Big Data Mining Helps Identify Contaminated Food Sources

Image Credit: davisclipper.com

Image Credit: davisclipper.com

Editor - Data mining today, especially with DigitalCoCo's Social Insights tools using RSMI Restaurant Social Media Index proprietary technologies, allows restaurant operators to ask almost any operational question. Could operators use social to pinpoint locations that struggle with above-average quantities of poor customer service? Yes, and DigitalCoCo could show that. A great example of data mining follows:

Identifying the source of foodborne disease outbreaks is not always easy. Some outbreaks have quite long incubation times and getting consumers to remember exactly what they ate some weeks ago is almost impossible. However, IBM has developed a tool that may help.

Using novel algorithms, visualisation and statistical techniques, the tool can use information on the date and location of billions of supermarket food items sold each week to quickly identify with high probability a set of potentially ‘guilty’ products within as few as 10 outbreak case reports. Read More..