A brief description of the origin and the attributes of data handling and the classification there of.

1. Data
Human Generated
Example : Document, Reports, Videos,
Social Media data
Attribute : behavioral, Discretionary.
Often as a result of an action (event).
Experience
To Play with : Is easier to handle.
Already human decisions are
incorporated in the events. Relatively
lesser noise. Mostly Business
influences.
Dimensions : Very wide but mostly
demographics, Likings, relationship,
experience.
Processing Frequency : On demand.
Situational. Continuous
Example : Logs, Scanners, Events,
Alerts
Attribute : Configurable, Repetitive,
not discretionary.
To Play with : mostly data (not
information). Does not involve any
decisions and is more factual. High
level of noise. Mostly operational
Influence.
Dimensions : System, Security,
Network and Business Application
Backbone.
Processing Frequency : Mostly Daily.
Or weekly and definitely on periodic
basis.