Abstract: Embodiments disclosed include computer automated systems and methods to aggregate a plurality of data types from a corresponding plurality of data sources in a time synchronized multi-dimensional, time series fashion, analyze the aggregated plurality of data types from the corresponding plurality of data sources, and output actionable data based on the analyzed aggregated plurality of data types, and based on the output actionable data, control some or all of the plurality of data sources. Embodiments disclosed include, a control engine, the trigger by instructions from an analytics engine, configured to initiate a control action in at least one of a facility, a single or plurality of devices, a point of sale system and a digital signage equipment, at least one of a service, a counter, a promotion, a quality check, an update and a device orchestration.

Abstract: Embodiments disclosed include computer automated systems and methods for aggregating data from a plurality of data sources, such as proxy devices, legacy protocols, devices, applications, machines, sensors, things across locations and user types, or device clouds among devices and applications. The aggregated data is then normalized and the normalized data is analyzed. The analyzing is based on a correlated event or events, a correlated condition or conditions, and a correlated trend or trends across the plurality of data sources. And based on the analyzed data, relevant aggregated and normalized data is combined and displayed in a display compatible format. Additionally, user needs are determined based on the analyzed aggregated, normalized data. The user need comprises a need for an item or items comprising at least one of a service, a product, and an upgrade of hardware or software components.

Abstract: Embodiments disclosed include computer automated systems and methods for aggregating data from a plurality of data sources, such as proxy devices, legacy protocols, devices, applications, machines, sensors, things across locations and user types, or device clouds among devices and applications. The aggregated data is then normalized, and the normalized data is analyzed. The analyzing is based on a correlated event or events, a correlated condition or conditions, and a correlated trend or trends across the plurality of data sources. And based on the analyzed data, relevant aggregated and normalized data is combined and displayed in a display compatible format. Additionally, user needs are determined based on the analyzed aggregated, normalized data. The user need comprises a need for an item or items comprising at least one of a service, a product, and an upgrade of hardware or software components.