In order to guarantee the success of the update system version projects, we must assume the commitment to adopt the data migration process as part of the project to implement the new solution in our clients.
In a data migration project, we can identify the following stages:
BEGINNING -> DEFINITION AND PLANNING -> DEVELOPMENT -> TEST -> MIGRATION
In general, it begins with establishing a clear understanding of the data migration process, its scope, resources involved, associated risks and business expectations. Then the migration strategy and work plan are established.
With the foundations in place, the extraction, transformation and loading programs are developed that must be tested prior to migration to the destination system.
For the development of this process, it is important to have the documentation of both the original system solution and the new system solution.
The objective is to provide a clear understanding of the data migration process, establish the scope, the resources involved, the associated risks and the business expectations.
Definition and Planning
The goal is to develop the work plan, outline the detailed data mapping specifications that identify how the data will be converted from the source system to the new system. Then, based on the migration strategy, design both the tools used to extract the data from the current systems and those necessary to convert and load said data according to the new system and according to the mapping document.
The goal is to outline detailed data mapping specifications that identify how the data will be converted from the source system to the new system.
Based on the migration strategy, design both the tools used to extract the data from the source systems and those necessary to convert and load said data according to the new system and according to the mapping document.
Build the extraction, conversion, and loading tools designed in the previous stage to perform the conversion and loading according to the data mapping document.
The objective is to test the programs and procedures related to the conversion, simulating the real process in an environment similar to the one used in the final process to anticipate any potential problems that may arise.
The objective is to migrate the data to the new system.
Critical factors of success
Some of the main critical success factors for migration projects are summarized in the following points:
- Have the support of the Sponsors
- High availability of the required infrastructure.
- High level of security of the development, test and production environments of conversion.
- Close coordination with configuration since the technical design, development and testing of the conversion requires knowledge of the current configuration. Conversion tests require, in addition to knowledge, the configuration completed in your work environments.
- Joint design and approval of the Conversion Methodology in relation to the information selection criteria to be converted, with the business areas involved.
- Availability of personnel with experience in the Origin and Destination Systems.
- Have the necessary resources available to carry out the migration
- Have documentation of both the data sources and the destination, since if it is not available, it must be analyzed and generated to make the process a success.
- Use data integration technologies, as this will automate processes and facilitate tasks.
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