Abstract: Systems and methods to provide social analytics information are disclosed. An exemplary system may include a database and a server coupled to the database. The server may include a business analytics module configured to receive data related to a business and generate, based on the received data, a set of business analytics information, and store the business analytics information in the database. The server further may include an interactive display module configured to generate an interactive object based on the business analytics information, provide controlled access to the interactive object to a first user of a predefined group of users, and provide a display of the interactive object to a second user of the predefined group of users.

Abstract: Systems and methods to provide predictive alerting are disclosed. Trends and characteristics in the data may be identified in advance of actual occurrence, with an expected event being predicted or extrapolated based on data and a predictive model associated with stored and/or incoming data. This may be done by, for example, developing a set of rules associated with the model that may then be used to trigger predictive alerts based on predicted trends. Various data and associated characteristics may be determined based on past data and/or analogous data taken from similarly modeled systems. For example, seasonal trends may be factored into the model so that a prediction is based on both a received set of data and expected seasonal (or other temporal) trends. Various other characteristics may also be used in the predictive model.