Data engineering - or as we call it: data logistics - is all about data in motion. This encompasses our technical expertise with the implementation of data and integration issues, data pipelines, data warehouses or data migrations, among others.

Data Engineering 

The “Extract, Transform, Load” process is probably the most well-known approach to data integration, whereby sequentially data is retrieved from the source system, transformed (enriched, modified, checked for the right quality), and then written off to a target system such as a data warehouse or a data hub.

But when we talk about data logistics, it’s about more than that and especially about data in motion. This includes:

  • Data integration for ETL and ELT
  • Data replication and data pipelines
  • API platforms and integrations
  • Application and supply chain integration (ESB, EDI,...)

cimt is happy to help you with data engineering expertise. For this purpose we use, among others, Talend: a platform with which integrations can be developed and managed quickly and easily. For the development of these integrations we have established a set of best practices and frameworks, which we use to realize the best solution for you.

In data engineering projects, we find it particularly important to pay sufficient attention to enabling your organization while developing integrations. We want you to be in control of your environment and do not want to leave a “black box” behind. To achieve this, we like to involve your employees in the implementation at an early stage.

Data Migration

Change processes affect various organizational units for companies. Change is necessary, but often brings with it complexity. Data migration is a recurring issue and also a process that involves much more than a simple conversion from A to B.

Data migration may be necessary in the following situations:

  • Market trends and organizational growth require more scalable system architectures (e.g. ERP or CRM migrations).
  • Redesign of system architectures with mergers and acquisitions.
  • Consolidation of multiple (satellite) systems into a new central environment.
  • Software vendor ends support for a software package and the data must be migrated to a new platform.
  • Leveraging the functionality of new technology stacks (databases, big data, cloud services & applications).

There is often a mismatch between the estimates and the actual impact of data migrations as part of larger transformation projects: after evaluating and investing a significant amount in new systems, preparing data for migration can often seem less exciting.

Based on our experience, it is noteworthy that budgets for data migration projects seem to be set based on the assumption that the data is near perfect. And even though the cost of a data migration is probably only a fraction of the money spent on the purchase and implementation of a new system, it is a key success factor for the overall project and adoption.

The failure of a data migration or poor data quality can greatly increase costs and minimize the value of a project to your organization. Therefore, thorough analysis, proper planning, early stakeholder involvement and ownership of the data migration within your organization are the keys to success.

cimt migration factory

With our expertise and experience in the field of complex data migrations, we have created our “migration factory”: A framework that covers organizational, process, regulatory and technical aspects of a migration process and can be flexibly applied.

cimt migration framework

We would like to introduce you to this framework. For a first impression you can also read more about a number of reference projects here:

Want to know more about how we at cimt can help you with your Data migration and Data engineering projects? Contact us!

Follow us at:

Privacy Preference Center