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All businesses and consumers know the value of quality.  Agricultural producers know the quality standards that the meat processors, grain buyers and supermarkets require in order to achieve premium prices. Coal producers know the importance of providing products that meet the quality and consistency standards of their customers.
Scientific research, monitoring and analysis of water, air, dust, soils etc is no different – if the client does not receive reliable data that meets the industry and statutory requirements, then their market and business risk increases.  Poor quality methodologies mean that samples submitted for analysis will yield poor quality (inaccurate) and inconsistent (imprecise) data – which may result in poor decisions or outcomes on critical issues such as:

  • whether a site meets industry and/or statutory compliance
  • whether a site or business activity has to be suspended, stopped or closed permanently
  • whether remedial action has to be implemented, and the urgency of that action
  • whether there are health, safety or environmental risks at the site
  • whether research or project results and conclusions are valid for investment decisions.

It is always better to do less, but to a quality standard, than to do more to a sub-standard level, because the client wants confidence in the results and products.
In a period of low economic activity, there is always pressure to cut costs, but make sure quality is maintained because mistakes can be very costly.

As the photo says: “The Bitterness of Poor Quality remains Long After the Sweetness of of Low Price is Forgotten”.