Data can be a very powerful tool, but only if it is used in an effective manner. It needs to be easily consumable and understood by all levels within an organization. “It’s great to collect information, but if you don’t do something with it, you’re not doing yourself, your facility or your employees any favors,” says Holly Mockus, product manager at Alchemy Systems. “It can really trip you up during a regulatory inspection to have all of this information that you haven’t looked at, tracked, trended or reacted to.”
As FSMA places more importance on documentation and record keeping, FDA-regulated facilities will need to not only capture information but also translate data into easily digestible content for management and employees in order to drive continuous improvement. In a discussion with Food Safety Tech, Mockus shares some key points on how companies can transform their data from numbers and statistics into meaningful and actionable information.
- Collect meaningful data from the start. From the beginning of the data collection process, be mindful of exactly what outcome the organization wants to achieve. Having an understanding that the data will be measured and acted upon encourages facilities to avoid gathering information just for the sake of collecting it.
- Involve the employees who actually collect the data. Data is more meaningful when employees understand why they’re gathering information and are involved in the process from the beginning.
- React to the data. If the information reveals a good or bad trend, or that a process or procedure is out of spec, take action. In addition, document how the business reacted to the issue and the corrections that were put in place.
- Close the loop for continuous improvement. Establish a closed loop for data collection, focusing on how gaps were addressed, with an emphasis on continuously improving on the process.
- Really examine the data collected. Whether collected for a product, process or equipment line, sit down and take a close look at the data. This exercise is intended to reveal redundancies across departments and help reduce record keeping tasks.
Food Safety Tech: How do companies transform data into a meaningful tool for management?
Mockus: That’s such a challenge for us. It should be easily consumable, especially for management and the higher ups in organizations, because they don’t have as much time to sit down and digest a 20-page document that’s full of numbers and statistics. Work towards to summarizing the information in a way that allows executives and plant managers to look at a graph and know instantly what it means; they don’t need to get into the nitty-gritty. Simplifying the scientific data, whether environmental sampling, quality assurance data, or microtesting in general, and taking it down to base a level so that the non-scientist can understand it—I think that’s something we have to work on, especially for those coming under more regulation. Keep in mind that people who look at the tracking and trending [might not] understand graphs and scientific terms.
A lot of people put the data into a graphic format—it doesn’t have to be a line graph or pie chart, it can be a red, yellow, green [indicator] or a scale of justice. Look at the graphics that are meaningful to your specific organization and use those. Be creative, but keep it simple.
FST: When companies set metrics, how can they ensure that those metrics are taking them in the right direction from a food safety perspective?
Mockus: Especially when you have metrics that are tied to performance for a manufacturing facility, you want to be careful how you set them and how you reward them. For example, if your metric for environmental testing is very low or at zero, you’re encouraging your workforce not to find those Listeria niches or areas in which Salmonella can grow, because you’re telling them that they have to be at a zero rate to be incentivized. It’s more about measuring the outcomes of the activities—are we finding the niches and eliminating them so we don’t have those issues versus saying we want to be at “zero”? [It’s important] to work with upper management so that they understand the consequences of their expectations and the incentive programs that they put in place.
Amen! Data now can even revolutionize handwashing.