Industrial data analytics in a cloud platform

A method for analyzing industrial data, comprising:

• receiving, at a cloud platform by a system comprising at least one processor, data from an industrial device of an industrial enterprise, wherein the data comprises at least process data relating to an industrial process controlled at least in part by the industrial device appended with a plant site identifier identifying a plant site at which the industrial device is located, a production line identifier identifying a production line associated with the industrial device, and device identification data identifying the industrial device;
• storing, by the system, the data in cloud-based storage with other data collected from other industrial devices of other industrial enterprises;
• filtering, by the system, the data and the other data in the cloud-based storage according to an industry type and a type of industrial application defined on a customer model to yield filtered data;
• identifying, by the system based on an analysis on the filtered data, at least one of a predicted performance issue of the industrial device or a configuration modification for improving a performance metric of the industrial device;
• and
• in response to the identifying, sending, by the system, output data to a client device via the cloud platform, the output data identifying at least one of the predicted performance issue or the configuration modification.

A non-transitory computer-readable medium having stored thereon computer-executable instructions that, in response to execution, cause a computing system to perform operations, the operations comprising:

• receiving data from an industrial device of an industrial enterprise via a cloud interface and storing the data on one or more cloud storage devices of a cloud platform, wherein the data comprises at least
• production data associated with an industrial process controlled in part by the industrial device,
• plant site identifier identifying a plant site at which the industrial device is located, a production line identifier identifying a production line associated with the industrial device, and
• device identification data identifying the industrial device;
• aggregating the data with other data received from other industrial devices of other industrial enterprises;
• filtering the data and the other data in the cloud storage devices according to an industry type and a type of industrial application defined on a customer model to yield filtered data;
• determining, based on an analysis performed on the filtered data, at least one of a predicted performance issue of the industrial device or a configuration modification for improving a performance metric of the industrial device;
• and
• in response to the determining, sending output data to a client device via the cloud platform, the output data identifying at least one of the predicted performance issue or the configuration modification.