Data Migration is a regularly occurring activity for many companies. It is required for:

• Implementation of new IT systems.
• Change of IT structure.
• Acquisitions and mergers, to link systems.
• Analyses for which data must be extracted.

Points of focus

Data Migration is a complex and often under-estimated process. For many companies, the costs and risks of data migration are like a black box.

• Data in systems is not imported consistently.
• There is no documentation about the system (including data models, business rules, integrations).
• Business rules are incorrect, incomplete or missing.

The result is that data migration is one of the three main causes for IT implementation failure worldwide.
An average of 20% of the information is lost.
More than 80% of the migration projects turn out differently than planned, which causes customers to be dissatisfied with bad performance and missing or incorrect information.

Our solution

Calago uses an approach whereby the usual analyses are performed, but the quality of the data is also measured and improved in advance. Before the actual migration takes place, there is a complete insight into the work load.

Because business and transformation rules are discovered automatically by intelligent software, the incompleteness of documentation and data models from the older systems are less problematic.
In combination with our methodical approach, we achieve optimum manageability. In this way, the Data Migration process is no longer a black box.

How delivered?

Data Migration is delivered by Calago in two ways:

• As one-time service.
• As a fully integrated system, including technical and functional support.  The software is also available remotely, if so desired.

Related products

Calago is a strategic partner who delivers company-wide support and advice about data migration.

Terminology

Data Migration is the conversion and uploading of data to new/other area.

Result

Aspects of Calago’s Data Migration:

• Improved data quality.
• Fully manageable approach.
• Minimum risk.
• Short turnaround times.
• Controlled phase-out.
• Low project costs.
• Reliable workload definition.
• Advancement due to unconventional approach.