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# System prepended metadata

title: Solution Name

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# Solution Name
•	Insurance experience analysis with graph technology
# Describe your solution; What problem you are solving
•	Insurance loss experience is highly related to factors associated with the insured.  During the life of an insured (e.g. person or property), there are events in its policy lifetime that can impact the loss experience associated with the insured.  We intend to leverage the graph technology to study the relationships between these events and the loss experience.
# Solution Features
•	Data modeling of insurance entities in a graph database (Arangodb)
•	Capture events for the duration of an insurance policies and its loss experience
•	Leverage streaming technology to capture events data where it is applicable (potential additional use case)
# Technologies and architecture used
•	Graph database in Arangodb
# What your code is designed for
•	Explore loss experience in an insurance line of business (e.g. health)
# What your code was written in
•	Arango AQL, Linux Shell scripts, Jupyter Python Scripts.
# Open source or proprietary software used (if applicable)
•	Arangodb
# Why it's cool
•	Unleash the potential of graph technology within Arangodb
•	Building solution on top of our current technology stack within Prophet Suite.  Hence, adding business value without additional cost
•	Getting insurance data into a graph data model to leverage the connected relationships to provide instant visualization benefits.
# What’s your WoW factor?
•	Graph database can enhance experience analysis including but not limited to the following:
1.	Build direct relationship between “nodes”.  For examples: Provider -> Insured -> policy -> claims.  The relationships enrich search capabilities and hence more easily to find causation between data objects.
2.	Provide agility to add new attributes into the graph without the rigidity as compared to a relational database.
3.	Can tap into unstructured data where applicable
•	Uncovered probably hidden relationships between rating factors and loss experience because of the nature of relationships.  As such, new insurance products or marketing scheme can be developed by our insurance clients.
