Discover how businesses use qualitative and quantitative data to understand customer opinions and patterns. Blending both may unlock sharper insights.

Data Interpretation is an important part of the Quantitative Aptitude section in many competitive exams. It tests the ability ...

1. To Get To The Quantitative Data. Without the qualitative data, you can’t get to the quantitative data. All the ad creatives, messaging, campaign structures and so forth that take place behind ...

Attribute data are characteristics that aren’t readily quantified by hard numbers. It is a discrete data type. Making use of it requires more data on hand, as well as a robust method of measuring.

To begin deriving and applying quantitative and qualitative data, it’s important to have a baseline of key messaging, audiences and goals at hand to evaluate.