Mining Modeller

Our value proposition is simple : CONVENDIA Mining Modeller helps management of mining companies (or other natural resource companies) to forecast cash and recognised revenue and funding requirements better.

CONVENDIA allows you to have greater transparency of the potential value of your mining properties, and to design a capital raising strategy around that. All capital raising requires dilution of some kind, and for founders of companies this creates choices of whether to retain the same level of control or whether to optimise the value of ones shareholding.

Inevitably funding will not be raised at the level hoped for, so how much difference do various funding scenarios make to fair value per share, and would it meet present shareholder needs more to develop the property or to sell it with some royalty arrangement?

CONVENDIA allows you to look at the choices rationally and objectively, and creates value through allowing your crucial financial decisions and forecasting to be based on better and more objective information.


Find out more

Contact us to learn more about how Revenue Modeller can help you

Like to learn more about how we can help ...provide CxO's accurate financials at the touch of a button| ...provide full cash and revenue implications of changes to deals in your sales pipeline | ...lift corporate financial fog to enable better strategic decisions | …provide fully automated cashflow and revenue forecasting | …reduce manual risk and operational inefficiency in consolidating data | achieve transparency of financial information to key stakeholders | …spend less time on revenue forecasting data in spreadsheets | …provide accurate, real time revenue financials at the touch of a button| ...speak a common language on sales and cash through your organisation | ...improve visibility of achieving sales targets of the sales pipeline | ...make your meetings on revenue shorter and more focused | project change management impacts on corporate financials | ...value your project revenue streams | …model internal and external environment factors to predict the future