Timeliness

is it there soon enough to be meaningful

Sufficiency

completeness

is there adequate information for the purpose intended

Issues: sample size; time horizon

Level of Detail or Aggregation

are the data broken down into meaningful units

Redundancy

this can be a problem if there is too much redundancy or too little redundancy

Understandability

practicality

simplicity

minimization of perceptual errors

difficulty with encoding

Freedom from Bias

Reliability

are you sure the information is correct

verifiability

Decision-Relevance

predictive power

significance

Cost-efficiency

need to consider the change in the decision behavior after obtaining the information minus the cost of obtaining it

Cost-effectiveness

Comparability

consistency of format

consistency of aggregation

consistency of fields

Quantifiability

Appropriateness of format

medium of display

ordering of the infroamtion

graphical vs. tabular display

Quantity: more is not better!