1. A computer-implemented method of generating and utilizing metadata from a notation comprising: receiving a set of tags; receiving, at a computing device with a processor, a notation entered by a representative, wherein the notation is associated with content in a communication between the representative and a customer, wherein the customer is a selected customer and wherein a selected tag is the selected customer's tag, and wherein a database comprises events associated with other customers and tags associated with the other customers; analyzing, via the processor, the notation, wherein the notation comprises imagery; identifying the selected tag, from the set of tags, to be associated with the notation; analyzing the other customers' events and the other customers' tags; identifying a correlation between the other customers' events and the other customers' tags, wherein the identifying the correlation includes identifying a number of other customers that meet each of the following criteria: the identified other customers are each associated with a same correlated event; the identified other customers are each associated with a correlated tag that is the same as the selected customer's tag; and wherein the identified other customer's correlated tag was stored before the selected customer's correlated event occurred; and generating an indication of a predicted event for the selected customer, wherein the predicted event is at least partly based on the correlation between the other customers' events and the other customers' tags.
1. A computer-implemented method of generating and utilizing metadata from a notation comprising: receiving a set of tags; receiving, at a computing device with a processor, a notation entered by a representative, wherein the notation is associated with content in a communication between the representative and a customer, wherein the customer is a selected customer and wherein a selected tag is the selected customer's tag, and wherein a database comprises events associated with other customers and tags associated with the other customers; analyzing, via the processor, the notation, wherein the notation comprises imagery; identifying the selected tag, from the set of tags, to be associated with the notation; analyzing the other customers' events and the other customers' tags; identifying a correlation between the other customers' events and the other customers' tags, wherein the identifying the correlation includes identifying a number of other customers that meet each of the following criteria: the identified other customers are each associated with a same correlated event; the identified other customers are each associated with a correlated tag that is the same as the selected customer's tag; and wherein the identified other customer's correlated tag was stored before the selected customer's correlated event occurred; and generating an indication of a predicted event for the selected customer, wherein the predicted event is at least partly based on the correlation between the other customers' events and the other customers' tags. 5. The computer-implemented method of claim 1 , wherein the predicted event is the customer buying a car.