from the source system. This data should be in a format that can be transformed and loaded into the destination system.

Transformation: Transform the data as necessary to fit the requirements of the destination system. This could involve data cleansing, deduplication, or other data quality measures.

Loading: The transfer of transformed data into the destination system. This step should be done carefully to ensure all data is loaded correctly and completely.

Testing: After the data is migrated, conduct thorough testing to ensure it has been accurately transferred and functions as expected in the new system.

Validation: The migrated data is thoroughly validated to ensure completeness and accuracy. This meticulous process might involve comparing data counts and random data sampling, leaving no room for errors or discrepancies.

Cutover: Switch to the new system once the data has been validated. This step may require some downtime, so it should be planned carefully to minimise impact.

Review and Monitoring: After the migration, it’s important to monitor the new system for any issues and ensure that it is performing as expected. This includes checking for data consistency, system responsiveness, and user feedback. Regular reviews will help identify any areas for improvement and ensure the system is meeting the business needs. Additionally, it’s important to document any lessons learned from the migration process for future reference.

It’s crucial to remember that data migration can be complex and risky. Therefore, it’s of utmost importance to have experienced professionals manage the process. Our company has 30 years of data migration experience and is ISO9001 certified.

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Products we use for Data Migration

nfoldROI GIS Conflation

adjust.IT Methodology

GIS conflation is the process of combining multiple geospatial datasets to create a more accurate and comprehensive dataset. adjust.IT is the #1 Conflation Methodology researched since 1982, commercially released 2000, AI version patent pending.
nfoldROI LatLonGo Native

LatLonGo

Advanced Enterprise Mobility for Utility and Telco customers, available as native iOS and Android, Web and Microsoft Power Platform versions.
nfoldROI GIS/ERP Integration

GIS|Connect

GIS|connect – World first SAP Certified interface at United Energy in 1996, still in production today.