Too many compromises, there has to be a better way
to manage complex data migration
A successful data migration project must apply an approach that focuses on business logic. It should account for multiple data dependencies and allow easy error and event handling. All while ensuring fast delivery and data quality.
To follow an iterative process is crucial – one that includes structured mapping of data, development of migration programs and careful testing before the data is migrated.
We have developed a solution that incorporates all the elements you need in a data migration tool to successfully deliver a complex data migration project.
New tools needed
There are some commercial software solutions that are used for data migration, such as ETL tools. The often lack the functionality needed for data migrations. If the data or systems contain complex business rules and relationships, commercial software will be insufficient and bespoke migration programs often need to be developed.
We offer a solution that fully supports complex data migrating without the need for additional and time-consuming coding.
Need to move on
Companies continuously need to apply new business processes and to simplify application portfolios in order to compete.
System integration, system upgrades, and modernisation efforts make data migration a core requirement for any IT organisation. But today’s data migration methods are cumbersome, manual and often fail to meet their time, budget or quality objectives.
Many organisation fears data migrations due to the risk of failure, cost and time. Our message is, it doesn’t have to be that way.
Projects often fail
Studies suggest that nearly 40 percent of data migration projects are over-budget, over-time or end up failing completely due to poor quality. To move beyond existing compromises, it’s time for organisations to adopt new approaches and solutions that will enable them to successfully deliver migration projects by minimizing the risk of failure, excessive cost or delays.
We believe that a well-managed data migration project supported by an appropriate approach and the best available tools will successful.
The core concepts are Business Objects,
Generated Code and a Agile Process
The Data Migration Framework is built on the concept of Business Objects.
A Business Object represents all the data related to one specific item of the business being migrated (eg customer, account, product, policy, invoice, etc).
Using our solution, you create Business Objects in hierarchies, each with a recursive hierarchy of sub-Business Objects. These provide the basis for the mapping, the actual executions and the reporting of results. Every Business Object passes through the migration process as one unit, fully traceable at each and every step.
Our solution provides the tools required to establish and manage the totality of rules and their relationships across multiple areas and teams.
All mapping of data and rules are validated automatically before converted into the code used to execute the data migration. Using our solution, correctly mapped data will be consistently applied and executed resulting high data quality.
A better way to work
– an agile process with iterative and incremental work-steps
Agile and Iterative
The iterative nature of our migration approach works via a process of continuous improvements in mapping and validation that greatly enhances the quality and speed of the migration.
The Data Migration Framework allows different data elements to be added little by little – tested and tracked, modified and re-tested. Full iterations can be done on multiple levels, from individual Business Objects to groups of Business Objects.
Due to the ease of iterating, entire new Business Objects and data elements can easily be added and existing Business Objects enhanced.
The Framework relies on an iterative workflow as the best way to ensure fast progress – creating a loop where mapping can be implemented and tracked in minutes.
The Solution offers a structure and functionality for cross-validation and managing multiple dependencies. Mapping all data elements in large migrations results in a significant number of rules with a high degree of complicity. Our Solution providing all the necessary support.
- Cross-reference – Extensive where-used cross-referencing capabilities
- Validation – Complete validation of the consistency of rules and mapping
- Reporting – High-level and detailed reporting for rules and mapping
By applying our Solution you can ensure that the data quality is clearly defined and delivered as expected.