Data Services
IT architectures in transition
The constant progress in the digital world and the associated new data sources pose a challenge for today's IT architectures. In order to make the most of these new opportunities, a smart data architecture with suitable analytical services is required - so-called smart data services.
A smart data architecture can handle structured and semi-structured data and process and store it in classic "night runs" or near-real-time (right-time) integration processes. The timely storage of volatile data, for example from machine sensors, is particularly important for long-term analyses or predictive maintenance.
Smart data architecture is at the heart of combining traditional ERP or CRM data with data from social media channels, for example. This makes it possible to obtain relevant information for business management.
A smart data architecture provides the necessary data basis at the right time, in the right place, at the right level of detail and in a secure state so that smart services can be used on this basis. These can be use cases for data analytics, planning or artificial intelligence - or ideally everything combined. Our experts will be happy to support you with the implementation.
