ioQA Reporter in the Mining Industry
Lack of confidence in the data leads to poor decisions
If existing quality control (QC) systems are difficult to use or produce non-standardised outputs, the ability to quantify levels of risk or identify key causes of error in a timely fashion is compromised. The end result is wasted time and money.
Assays and other measures act as key parameters for monitoring business performance across a mining operations. Implicit in their use is the assumption that “The quality of data must be known before it can be used in a logical sense”1.
Although implicit, this assumption is often forgotten resulting in data of unknown quality (accuracy and precision) being used for modelling, classification, optimisation, scheduling, metal accounting and for payment of final product. Using data of unknown quality in these key decisions can lead to:
- errors of bias (I paid too little/too much);
- reconciliation (incorrect recovery calculations);
- allocation (ore to the waste dump); and
- imprecision (poorly defined grade boundaries).
Inconsistent reporting creates inefficiency and confusion
Metrics related to data quality may also be calculated and portrayed differently in different parts of the business. This impedes rapid decision making and wastes time by inducing confusion.
Further, many companies are required to report the results of their QC programs to demonstrate compliance with mining codes (JORC, SAMREC, AMIRA P754 Metal Accounting & Reconciliation, NI 43-101) or internal key performance indicators (KPIs). These reports are often prepared in an ad hoc manner and the data presented inconsistently. This causes unnecessary complexity for external review parties, which costs time and money to resolve.
ioQA™ Reporter addresses these key industry challenges
ioQA™ Reporter (Patent Pending) captures the knowledge of the world’s leading QA/QC experts into an optimised workflow, enabling standardised expert analysis of QC data across all operational areas.
ioQA Reporter has been purpose built with these capabilities:
- Automated creation of expert quality assurance (QA) reports so that you can create reports in minutes rather than weeks, freeing your staff from manual laborious tasks and enabling them to focus on high-value-adding activities.
- Incorporates knowledge and best practices from top QA/QC experts in the industry to ensure you have the optimal tools for evaluating and controlling your data quality and for producing best-practice reports.
- Rapid and simple enterprise-wide deployment through the Web browser to enable production of standardised reports that are consistent across the enterprise so you can share these reports with all of the key people, including external partners.
“All analytical measurements are wrong: it’s just a question of how large the errors are, and whether they are acceptable.”2
1. J.K. Taylor, Quality Assurance of Chemical measurements 1987 Lewis Publishers USA
2. G.F. Thompson, Proceedings of the 3rd International Symposium on the Harmonisation of Quality Assurance Systems in Analytical Chemistry, 1989, 183-189
Learn more about how ioQA Reporter can dramatically improve the effectiveness of your Quality Control (QC) program, while lowering costs and creating standardised best-practice QA reports that can be shared enterprise wide.