Limitations of Using Quantitative Business Analysis:
Quantitative methods presume to have an objective approach to studying research problems, where data is controlled and measured, to address the accumulation of facts, and to determine the causes of behavior. As a consequence, the results of quantitative research may be statistically significant but are often humanly insignificant.
Some specific limitations associated with using quantitative methods to study research problems in the social sciences include: • Quantitative data is more efficient and able to test hypotheses, but may miss contextual detail; • Uses a static and rigid approach and so employs an inflexible process of discovery; • The development of standard questions by researchers can lead to "structural bias" and false representation, where the data actually reflects the view of the researcher instead of the participating subject; • Results provide less detail on behavior, attitudes, and motivation; • Researcher may collect a much narrower and sometimes superficial dataset; • Results are limited as they provide numerical descriptions rather than detailed narrative and generally provide less elaborate accounts of human perception; • The research is often carried out in an unnatural, artificial environment so that a level of control can be applied to the exercise. This level of control might not normally be in place in the real world thus yielding "laboratory results" as opposed to "real world results"; and, • Preset answers will not necessarily reflect how people really feel about a subject and in some cases might just be the closest match to preconceived hypothesis. • High costs are involved in QBA method. • Huge time involved in QBA method. • QBA are just the tool of analysis & not the complete design of working process.

Phases of QBA: