Data Insights: Role of Quantitative and Qualitative Research, Correlation, Regression, Time Series, and Data Collection Techniques

Data Insights

CONTENTS
 INTRODUCTION
 The role of quantitative research in modern marketing research and data
analysis
 The role of qualitative research in modern marketing research and data analysis
 What are Correlation and Regression- and are they used?
 What is “Time Series” and how is it used?
 Issues of Analysis Techniques of Correlation, Regression and Time Series
 How are Data Collected and Used?
 Conclusion-Summary
 References List

Introduction
The term data insight can be defined as the deep
study and analysis on a particular topic that is done
by an organisation. The process of data analysis
helps the organization to study about the pros and
cons in an organisation. Moreover, through data
analysis the firm can evaluate on a specific subject
or topic. This moreover helps the firm in taking
precautions that cause loss to the business.

The role of quantitative research in modern
marketing research and data analysis
The quantitative data analysis can be understood as the numerical data analysis in
the business. The quantitative data would only deal with the numbers on any
matter in the firm. It also focuses on factual data of the subject matter. Moreover,
there are various methods that are used by the quantitative research. These
methods includes the questionnaire, offline or online survey, etc.