Data Insights Presentation: Research Methods, Analysis, and Big Data

This presentation delves into the critical role of data insights in modern marketing research and business decision-making. It begins by defining data insights and their importance for effective business operations. The presentation then outlines the roles of both quantitative and qualitative research, emphasizing questionnaire design and discussion guide usage, respectively. It further explains the concepts of correlation and regression, providing examples of their applications, particularly in finance. The presentation also covers time series analysis, critiquing issues surrounding big data analysis and its use in business decision-making, and highlighting effective data collection methods for informed business decisions. The conclusion emphasizes the essential nature of both qualitative and quantitative research methods in modern marketing and data analysis, underscoring their significance in driving effective business strategies. The presentation's content is supported by references to relevant academic sources.

DATA INSIGHTS
CW2
POWERPOINT
PRESENTATION

Table of content
 Introduction
 Role of quantitative research
 Role of qualitative research
 Correlation and regression
 Time series
 Big data
 Ways of collecting the information
 Conclusion
 References

Introduction
 Data insight is being defined as the knowledge which of company gives by analyzing a set
of information relating to the given situation or the decision of the company.
 For effective and successful running of the business it is very essential that they
effectively use the data in order to take effective decisions for the business.
 The current presentation will outline the role of both quantitative research and qualitative
research within the modern marketing research and data analysis.

Role of quantitative research in modern marketing
research and data analysis with special emphasis on
questionnaire
 The quantitative market research is being defined as the
technique where in the questions are being asked to the target
audience within organized manner like question as a service.
 Here are the responses received are being recorded and then
analyzed in order to take effective decisions for improvement
of the product and services.
 Any of the company it is very essential that they effectively
undertake the use of quantitative market research.

Role of qualitative research within modern
marketing and data analysis with special emphasis
over discussion
 The qualitative research is been defined as the research which
is based on the perception beliefs and non numeric information
relating to the problem.
 In the analysis of any of the issue of problem the company can
undertake the qualitative research.
 Within the marketing the qualitative research is very helpful as
it assist company in testing some new idea of product in order
to gain the realistic view that how consumer will react to that
particular product.

Correlation and regression meaning and how it is
used with examples
 A correlation is a statistical measure which assist in analysing the relationship between the two
variables. This is a good measure used within the variables which demonstrate that whether linear
relationship is being present within the two variables or not.
 One of the major applications of the correlation is within the concept of finance in the portfolio
management.
 Within the portfolio management the relationship between the various investment options and assets
are being analysed and then the portfolio is being created.

REGRESSION
 regression is another statistical tool which is used in order to determine the strength and character of
the relationship between a dependent variable which is denoted by y and a series of another variable
that is independent variable which is denoted by X.
 Analysis is being undertaken with help of different methods like linear regression and multiple linear
regression and nonlinear regression.

Time series meaning and how it is used with
examples
 The time series data is been defined as the data collected at different points of time.
 The time series data is opposed to the cross-sectional data which includes observes
individual companies at a single point of time.
 As the data points within time series are collected the adjacent time periods and there is
potential correlation between all these observations.
 This time series analysis is a statistical method which is used in analysing the time series
data in order to extract some meaningful statistics and information relating to the data.