DataBeacon is a multi-sided data platform. Enabling value-creating data interactions requires open, participative IT infrastructures for these interactions and governance conditions that respect your data confidentiality. We aim to foster collaboration through the exchange of information, enabling value creation for all participants without sharing private data.
DataBeacon complete analytics environment offers on-demand cloud computing architecture for analysis and applications. After secure login, a complete data science development environment launches, including toolsets such as Python, Hadoop, Spark and the Anaconda ecosystem. Secure access to a Jupyter notebook allows analysts to work remotely with protected data – no data leaves the cloud. Additionally, a GitLab repository serves as a collaborative and monitoring tool.
Private environments hold data but are not accessible by applications or analysts directly. Our Smart Data Fusion (SDF) technology merges private data from different sources using secure techniques. This enriches each isolated data set by combining multiple sources of data, which in turn creates a 360 degree view of data while also respecting the privacy and confidentiality of the data owners.
PRIVACY BY DESIGN
Different data owners and consumers of analytic services interact through DataBeacon and, by using secure, common exploitation of data, improve their performance alongside various aspects of their business.
CLOUD AND EDGE READY
With an hybrid approach DataBeacon gets you covered. Raw data remains to the edge of your network or cloud. Only de-identified data moves to your private cloud environment.
Integrated support for Tableau dashboards provides you an easy way to develop and deploy visual dashboards for easy consumption of your data.
CENTRALIZE THE CONTROL OF YOUR DATA
Collaborate with other with data, anonymized data or even analytics on your data without losing control of what you share and whom you share it with.