More and more small embedded computers with attached sensors and actuators can be found within our daily life. They help to sense the environment around us, help to get a better understanding of what is important for us, our well-being and help to avoid both exhausting and boring repetitive tasks. For companies sensors and event processing give valueable real time insights enhancing the cababilities of traditional business intelligence by far. Nevertheless those data sets might tell stories about us, our habits and little secrets most people are not even aware of themselves. This might lead to a low accpetance of IoT products and existential threats when internal data stores are hacked, silently.
We support customers developing new IoT solutions and help them to analyze the resulting data sets while keeping a reasonable balance between expected insights and the loss of privacy and business secrets.
Electric mobility, new ways of public transport, ride sharing - the way we organize our ubiquitous wish and need to be mobile and the transport of our goods is changing rapidly. Smart mobility today is highly data-driven and no longer just optimizes the direct costs of movement. It also tries hard to minimize the negative consequences of transport and mobility for our clima and our environment and to achieve best overall customer satisfaction.
We help customers to build next-generation mobility solutions based on open standards and provide best implementations for optimized performance and minimize maintenance costs.
Interested in smart e-mobility? Open Charging Cloud
"Software and connected data is eating the world" - only people who can make the most out of fast data processing in an ever changing open world will be able to shape the future and adapt their business models to the requirements of tomorrow. This affects not only Open Government Data but also Open Corporate Data between collaborating companies how want to reduce todays high costs of data integration.
We help customers to create, curate and share their own data sets, reuse existing data sets and refine both via powerful data analysis tools and data management processes.