Highly valuable operational data is trapped inside machines, devices, and sensors. Vendor lock-in, proprietary protocols and lack of interoperability have inhibited machine data to be shared and used to govern and unlock efficiencies.
Internet of Things (IoT) contains a broad range of sensors, machines and devices, present in almost every facility. These assets contain a huge variety of data that still remains poorly explored, but can be potentially used for clever intelligence to the companies.
Tons of in-transit data remain hidden due to the difficulty of collecting and processing these temporary transactions flowing over the network (API, XML integrations, etc.) without the hassle of modifying the backend systems.
Unconsolidated IT landscapes with legacy systems and/or heterogeneous technologies are the main reason why the companies still have data silos. They face a big challenge to integrate such distributed silos into corporate intelligence.
