Data Engineering

Gain valuable information from the complexity of different data from different sources – in the required quality-assured format.

Data Engineering describes the collection, preparation, validation and analysis of data sets of different origins. The complexity of these data requires deep technical knowledge in the various Big Data and Database technologies. This way, you can provide valuable and useful data in a quality-assured format for Data Scientists or Data Analysts. The selection of the right hardware and software for the task can also be attributed to Data Engineering.

We, the TIMETOACT GROUP, offer you certified consulting and support in your projects in the field of Data Migration and implementation of Data Warehouse and Big Data solutions.


Knowledge Management

novaCapta – What exactly does Knowledge Management include and what does it have to do with profitable companies? We would like to support you with our expertise to create a living knowledge platform that is optimally adapted to your company.

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Database Technology

TIMETOACT – The management of rapidly growing data volumes in companies is multifaceted: data must be processed, indexed, filed, destroyed, stored or archived. But where do you store your data after processing? In-house or in the Cloud? How do your employees gain secure access to distributed project data from different teams? And are the latest versions of your latest application available in each of your branch offices?

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The Data Logistics of the TIMETOACT solution is very powerful, which is crucial for us as market leader. In the past, the loading process took all night. Today it only takes a fraction of that time, although the scope and complexity have increased significantly.

Matthias MerzBI Project Manager Pernod Ricard Deutschland GmbH

Product Information Management

synaigy – For a company to achieve this data sovereignty, it is necessary to enhance the networking of all systems. This cannot be accomplished by a classic ERP system. It needs a solution in which many products can be maintained quickly and efficiently and distributed to a large number of recipients. A professional Product Information Management (PIM) solution lays the foundation for minimizing sources of error and meeting (customer) requirements.

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Our Success Stories in Data Engineering: