Further Edge services the insurance sector through:
- Advanced big-data platform
- Flexible and comprehensive enough to allow end-to-end design of actuarial and financial predictive analytics models
Further Edge services the insurance sector through:
- Advanced big-data platform
- Flexible and comprehensive enough to allow end-to-end design of actuarial and financial predictive analytics models
“Further Edge represents a unique innovation which would provide the best retrospective and predictive analytics solutions to all data-intensive industries.”
Message from the founders
Capitalising on the regulatory experience of its founders, Further Edge was conceived to resolve many challenges by providing an integrated, efficient and agile platform featuring the following:
Completely web-based, built from the ground up on big-data technology;
Can run on major vendors e.g. Amazon Web Services, Microsoft Azure, Google Cloud…;
Fully integrated solution with built-in and third-party libraries e.g. Python, and R that can address a variety of insurance requirements involving historical and predictive analyses;
Fully expandable via third-party plug-ins to provide complex calculation engines and capabilities, such as capital modelling, artificial intelligence / machine learning and others.
A cloud-based business analytics big-data platform, with special emphasis on actuarial and financial modelling.
The user is presented with a full set of data manipulation, analysis and visualization tools, allowing him to design the entire process on the web and retrieve real-time results irrespective of the data volume.
The platform comprises three major components
- A data manager
Handles bulk input data or automated collection from different sources including live feeds and IoT devices - An advanced process builder
A powerful ETL engine with scripting libraries from R and Python for complex data manipulation, and support of third-party plugins for extended functionalities. - A dashboards builder
Extensive dashboarding and charting library to create dynamic, interactive and exportable reports.
Through our experience, we have seen the insurance industry lag behind in terms of using cutting edge technologies to resolve day to day challenges:
Ridden with heavy and rigid legacy configurations, it usually involves several vendors, which makes it prone to errors, frictions and inefficiencies.
– Insurance regulators
– Insurance and reinsurance firms
– Healthcare providers
– Any data intensive industry in need of complex predictive analytics e.g. telecom, energy, motor, F&B, etc.