Data Migration
A data migration project can have many different aspects, but at thewave we can help from start to finish.
Here are the engagements that we can take on:
• Data Migration Assessment
• Data Migration Project Support
• Reconciliation Support
• E2E Data Migration Execution
Question 1
High
A high volume has a significant impact on the choice of the migration approach as certain migration types become impractical like for example a manual migration.
High
You only have a few deviations from the standard products and processes. Approaches allowing for a high level of automation are then well suited.
High
The more the source product and the target product are similar, the less need for data manipulation and techniques like product rationalization. It also implies that the mapping effort will be less complex so this will give us more options in regard to the migration strategy.
Similar
It speaks for itself that the more two systems are similar, the less complex a migration will be. Which makes it possible to consider approaches better suited for less complex data mapping.
Different
Mapping two systems will always be a complex matter but having two very different systems will make it more so. This will limit the options when choosing the best migration approach.
Low
A migration becomes more complex when the match between your source and target product is low. This also limits the possible approaches.
Yes
This will simplify the migration and make possible to consider more migration techniques.
No
The product mapping complexity can not be avoided and will limit the migration techniques that should be considered.
Low
You have lots of deviations from the standard products and processes, or manage tailor made solutions for your clients. This makes a migration more complex but there are approaches and tools that can help.
Low
Your relation with your brokers and clients is not strong or you don't have an attractive alternative to offer to your clients. In this cas you will have to support the complexity of your portfolio.
Yes
The migration towards an identical target product can not be avoided. This increases the complexity of the migration.
No
The migration towards an identical target product can be avoided. This will allow for a product rationalization and will decrease the complexity of the migration.
High
You have a strong relation with your brokers and clients and you have an attractive alternative to offer to you clients. This could remove partially the complexity of a migration and there are tools to support this kind of processes.
Yes
This will simplify the migration and make possible to consider more migration techniques.
No
The product mapping complexity can not be avoided and will limit the migration techniques that should be considered.
Low
A low volume will limit our choice in migration approaches because some technologies are not adapted or too expensive for low volumes of policies.
High
You only have a few deviations from the standard products and processes. Approaches allowing for a high level of automation are then well suited.
High
The more the source product and the target product are similar, the less need for data manipulation and techniques like product rationalization. It also implies that the mapping effort will be less complex so this will give us more options in regard to the migration strategy.
Low
A migration becomes more complex when the match between your source and target product is low. This also limits the possible approaches.
Yes
This will simplify the migration and make possible to consider more migration techniques.
No
The product mapping complexity can not be avoided and will limit the migration techniques that should be considered.
Low
You have lots of deviations from the standard products and processes, or manage tailor made solutions for your clients. This makes a migration more complex but there are approaches and tools that can help.
Low
Your relation with your brokers and clients is not strong or you don't have an attractive alternative to offer to your clients. In this cas you will have to support the complexity of your portfolio.
High
You have a strong relation with your brokers and clients and you have an attractive alternative to offer to you clients. This could remove partially the complexity of a migration and there are tools to support this kind of processes.
A Typical migration project
Our team of experts is here to give a helping hand and guide you through the migration process. Why choose us for your data migration?
- We have product, process & deep insurance data knowledge
- Our hands-on knowledge of the main insurance admin systems
- A proven track record at multiple insurers
- A data migration platform that allows to execute very fast trial runs
- We factor in data quality early in the process
Our insurance data migration wave-based methodology
Our iterative model wave-based approach shows that we can carry out almost all activities within an End-to-End data migration project, if requested. Before the approach and planning phase our migration method assessment tool can be used to determine the ideal migration method for your portfolio
Migration Method Assessment
At thewave we created a model to assess the migration method. All the drivers influencing a data migration are considered.
Approach & Planning
We can deliver the general approach and planning but also the high level product gap analysis, the migration sprint planning and the migration project charter.
Migration Sprints (iterative)
The first iterative wave with the following activities:
- Mapping designs
- Data transformation & enrichment
- Data Loading
- In sprint testing
- Technical reconciliation
Testing & Certification (iterative)
The second iterative wave with the following activities:
- Static testing
- Dynamic application testing
- Dynamic interface testing
- Functional reconciliation
Cut Over To Production
We can foresee in the necessary cutover management to realise the migration in production & dress rehearsals.
Activities throughout the entire approach
During the entire process we also make sure that data quality is not overlooked by for example factoring in data quality early in the process so that it will not come on the critical path. We can take care of several activities such as data quality assessment, data quality rules inventory creation and data cleansing.
Discover how we helped our clients
