Reconcilor 9.10.4 introduces several practical improvements across analysis screens and dashboards, giving you more flexible grouping by period, clearer stockpile visuals, enhanced dashboard filters and improved control over default screen configurations.
In Pivot View, you can now group data by Financial Year Quarter when choosing row and column dimensions, with options for Financial Year and Calendar Year quarters and their abbreviations. This brings Pivot View into line with the Trends and Model Comparison modules, so you can work more consistently across screens.
In Stockpile Analysis, any stockpiles without a configured colour now display with automatically generated colours, making charts easier to read and improving visual differentiation.
Dashboards now give you greater control over how filters behave. The Period and Location filters each include a checkbox that lets you decide whether they apply globally across all tiles. When you leave a filter unchecked, each tile keeps its own saved filters, and the same behaviour carries through to any configuration you open from the dashboard.
On the Analysis Configurations screen, you can also view and manage system default screen configurations created during implementation, provided you have the right permissions. A new Default option lets site administrators nominate a configuration as the system default for a screen, while ownership rules help protect those shared defaults by allowing only the configuration owner to save changes directly.
This release also includes underlying changes that support these enhancements and improve overall reliability. It also delivers a range of defect fixes across the product, helping provide a more stable and consistent experience.
About Reconcilor
Reconcilor enables mine operators to reconcile their reserve estimates and predicted versus actual production from geological model to commodity production. Reconcilor delivers rigorous and systematic analyses of resource factors across the mine value chain that drive continuous improvement to obtain better geological and grade estimates, more accurate mining predictions, improved recoveries, maximisation of the resource, and reduction in risk due to unexpected metal loss. Used by managers, geologists, metallurgists, and engineers, this comprehensive solution includes geological model reconciliation, built-in data validation, intuitive analysis features, and comprehensive reporting. By automating data imports and validation, Reconcilor enables early detection of data issues, supports informed decision-making, and ultimately helps to lower costs and increase profitability.
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