With a program like ItemPath, you can collect a lot of data.
For starters, each individual (serialized) item is tracked at every step along its journey. Custom attributes about the items are also gathered. Then compliance (quality and safety) details and location details are tied to the items' history.
This is an example of what people are calling "Big Data".
Making Sense of all the Data
One of the prevailing questions about the "Internet of Things" (IoT) and the amount of data that is being gathered is how will people make sense of all this data?
What's need are tools that will enable people to set up custom queries on the data to pull up meaningful reports.
ExamplesTake a look at some of these scenarios:
- A health & safety issue is found. Where did all the products end up that were handled by Rob on March 22?
- I need the certificates that accompanied a specific component that was used to make this item.
- Show me a list of all the inspections that were done by Paul in April when the temperature was below -10C.
- I'd like to see the temperature and humidity history of component X used in making this item.
- Show me the quality checklist (Snapshot) that was filled in during the production run when making this item.
- We need to quarantine or recall all the products that were made with a certain component that came from the same Supplier and Lot as this item.
With ItemPath, you can get quick answers to questions like these. It lets you first of all track your items and automate the collection of custom attributes and conditions (using the Internet of Things). Then it has built-in reporting and analytics to let you set up your own queries to find the answers you need.
Try it. Create an account at itempath.com.
ItemPath: Build a detailed history of everything.