Software Alliance - Mo.net Excel Model Adapter
Type of System
- Asset/liability management
- Capital modelling
- Data management
- End-to-end ERM
- Front / back office illustrations & calculations
- Governance, risk, compliance (GRC)
- IFRS 17 solution
- Internal/external reporting
- LDTI solution
- Portfolio analysis/hedging
- Reserving solution
- Solvency II solution
- Spreadsheet risk management
- Stress testing
Type of platform
Other features - does your offering facilitate
- Least-squares Monte Carlo
- NAIC Principle-based reserving
- NAIC RMORSA
- Replicating portfolios
- Solvency II internal model
- Solvency II standard formula
What are the typical implementation costs?
The Mo.net Excel Model Adapter (“EMA”) allows any existing Excel-based workbook to be converted into an operational Mo.net project and is licensed on a per-user basis. A Mo.net Model Development Studio license is also required to use the Excel Model Adapter. The license cost is entirely dependent on the number of users requiring access.
How long does your software take to implement on site?
The Excel Model Adapter can be downloaded, installed & configured by end-users in a matter of minutes. No specific IT skills are required to get up and running.
Please name companies that use the system/solution
We have more than 60 successful client implementations around the world, highlighting the fact that Mo.net is entirely agnostic to regional / regulatory reporting environment.
Most recent significant update:
The first public release of the Excel Model Adapter was released in October 2019 following successful trials with a number of clients. This version includes the functionality to convert any unmanaged Excel spreadsheet to a fully managed Mo.net solution, either automatically or by hand.
Planned future enhancements:
We are planning a number of enhancements to the Excel Model Adapter over the coming months, to support a wider range of Excel features and therefore allowing more spreadsheet models & calculations to be moved into the Mo.net universe.
How does your solution integrate with third-party systems or in-house systems?
Primarily a standalone application, however once a spreadsheet is converted to a Mo.net solution, all the integration potential of the platform is available to the customer.
What is the key attribute of your product(s) that differentiates it from your competitors?
Convert high risk, poorly documented / controlled, slow and isolated spreadsheets into fully managed, high performance Mo.net solutions that can be integrated with the wider insurance enterprise.
What trends are you seeing in terms of customer demand?
Operational Modelling – clients want an operational modelling solution which has the flexibility to allow data and assumption changes. Also key is the ability to produce results on updated model versions without making custom changes to the system, but maintain control and governance over model code and inputs. We can meet this demand with our Operational Modelling Centre.
Conversion and rationalisation of spreadsheet (and legacy) modelling – customers often have long-standing spreadsheet models that have far outlived their original purpose and would be much better suited as models within a well-controlled and governed modelling platform. Our Excel Model Adapter is designed to convert these spreadsheets quickly and easily into such models, therefore speeding up and simplifying the process.
IFRS17 – there is demand for a modelling platform that can be flexible enough either to be used to produce end-to-end IFRS17 reporting metric calculations, starting with the valuation at policy level or to enable companies to load in cashflow data and carry out calculations at cohort level. The open, loosely-coupled, service-oriented architecture of the Mo.net platform, together with its industry-leading performance and integration features, makes Mo.net a genuine alternative to legacy financial modelling platforms when responding to the challenges of IFRS 17.
Mo.net - The Service Oriented Financial Modelling Platform Powering the Next Generation of End-to-End Insurance Modelling