Data Analytics Business Intelligence Report 2022

Running head: DATA ANALYTICS AND BUSINESS INTELLIGENCE
Data analytics and business intelligence

DATA ANALYTICS AND BUSINESS INTELLIGENCE 2
Abstract
The main aim of this report is to analyze the proposed solution in the adoption of business
intelligence and develops the strategies in the context of women clothing of Target Australia.
The research question for this assignment is “what is the proposed solution in business adoption
of business intelligence”. This research question would be responded via literature review and
survey through a questionnaire. In this research, a mixed research design is used for completing
the investigation. Along with this, statistical data analysis will be used for performing the
research. Interpretivism and inductive approach are used due to the subjective nature of the
research issue. In addition, both primary and secondary data collection is implemented in this
investigation. The results demonstrated that there is a favourable relationship between business
intelligence and data mining of Target Australia-women clothing business unit.

DATA ANALYTICS AND BUSINESS INTELLIGENCE 3
Table of Contents
Abstract........................................................................................................................ 2
Introduction.................................................................................................................... 5
Aim and objectives....................................................................................................... 5
Literature review............................................................................................................. 6
The business need for Business intelligence in the context of Target Australia-women clothing.........6
Best BI technique to introduce the project in the context of Target Australia-women clothing...........6
Relationship between Data Mining (DM) and BI in the context of Target Australia-women clothing...7
Different DM techniques in the context of Target Australia-women clothing................................8
Best DM strategy for their project and link with the project’s BI adoption in the context of Target
Australia-women clothing............................................................................................... 9
Methodology................................................................................................................ 10
Research philosophy and approach..................................................................................10
Research design......................................................................................................... 10
Data collection method................................................................................................. 10
Research strategy........................................................................................................ 10
Sampling.................................................................................................................. 11
Experiment and/or methods followed.................................................................................. 11
Data analysis method................................................................................................... 11
Ethical consideration................................................................................................... 11
Survey through questionnaire............................................................................................ 11
Results........................................................................................................................ 14
Discussion................................................................................................................... 24
Conclusion and recommendation for further research..............................................................25
References................................................................................................................... 26
Table 1: Gender............................................................................................................. 15
Table 2: Age group......................................................................................................... 15
Table 3: Experience in Target Australia-women clothing..........................................................16
Table 4: Business intelligence encompasses analysis of data with the intention for uncovering the trend,
insights as well as, patterns............................................................................................... 17
Table 5: Sisense technique is competent for significantly simplify difficult data analysis, and creates
accessible big data insights within Target Australia-women clothing...........................................18
Table 6: Discovering new data source can lead to addressing the causes for the financial shortcoming of
Target Australia-women clothing....................................................................................... 19

DATA ANALYTICS AND BUSINESS INTELLIGENCE 4
Table 7: Tracking patterns is one of the basic tools of data mining that helps to address the patterns in sets
of data within Target Australia-women clothing.....................................................................21
Table 8: Classification is complex data mining tool that forces business for gathering the several attributes
together into the discernable categories of Target Australia-women clothing..................................22
Table 9: Target Australia-women clothing uses power BI report in audit information for categorizing the
users........................................................................................................................... 23
Chart 1: Gender............................................................................................................. 15
Chart 2: Age group......................................................................................................... 15
Chart 3: Experience in Target Australia-women clothing..........................................................16
Chart 4: Business intelligence encompasses analysis of data with the intention for uncovering the trend,
insights as well as, patterns............................................................................................... 18
Chart 5: Sisense technique is competent for significantly simplify difficult data analysis, and creates
accessible big data insights within Target Australia-women clothing...........................................19
Chart 6: Discovering new data source can lead to addressing the causes for a financial shortcoming of
Target Australia-women clothing....................................................................................... 20
Chart 7: Tracking patterns is one of basic tool of data mining that helps to address the patterns in sets of
data within Target Australia-women clothing........................................................................21
Chart 8: Classification is complex data mining tool that forces business for gathering the several attributes
together into the discernable categories of Target Australia-women clothing..................................22
Chart 9: Target Australia-women clothing uses power BI report in audit information for categorizing the
users........................................................................................................................... 23

DATA ANALYTICS AND BUSINESS INTELLIGENCE 5
Introduction
The research topic is “To analyze the proposed solution in the adoption of business intelligence
and develops the strategies in the context of women clothing of Target Australia”. The researcher
will investigate the small business unit of Target Australia i.e. women clothing in order to
develop an understanding of the adoption of business intelligence (Target Australia, 2019).
Target Australia has different needs for the adoption of BI such as customer relationship
management, and inventory management. The adoption of business intelligence would be
beneficial for improving operational efficiency and increase business productivity (Chaudhuri,
Dayal, and Narasayya, 2011).
Online shopping is an incredible boom in current times and Business intelligence plays a vital
role in its growth. BI facilitates personalization experience by recording all practices of a user.
BI technique like Power BI creates the trend of customers in terms of bar graphs, other
geographical structure, and pie chart. This graphical illustration creates it easier for eCommerce
admin to assess the information as well as act accordingly to gain sales (Yeoh, and Koronios,
2010).
Aim and objectives
The main aim of this report is to analyze the proposed solution in the adoption of business
intelligence (BI) and develops the strategies in the context of women clothing of Target
Australia. The given below objectives is used to complete the main aim of the project:
RO1: To identify the business need for business intelligence: In the context of Target Australia-
women clothing
RO2: To discover the best BI tool for introducing the project: In the context of Target Australia-
women clothing

DATA ANALYTICS AND BUSINESS INTELLIGENCE 6
RO3: To explore the relationship between Data Mining (DM) to BI: In the context of Target
Australia-women clothing
RO4: To recommend the DM strategy for their project and its link to BI adoption: In the context
of Target Australia-women clothing
Literature review
The business need for Business intelligence in the context of Target Australia-women
clothing
According to Duan and Da Xu (2012), business intelligence encompasses analysis of data with
the intention for uncovering the trend, insights as well as, patterns. In current times, the online
business of Target Australia-women clothing is highly on trend. There are different things that
move with high speed of light as well as, staying on trend indicates developing reports as close to
synchronized as possible.
In contrast to this, Kolkas El-Bakry and Saleh (2014) stated that business intelligence enables
Target Australia-women clothing for optimizing the prices of items at right time as per upcoming
trends as well as, what consumers have purchased earlier. Assessing and measuring information
is essential for Target Australia-women clothing in terms of enhancing market positioning. With
the added rivalry of Target Australia-women clothing such as The Iconic, Myer, Glassons and
Rebel retailers should apply prompt data-driven ways for making the best decision.
Best BI technique to introduce the project in the context of Target Australia-women
clothing
As per the view of AL-Shubiri (2012), Sisense is a significant leader in BI market as well as, it is
the winner of best BI software award for 2016 from Finances Online due to renowned business
software review channel. This technique is competent to significantly simplify difficult data