Generating, collecting, storing, processing, concentrating and rolling out data (in data lakes)
We know big data from A to Z. Our data engineers possess broad technical knowledge and extensive experience in all modern and relevant data technologies. In close cooperation with the data scientists, they realize software solutions, data infrastructures and architectures that are ready to be put into action. These include software development, quality assurance, testing and implementation. Flexibility and agility are also significant components of our processes, such as ITIL.
We provide well-substantiated data and facts – the know-how to go with the gut feelings – and supplement traditional conception methods with the crucial addition of data analysis. Thanks to our know-how and the use of proven and state-of-the-art technologies, we can satisfy the highest requirements of our clients in every aspect.
From idea to cable
The initial phase is followed by specific development steps and cycles that pave the way to actual applications and solutions – the Data Solution itself.
This constructive phase is characterized by practicerelevance and usability. Using conventional consultancy approaches and methods, the result might be, for example, confirmation that a data case is feasible and an indication of how it could work.
However, the whole process grinds to a halt after the prototyping or proof of concept stage.
In contrast, Data Thinking goes much further. Rather than setting prototyping as the objective, it focuses on product maturity from the outset; use and application are considered as the next step in the process chain throughout.
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Customer Expectations
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Communities & Startups
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Trends & Disruptions
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Social & Technological Change
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Business Challenges
Big data Blog
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