MavenBlue - Balance Sheet Management (BSM)
Type of system
- Analytics
- Asset/liability management
- Capital modelling
- IFRS 17 solution
- Internal/external reporting
- Portfolio analysis/hedging
- Solvency II solution
- Stress and scenario testing
- Marginal Impact Analysis Of Insurance M&A
Type of platform
- Cloud
- SaaS
- Web-based
Other features
- Least-squares Monte Carlo
- Replicating portfolios
- Solvency II internal model
- Solvency II standard formula
Has the product an open API? Yes / No?
Yes we do, the primary challenge is getting data into BSM and these are processes we can help automate.
What are the typical implementation costs for your product?
Implementation costs are limited. In principle, there is an annual subscription for BSM. Setup time is often a couple days and MavenBlue adopts a customer success framework in which we help customers setup/calibrate their instance.
How long does your product take to implement on site?
BSM is a SaaS solution. It means all you need to access the platform is a webbrowser. It means data and analysis is centralised, maximising collaboration. Access is set up in minutes and is often provided as part of co-creation workshops and possibly proof of concepts.
Please name companies that use the system/product
MavenBlue has been a great success in the Dutch insurance market with most insurers using MavenBlue for Balance Sheet Management i.e. NN, ASR, Aegon, Athora, Lifetri, Klaverblad, Onderlinge S'Gravehagen, and many more.
Product summary: Please summarise your product’s key points for re/insurers in no more than 100 words.
BSM centralises the forward looking analysis process into one single web based platform. The goal is to make the process more dynamic. Enabling the user to understand the impact of change quickly. It also allows users to build many different versions of the balance sheet. Helping them identify the right balance sheet configuration given their risk appetite and desired return profile. Particularly in Insurance M&A, BSM can help insurers understand the impact of incoming portfolio’s an identify capital efficiencies. However, it is also particularly helpful for ORSA and ALM Studies.