The biggest hurdles to using company data profitably are data silos, high complexity, lack of governance and manual, analogue processes.
We can advise you across all cloud and analytics areas with individual support – from the concept and implementation to operation.
From initial concepts and solution architectures to an embedded and comprehensive strategy on how to deal with big data and exploit its potential – we support you all the way.
We build your individual solution. An iterative and transparent approach produces fast and targeted results.
We take care of your daily operational activities, such as monitoring, availability, backup and operational tasks, and also provide optimisation recommendations.
Cloud analytics solutions are becoming increasingly popular: Easy to use, accessible and quick to deploy, they have an accelerator effect for companies that want to extract business-relevant insights from data.
Dynamically adapting services or infrastructure to the workload maximises cost effectiveness. Flexible scaling brings additional efficiency.
With PaaS and SaaS services, you can greatly accelerate your project turnaround time; many functions can be used out-of-the-box, with infrastructure often irrelevant.
Cloud providers are constantly improving their products, allowing smaller companies to take advantage of enterprise software and innovations, and eliminating lengthy and cumbersome update cycles.
A company's data strategy is as individual as the company itself. We work with you to develop individual solutions – in the cloud, on premise or in a hybrid model. Typical use cases include modernising a data warehouse in the cloud, processing and analysing IoT data or creating a data lake for innovative ML and AI use cases.
in real time
Goods inspection company SGS is increasing quality assurance with IoT: sensors monitor huge grain silos in several countries. As soon as the temperature, humidity or CO2 content changes negatively, the silo operator is informed.
Increase productivity, understand customers better or react in real time using multi-structural data.
State-of-the-art solutions: on premise, in the cloud or hybrid – exactly where you need the data.
An iterative and agile approach gives you fast results.