Actualidad: How to “digest” your IoT data
Logistics practitioners have applied internet of things (IoT) technologies to their operations at increasing rates in recent years, seeking to collect new data that could help eliminate blind spots throughout their supply chain s. By attaching web-connected sensors to objects, this approach can improve visibility over almost any physical “thing”—items such as inventory, pallets, scanner guns, or lift trucks—and monitor and track a wide range of variables, from location to exposure to light, vibrations, and temperature. However, as users increasingly monitor those items, many companies face a growing problem—what to do with all the data. Depending on how many “things” are in your IoT and how frequently you collect their status reports, an organization can quickly compile a deep database of digital records. And that presents a challenge: Exactly how do you analyze all those numbers, and how do you act upon the results? There’s no question that demand for the visibility data generated via