Data and Business Intelligence Glossary Terms

Quantitative Research

Quantitative research is a method businesses use to gather data in numerical form. It’s like conducting a survey where you count specific things, such as how many people prefer video games over board games. In the context of business intelligence and data analytics, this approach helps companies make decisions based on hard facts and statistics. For example, a business might use quantitative research to find out how many units of a product were sold in a month or to calculate the average time customers spend on their website.

This type of research often involves large groups of people to get data that’s statistically significant, which means you can reliably use it to understand trends or predict future behavior. Tools for quantitative research include surveys with multiple-choice questions, analyzing sales figures, or experiments where variables can be controlled and measured. It’s all about numbers and patterns.

Quantitative research is valuable because it provides clear, objective data that can be compared over time or across different groups. It helps businesses answer questions like “how many?” or “how much?” which is essential for making solid, data-driven decisions. By leaning on numbers and charts instead of just opinions, companies can craft strategies and solutions that are grounded in reality.


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