Chasing tainted goods through a large supply chain isn't just about food. It's also about data.

A few errant records can spread like wildfire throughout your organization, and even to external clients or partners.

Treat this recent Cyclospora outbreak as a reminder to check your data supply chain. For each dataset, ask yourself:

❓ How did we get this?

❓ When did we get this?

❓ How do we test this?

❓ What downstream products (analyses, models, decisions) does it feed into?

❓ If we discover a problem in this data, how do we remove it from all downstream products?

If you don't have answers already, it's time to get them.