People, processes and technology together form the foundation of sustainable transformations for businesses. As a central element of your digital transformation, therefore, overarching all three pillars is also important for your data strategy. cimt helps organizations translate business strategy into a matching data strategy and data management roadmap. To do this we employ proven frameworks for data strategy and management with a holistic approach but also with an eye for detail.

Many enterprises have a "cloud first" strategy. But almost all enterprises also have legacy, "onPremise" or in a data center elsewhere. What route should be taken to move from "onPremise" to a (hybrid) cloud environment? There are mature cloud products on the market for data processing and data storage, e.g. data warehouse. However, a big-bang transition to the cloud is not often an option, as the store must remain open. Together with you, we determine the most appropriate approach for your individual situation: After a deep-dive session of the existing architecture, we get to work compiling a target architecture and roadmap.

When we talk about data engineering it is about data in motion. This includes our technical expertise with the implementation of data and integration issues, data pipelines, data warehouses or data migrations, among others. We apply our experience broadly, sector-independently and on the basis of scalable architectures and technologies. We work as an enabler together with our customers and ensure through education and training-on-the-job that best practices for ETL / ELT, data modeling, API integrations, etc. are applied and transferred to development and management teams.