When mining for diamonds, one metric ton of rock must be scrutinized to turn up one gram of diamonds. Data mining in food manufacturing can be equally as tedious. Isolating critical pieces of information can be cumbersome, but when identified, it brings prominent value through insights and mitigating risk. Food quality and supply monitoring professionals are often focused on product performance trends over time. So even with a strategic food quality and safety monitoring program, critical values can get lost in the mean when trending big data. Finding the anomalies requires continuous monitoring and countless hours of research through thousands of data points daily.  Continue Reading