Copper Mining Integrated
Discover how we automated planning processes to enable agile decision making for a copper mining operation.
Discover how we automated planning processes to enable agile decision making for a copper mining operation.
Client Challenge
The client wanted to understand how monthly differences in operational and financial drivers across actuals, budgets and forecast affect financial outputs.
They wanted to use actuals-to-date to automatically inform updated forecasts and predict operational and financial performance for the rest of the year.
Management also wanted the ability to run user scenarios on top of the base forecasts to test the impact and feasibility of different initiatives and capital project.
Running these analysis historically was manual and tedious, which hindered agile decision making.
The Solution
- Implement an integrated planning and forecast tool on the Qerent platform which automated the data ingestion process directly from source systems and streamlined planning process.
- The platform enabled variance and impact analysis to understand causality of variance across datasets.
- Automated cost forecasting based on historical actuals allowed for financials of different production profiles to be compared.
- Scenario modelling tools enabled agile scenario modelling to test feasibility of business cases and projects. Reporting from the model was automated.
Solution Value
- The tool allowed the client to quickly put together forecasts and business cases while significantly reducing errors. The turnaround time needed to put together a business plan forecast was reduced by approximately 80%.
- The tool’s scenario functionality and analysis tools was used to support capital project studies worth over R5Billion.