Despite the importance of assumption management, many organisations still struggle to find a robust yet flexible solution to the problem and lack an effective assumption management framework.
Consuming a Web Service with Mo.net
Responding to a request from an existing client who wanted to connect their current Mo.net-based front office illustration platform with a new underwriting system, this blog article demonstrates how external API data sources can easily be used in a Mo.net model.
How to Start Planning for Pensions Dashboards
Drawing from our recent experiences in assisting clients with the design and implementation of pension dashboard solutions, this post outlines how we’ve supported them and provides valuable tips on becoming “dashboard ready”.
Best Practice Techniques for Scaling Your Models
The demanding regulatory environment increasingly places challenging stipulations around the number of model runs required and the timeframe in which results are to be produced. Combined with the ever-increasing volume of data that most insurers wish to process this can drive the need for a scalable model solution.
5 Minutes With… Cornelius Franken
Software Alliance’s Su Berry spends 5 minutes with Cornelius Franken of CJF Consulting to discuss his experience with Mo.net and the benefits it has brought to his actuarial modelling processes.
Overriding Task Inputs from Python
As part of Mo.net 7.6, we have extended the external interface to compiled Mo.net tasks so that it now accepts a Python list. This update allows a new array of inputs to be passed from Python to the compiled Mo.net task DLL without having to create an intermediate inputs file.
An Interview with Stephen Curle
We sat down with Software Alliance’s founder Stephen Curle to learn about the company’s highs and lows in the early days, and his thoughts on the future of financial modelling.
Modelling as a Query
One thing that I’m frequently asked is how client models can be better integrated with database or data warehouse environments. This article explores what else might be possible with Mo.net…
Case Study: Improving Models & Automating Processes for IFRS 17
Lisa Accos at Hachshara provides an in depth review of how the Israeli insurer improved their model to meet the new IFRS 17 reporting requirements.
Feeding the Python a Different Input
Following on from the Mo.net Loves Python series. this article outlines how to change the input data used by the Mo.net projection when being called from Python.