Reduce the cost of poor quality and boost your performance by tailoring your training, document management and quality management system to your specific data and processes.
Poor quality has an expensive impact on your entire value chain. In-process rejections, rework and scrap, product recalls, warranty claims and loss of goodwill are just some of the ways poor quality hurts both your reputation, your financial results and your production efficiency.
Both the root causes and the true cost of poor quality can be hard to pin down unless you know where to look. Incomplete data models, disconnected processes, flawed written procedures and inefficient training methods all contribute to eroding your profits. Experts have estimated that the cost of poor quality generally amounts to 5-25 percent of sales in a manufacturing or service company.
Poor quality impacts your entire business
Unlike the cost of poor quality, the cost of good quality is much more noticeable. Quality planning, training, inspections and laboratory testing all require both time and effort, qualified employees and the right digital tools. But the investment is worthwhile, because a solid quality management system is the foundation of every other part of a life sciences value chain.
There is a direct and well-established link between investments in quality and reductions in avoidable mistakes. The 1-10-100 rule of data quality (introduced by George Labovitz and Yu Sang Chang in 1992), states that $1 properly spent in defect prevention, is equal to $10 spent in product appraisal and $100 spent on product failures.
The important factor is that the investments in quality are guided by someone with the expertise and insights to combine industry best practices with your specific business need. That’s where NNIT enters the picture.
