Why is quantitative analysis important

This approach is useful because it can provide you with objective information to understand what has occurred or what will occur.

You might think this would be qualitative data because it asks about a subjective topic but the data it generates consists of numbers, which are analysed quantitatively.

Quantitative analysis is all about hard objective data i. In the customer feedback process you want to have both Qualitative and Quantitative Analysis because they complement each other.

For instance in your survey you will want to have a range of questions for quantitative analysis to tell you what you are doing well and what you are doing poorly:. You should also have some questions for qualitative analysis to allow you to understand how to improve:. Examples of qualitative analysis include tagging text responses in a customer feedback survey , writing movie reviews, and assessing the management potential in a company.

Calculating the mean, median and mode of response data when analysing a customer feedback survey is an example of quantitative analysis. How do you determine what is important to a customer? Customer Feedback is Worthless without the Right Analysis. People are not thermometers so customer feedback is messy. Halo effects and Brands: being cautious when reviewing customer feedback.

Genroe uses this information to send you the CX Tribe e-Newsletter. You may unsubscribe at any time. Once we understand the numbers and math, we switch back to qualitative to ask why. Why did we receive the results we did in the quantitative research? Why did people make the choices they made? We would survey or interview a representative, random sample of our quantitatively-analyzed audience to understand why.

What did the people who answered this have in common — were they in similar professions? Perhaps they shared a common gender, geography, or ethnicity. Understanding the difference between qualitative and quantitative research helps PR practitioners to explain where they are in the research and analysis process. Understanding why we cannot mingle qualitative and quantitative data all at once, or refer to one form of data in the language and context of another helps us to do our best work and preserve our credibility.

Understanding what to use and when helps us to do our very best work and go beyond simple public relations work to real, credible research that benefits our stakeholders and ourselves. Capabilities Global Reach. Campaigns Clients. Agency Leadership News. Both qualitative and quantitative analysis are vitally important to public relations. Examples of qualitative analysis Qualitative analysis focuses on why.

Qualitative analysis and research methods often include: Focus groups Open-ended questionnaires and surveys Unstructured interviews Unstructured observations like reading social media posts Case studies Qualitative analysis tends to look very deeply at a few things to understand the why.

Examples of quantitative analysis Quantitative analysis focuses on what. Quantitative analysis and research methods often include: Closed-ended questionnaires and surveys Large-scale data sets Analytics gathered by machines Random sampling Structured data Tracking software such as CRMs, marketing automation, advertising Quantitative analysis tends to look very broadly at many things to understand the what.

Definition of quantitative analysis. Predicting outcomes in a given situation and identifying trends or patterns that influence decision-making. Quantitative analysis can be applied to achieve different outcomes, including evaluating performance, measuring success or making a value assessment of financial instruments.

It can even be used to predict large-scale economic events, like fluctuations in the gross domestic product GDP. Providing a reliable tool set for closely examining behavior and events. The tools and resources available with quantitative analytics can assist with a range of data from simple values to more complex enumerations. Anything that can be quantified can be analyzed using quantitative analysis. For this reason, quantitative analytics are almost universally beneficial. How is quantitative analysis different from qualitative analysis?

Conceptual differences. Quantitative data analysis is concerned with facts. Quantitative data analysis assumes reality is measurable. Qualitative data analysis seeks to understand the reason for a behavior. Qualitative data analysis assumes reality is always changing and includes several variables that are hard to measure numerically. Functional differences. Quantitative research collects data through measurements.

Quantitative analysis predicts outcomes using values and statistics. Quantitative analysis reports data in statistical values. Qualitative research collects data by observation and interview techniques. Qualitative analysis predicts outcomes using information collected in interviews and surveys. Qualitative analysis reports data by conveying information using language and description. Example: Analyzing the financial health of a company. Applications of quantitative analysis in business. The anticipated return on investment Demographics within the target market How much the campaign will cost to implement Campaign length Measurement, tracking and analytics results.