We provide a step-change in complex data migration through a combination of software tools and methods
Agile data migration approach
Too many data migration projects continue to follow the traditional waterfall approach. Surveys and research show that results are too often lacking. In our view, best practice is to apply an agile and incremental approach – one that lets you iterate fast and learn in steps.
We have based our Solution on an agile approach to data migration so you can progress fast and always in full control of all tasks and results.
Successful data migration tool
To succeed in managing a complex data migration or data conversion project you need a data migration tool. A tool that allows you to work agile, lets you easily map, create rules and relationships, validate, execute and test – all with a minimum of effort and high-quality results.
Our software tools have all the functionality you need to support you through your project.
A profound need to do better
A business requirement
The constant need to support new business processes and to simplify and modernize application portfolios has made data migration a core requirement for today’s modern IT organisation, but…
- Today’s methods are cumbersome, manual and often fail to meet their time, budget or quality objectives
- Data migration projects involve complex manual tasks, are difficult to test and take a long time to complete
Too many organisations continue to use cumbersome, manual approaches and fail to meet their time, budget or quality objectives.
Facing the challenge
hopp’s Data Migration tool addresses the difficulties and failures of the traditional approach to data migration or data conversion. We do this by incorporating business logic supported by an agile and iterative process, auto-generated code, fast deployment and straightforward testing and tracking – all embedded in a software solution.
The iterative processes of mapping data and testing outcome are enabled by what we call business objects – a unique approach that ensures your business logic and relationships are replicated and maintained when migrating data, rather than destroyed.