Every mine has targets, and in many mines, those targets exist in planning documents, budget files, forecast and plan models. Matching those targets with production figures accurately, consistently, and without demanding that everyone changes the way they work has been the hard part until now.
Eclipse makes it straight-forward.
Import Templates That Learn Your Format
The new Target Import module lets you define reusable templates mapped to your own file layouts. Run them whenever there are new budgets, forecasts are updated, weekly plans are completed or end-of-month actuals need to be recorded. Eclipse handles the translation between your files and its own data structures including resolving abbreviated labels, interpreting date formats, dealing with differences in spelling, finding the shape of your data within workbooks containing multiple sheets.
If you're not sure how to configure a template, Smart File Analysis does the heavy lifting. Upload your file, select the sheet, and Eclipse reads the structure and proposes a complete template configuration. It tells you what it found, what it resolved, and where it wasn't certain. You review, adjust if needed, and save. That template is then ready to run on the next file, and the one after that.
What Eclipse Does With the Data
Once targets in Eclipse, they're immediately available through the front-end and APIs. By translating that data into a structured, consistent format, Eclipse applies standard mining calculations to those targets, matches with actuals (calculated and imported), calculates variances and more, meaning that your engineers can concentrate on analysing your data instead attempting to match it. Whether you're pulling fleet-level availability and utilisation into Power BI, querying BCM and productivity figures in Tableau, or building a report in Excel Power Query, the data is ready to work with.
The level of detail is up to you. Some operations are well served by high-level outputs across all equipment. Others need average grades per analyte by pit stage and shift, compared against the targets set for that period. Eclipse supports both, and everything in between.
If an import brings in targets at a finer level of granularity than your department was previously reporting on, those targets are created automatically and are available for comparing with Actuals immediately.
Cross referencing and comparing data is often extremely difficult. Eclipse aims to make it easy.
If you wish to explore the demo at demo.eclipseminingware.com, contact us at eclipseminingware.com#contact.