Dashboard usage is prevalent across all industries worldwide. Whenever there’s a need to process data and display key graphs and metrics quickly, reliably, and in a visually appealing manner, a dashboard is created. It serves as a dynamic graphical interface showing crucial information on the status and trends of a particular process, aiding decision-making.
At the SRK Lima office, a tool was developed to centralize information for a mining company. The initial module was implemented using Power BI. However, due to the need for complex calculations and charts, programming beyond the capabilities of Power BI was required.
The mining company possessed ample data from prisms and inclinometers for monitoring three tailings dams, which were not being adequately analyzed. SRK was contracted to manage the data: cleaning, transforming, presenting and interpreting it using top computational tools. Based on initial evaluations, specific technologies were recommended, with Dash and Python as key tools.
Using a framework like Dash reduces development time, but requires users to adhere to the software’s rules and formats. Dash allows comprehensive dashboard preparation, combining tools like HTML, Python, CSS and custom methods to represent any visualization, design, metric or table.
This approach has been applied only internally at SRK and in the specific mining operation scenario described; however, there is significant potential for broader application across other mining operations that need to leverage real data for informed decision-making.
Contact the authors in the SRK Peru office.
