Data Migration Services
If you need a quick, efficient and secure data migration service with no disruption to your business, our experts can help.
Data stands out as a crucial operational asset for your organization. Due to its significance, companies may feel apprehensive about data migration projects, particularly due to the growing complexity of data integration. This complexity is attributed to factors such as the variety of file formats, the volume of data, and the necessity to share existing data.
When is Data Migration necessary?
There are lots of reasons why the need for data migration can arise, whether:
- You are in the process of updating your legacy system and require the migration of data from the old system to the new one.
- Synchronization of your data is necessary between the old legacy system and the new system to facilitate a side-by-side system rollout.
- You have recently acquired a new business application and aim to incorporate the data from an older application.
- You have acquired a new subsidiary, or you are in the process of a merger, and there is a need to transfer data from multiple systems onto a unified platform.
- You are transitioning your IT platforms to the cloud to enhance scalability, necessitating the migration of both data and applications.
- You are transferring data from a current server to either a new or existing storage system, or you are consolidating data centrally.
Data Migration Strategy
When contemplating the adoption of a new system, we recognize the crucial importance of a robust data migration strategy. No company desires the uncertainty associated with significant downtime, business disruption, or, worse yet, the potential loss of data.
Geecon, drawing on over 20 years of expertise in handling intricate data migration scenarios, is a reliable partner to guarantee a seamless process.
Data Migration Process
Broadly speaking, the data migration phases we follow are:
- design – Identify current data sources, ascertain the needs of the new system, and outline the process for converting the data.
- extract – Export data from the current source(s).
- cleanse – Examine the data, pinpoint data issues, eliminate redundant or duplicated data, identify incomplete data, and rectify inaccurate data.
- load – – Import the purified data into the new system, either in a single operation, through phased implementation, or in parallel.
- verify – Test the data and verify the successful upload.
Prior to initiating the process, our Technical Architects, with extensive experience, will collaborate with you to comprehend your business objectives and IT strategies. They will analyze the functionality of your current system, including the structure and usage of the data, its quality, and storage locations.
We will guarantee that the process incorporates availability, security, and reliability by:
- Understanding what your data’s used for. We will ensure the integration of availability, security, and reliability into the process by assessing the information environment. This involves understanding how and where you utilize your data and identifying the users. Additionally, we will determine if there might be a different purpose for the data in the future.
- Ensuring data quality (especially in legacy systems). It is impractical to transfer data that is not utilized or is duplicated or incorrect. We will conduct a comprehensive quality assessment to ensure standardization that benefits your users both presently and in the future.
- Constantly validating. Correcting errors post-migration is a costly affair. For data migration from an old system to a new one, we will construct a visual prototype of the new system to verify that the data is utilized precisely as envisioned. Adjustments can be implemented throughout the process.
- Testing with end-users. We recommend that you share the prototype with your end-users so that, in addition to validation throughout the process, they and other stakeholders can conduct User Acceptance Testing (UAT) for the final migration to ensure it meets the requirements.