The future: Global Risk Radar
The Global Risk Radar is the next level in big data risk management. It deals with all the shortcomings of traditional processes and tools (e.g. no availability of real time data) of the risk manager. Crawling and browsing big data with deep learning algorithms allows detecting potential risks and opportunities - even so-called weak signals - earlier than ever before. The assessment of any (weak) signal is objectified through bias exclusion algorithms and fully automated. The Global Risk Radar provides integrated inside-out/outside-in view (360°) for an early and effective detection of weak signals. This marks the end of detrimental risk silos.
Risks develop fast - Take action now and learn below how the Global Risk Radar suits your business needs.
- Software as a Service
Easy access – no special hardware required.
- On-Demand access
Start exploring your risks with one click – no installation required.
- Training and guidance
Customized training and guidance sessions by our Risk Management Analysts.
- Flexible subscription policy
Subscribe now – benefit from our individual contract duration options.
Early knowledge of emerging trends and topics is a prerequisite for staying ahead of the game. However, the growing mass of data exacerbates manual research. Considering this challenge, the Global Risk Radar has the potential to become an indispensable tool for any research activity. By semantically analyzing data and information from a daily growing database with more than 100 million text documents, it detects dependencies and performs in depth analysis of public opinions using natural language processing. The analysis reveals
- the frequency of occurrence of business relevant topics,
- the development of popularity regarding certain topic,
- and the interdependencies between different subjects.
Wealth of experience in a specific market or field trains one’s own gut feeling about changes in the market perception of certain topics. The Global Risk Radar fills the role of the dispassionate and profound sparring partner by analyzing trends in recurring patterns in semantic structures of mass information to be monitored in real time. The sentiment analysis reveals trends and early warning indicators and allows
Validity of analysis results is determined by the quality of underlying data and information. Coping with big data means dealing with factual as well as opinion-based information across different sources. Hence, results may have a substantial bias. The Global Risk Radar controls the bias with an automatic bias exclusion algorithm and thus helps objectifying results. The algorithm performs
Having a thorough understanding of one’s own risks and opportunities means keeping track of all relevant and potential stakeholders such as suppliers, customers or competitors. By combining machine learning, semantic analysis and an integrated inside-out/outside-in-view the Global Risk Radar analyzes the relationships with relevant peer groups and mirrors an objective self image.
The Global Risk Radar features deep learning and natural language processing of semantic, unstructured data and thus responds to digital challenges with top-notch technology. However, top-notch technology must be compatible with the tried and true to allow effective deployment. By assessing the impact and probability of detected risks and opportunities, the Global Risk Radar speaks the language of traditional risk management and associated tools. The objectification, quantification and automation of risk assessments via the in-built Risk-Opportunity Matrix allows the
Features & Values
Internal and external perspective
The radar brings together the internal and external perspective of risk management through screening of millions of web sources and also your internal data!
Identification and interpretation of events
Events and related actors are automatically identified and set into the right context. Interpretation through interactive visualization!
Risk and opportunity identification
Risk and opportunities are two sides of one coin. The radar identifies both and translates the findings into a visual Risk-Opportunity-Matrix!
Semantic analysis of qualitative data
By applying state of the art semantic algorithms the radar structures and quantifies qualitative data!
Trend identification and monitoring
The radar finds trends in recurring patterns in the semantic structure of texts and monitors them in real-time. Alarms and push notifications are triggered automatically!
How to assess which source can be trusted? The bias analysis allows to compare how different sources communicate about a certain topic!