To secure the necessary capital investments, mine operators must deliver increasing transparency and compliance at the project-planning stage to a variety of stakeholders. This SaaS solution allows analysts and project leaders to value and evaluate projects in a much less labour-intensive way than is common. It allows them to see cost benchmarks from comparative projects moving beyond the spreadsheet. Team members begin by entering project information into a secure web browser. They then get detailed predictions of how their project is likely to perform, based on advanced economic modelling and predictive analytics. The solution assists with portfolio management, group accounting and project monitoring and visualising a project over time on a bespoke development basis. It lets users model and plan for best and worst-case scenarios. It provides risk assessment and modelling against key outputs, such as: IRR; NPV; cash margin; profitability index and sensitivity delta cash-cost separation. This solution also gives users access to a library of case studies from over 900 similar projects, including private and public data. The models are fully auditable and scalable, they can work for large or small teams. This tool helps to speed up project management and development, improve compliance, cut project costs and increase productivity.

In planning and modelling minerals projects at the valuation and evaluation stage, it is typically a complex inefficient collaboration effort with numerous spreadsheets being worked on, emailed around and versioned in order to get to a consensus position. It’s also common to want to compare with benchmark data which requires additional import and data configuration adding further complexity and potential errors to the modelling effort. Analysts may build in formulae which are not transparent to decision makers, and version controlling is immensely difficult let alone scenario planning. Furthermore the lack of standardised ways to model creates confusion and lack of trust in the models when subject to deeper review at a later stage. What is needed is a far more robust and simpler system that provides auditability, standardisation, benchmark comparisons, version control, multi-analyst collaboration and advanced predictive modelling, all managed outside the world of spreadsheets.

This web-based solution allows analysts and project leaders to value and evaluate projects in a much less labour-intensive way than standard. It also allows them to see cost benchmarks from comparative projects moving beyond the spreadsheet. Team members begin by entering project information into a secure web browser. They then get detailed predictions of how their project is likely to perform, based on advanced economic modelling and predictive analytics.