Big Data Technology for Understanding Consumers in Retail Sector: A Study on Sainsbury's

This research aims to evaluate the impact of big data on consumers of Sainsbury's and recommend ways through which big data can be implemented within the organization. The research process, objectives, research questions, rationale, types of data, collecting data and evaluating sources, analyzing and interpretation, information security systems, use of data in monitoring and measuring performance, feedback from lecturer, research proposal, and references are discussed.

COM3005 INTRODUCING
RESEARCH SKILLS

TABLE OF CONTENTS
RESEARCH INTRODUCTION
TASK 1
Research process
Aim
Objectives
Research questions
Rationale
Types of data
TASK - 2
Collecting data and evaluate sources
Importance of data in marketing decision – making
Academic sources- Relevance and Credibility-
TASK 3
Analysing and Interpretation-
TASK 4
Information security systems
Use of data in monitoring and measuring performance-
Feedback from lecturer
Research proposal
REFERENCES

RESEARCH INTRODUCTION
Research process
 The research topic of the particular research is big data technology for a
better understanding of the consumers within the retail sector: A study on Sainsbury's.
 A research process is basically a procedure which includes identification of the
problem, reviewing the literature, clarification of the issue, clarification of the terms
and the concepts that are being used, development of the plan, collection of data,
analysis of data, etc.

Aim
 To analyse the role of big data and its impact on the understanding of the consumers in Sainsbury
retail store.
Objectives
 To evaluate the concept of big data.
 To examine its impact of big data on society.
 To analyse the impact of big data on consumers of Sainsbury.
 To recommend ways through which big data can be implemented within organization.

Research questions
 What is the meaning of big data?
 How does big data impact the society?
 How does big data impact the consumers of Sainsbury?

Rationale
 Big data is very essential for the working of every organization in the present
times. This topic is chosen for the sole purpose of understanding the impact that
implementation of big data has over the consumers of Sainsbury and the society
overall.

Types of data
 A brief about information, knowledge and data differ
 Data are raw in nature, it can be figures or facts or even information that is usually
stored as well as used by researcher.
 Big data
 It is popular term recently, it has come to define large amount of data that can
not be processed or stored by conventional data storage or even processing equipment.

Collecting data and evaluate sources
 Primary data are first-hand data collected by researcher himself. Whereas secondary
data are collected by someone else earlier.
Types of method used in research
 For this research, we use primary research that is methodology used by the researchers
to gather data directly, instead of depending on data directly.

Collect data
Importance of data in marketing decision – making
 There are various data like the browsing patterns of the consumers, the social media
activities, their online behaviour helps in building and enhancing the marketing efforts
at the workplace.
Academic sources- Relevance and Credibility-
 Akhtar, P., and et.al., 2019. Big data‐savvy teams’ skills, big data‐driven actions and
business performance. British Journal of Management, 30(2), pp.252-271.

Analysing and Interpretation-
 The most reliable and most of the data has been collected from the second resource.

Information security systems
 Compromising of data can be done through various ways. It basically refers to
misusing or loosing of the essential and important data that is given by the customers to
the company.
Use of data in monitoring and measuring performance-
 Collecting data for the different services allows companies in measuring performance
of the organization.

Data transformation error rates-
 The process that takes in the one format and converts into the another formate are often the sign
that the data quality has certain problems. These problems lead in the failure of the operations and
this helps in gaining the insight into the overall quality of the data.
Amount dark data-
 It is data that can not use effectively because of data quality issue. So darker data can give more
problems in quality data.
Data time to value-
 Calculate how long it takes team to derive result from given data set. While numbers of factors
affects data time to value.

Feedback from lecturer
 According to the whole research that is done above I have come to a
conclusion that information that is provided in the overall research regarding the
meaning and the concept of big data and the impact that big data implementation has
over the society as a whole and mainly on the consumer behaviour of Sainsbury.

Research proposal
 The research topic is the role of big data technology for a better understanding of the
consumers within the retail sector: A study on Sainsbury's.

Summary
 The issue that this particular research is revolving around is the implementation of big
data within the society and particularly in Sainsbury and the impact that it has over the
consumers of the company.
Background
 The problem that is evaluated in this research in particular is regarding the problem
regarding the implementation and application of the big data within the organization of
Sainsbury, and what will be the reaction of the customers towards the implementation
or the application of this big data within the company.

Aim
 To evaluate the concept and the impact of big data implementation on the consumers of
the company: A case study on Sainsbury.

Proposed methodology
Research type
 Research type basically refers to the ways through which the data is being collected by
the researcher.
Data collection
 Data collection refers to the process or the procedure of collecting data, measuring that
data, analysing or evaluating the collected and drawing a conclusion according to that
and use standardized techniques of research.
Data analysis
 Data analysis refers to a process of the systematic application of the statistical as well
as logical techniques or strategies for the purpose of describing and evaluation and then
illustration of the data that is collected.

REFERENCES
 Patel, M. and Patel, N., 2019. Exploring Research Methodology. International Journal
of Research and Review. 6(3). pp.48-55.
 Mishra, S.B. and Alok, S., 2017. Handbook of research methodology. Dimensions Of
Critical Care Nursing. 9(1). p.60.
 Rinjit, K., 2020. Research methodology.
 Thrusfield, M. and Brown, H., 2017. Surveys. In Veterinary Epidemiology: Fourth
Edition (pp. 270-295). Wiley-Blackwell.
 Arifin, S.R.M., 2018. Ethical considerations in qualitative study. International Journal
of Care Scholars. 1(2). pp.30-33.