Data Migration, Conversion & Normalization

Enterprises frequently undergo changes due to mergers, changes in direction or cost saving efforts. People, processes and data can be impacted. The data may need to be relocated, transitioned to a new product, split into new silos, merged or rationalized.
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Data Migration

What is Data Migration?

With data of varying formats pouring in from different systems, the existing system may require upgrading to a larger one or migrating its data to another plan.
Data migration enables organizations to expand their data storage and management capabilities and fully use data to drive business decisions.
In addition to relocating the data, data migration typically requires some level of conversion and normalization of the data.
Our team will work with you to understand your data requirements and business contraints, build an effective migration plan and deliver the features needed by the business.
We will make sure to leverage best practices to achieve an optimal solution, with clean, useful data that can be queried efficiently!


We can help you transform your data from one format to another, for instance when replacing a product with another while expecting similar results.
We have experience in extracting the data in any format (database, file, webservice), transforming it and loading it (ETL process) into the required target system.
Each data conversion task is unique and depends on the specific needs of a project, however, you could benefit from some of our standard connectors if we have already worked on this source or destination system.


For various reasons, data stored in inventories and reference systems is often a lot messier than we expect it to be.
When the format is not enforced from the beginning, when human input is involved or when no lookup database exist, data ends up being stored with various conventions, alternatives, abbreviations, etc.
This can lead to unexpected results: customers not being able to access their information, services not being delivered how they should, breach of SLA, etc.
Data normalization ensures that entries appear similar across all fields and records, making information easier to find, group and analyze.
We have a long experience of "cleaning" inventory data, enforcing formats, cross-referencing with catalogs, to achieve standardized data format across your entire system.