Risk assessment for insurance
An insurance company automatically recognises organisations and their roles in expert reports in order to assess them in terms of risk.
Unstructured data from expert reports are made evaluable
Faster and more efficient risk assessment
The "risk" of a company becomes quantitatively measurable
Challenge
A client wants to assess organisations in terms of their roles for business-relevant events. There is only a large stock of expert reports describing the causes and courses of these events.
Solution
Available approaches for automated recognition and extraction of organisations and their roles from the available documents through text mining and natural language processing (NLP) are tested and evaluated. A user interface for validating the extracted data and analysing the organisations will be designed.
Result
A sustainable and scalable data model for the structured collection of relevant information is in place. The available methods have been evaluated and a concrete implementation proposal has been drafted.
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Challenge
An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.
Solution
There will be a interactive and Flexible application, including of different maps with two different views implemented.
Result
Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.
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