Real-time interactive event analytics

A computing system comprising a processor and a non-transitory computer-readable medium coupled to the processor, the non-transitory computer-readable medium including instructions which, when executed by the processor, cause performance of a method comprising:

• correlating a plurality of event datasets to include a common visitor identifier for a visitor;
• causing display, via an analysis interface, of information about the plurality of event datasets;
• receiving, via the analysis interface, user selection of two event datasets, of the plurality of event datasets, the two event datasets comprising a first event data set including browser activity of the visitor and a second event data set corresponding to activity of the visitor from one or more of a telephone interaction, an in-person interaction, or an internet of things device interaction;
• based on the selected two event datasets, generating a combined event dataset;
• receiving, via the analysis interface, user input specifying information requested about the combined event dataset;
• obtain the requested information about the combined event dataset;
• and
• causing display, via the analysis interface, of a visualization of the obtained information, wherein the visualization is based on event data from the combined event dataset in chronological order.

A non-transitory computer-readable medium having instructions stored thereon, the instructions executable by a processing device to perform a method comprising:

• correlating a plurality of event datasets to include a common visitor identifier for a visitor;
• causing display, via an analysis interface, of information about the plurality of event datasets;
• receiving, via the analysis interface, user selection of two event datasets, of the plurality of event datasets, the two event datasets comprising a first event data set including browser activity of the visitor and a second event data set corresponding to activity of the visitor from one or more of a telephone interaction, an in-person interaction, or an internet of things device interaction;
• based on the selected two event datasets, generating a combined event dataset;
• receiving, via the analysis interface, user input specifying information requested about the combined event dataset;
• obtaining the requested information about the combined event dataset;
• and
• causing display, via the analysis interface, a visualization of the obtained information, wherein the visualization is based on event data from the combined event dataset in chronological order to show cross-channel activity of the visitor over time.