MIS609 Data Management and Analytics

MIS609 Data Management and Analytics
MIS609 Data Management and Analytics
Assessment 2
Case Study Report: Data Analytics for Organisational Decision-Making
Individual Report
Student ID:
Student Name:
0

MIS609 Data Management and Analytics
Table of Contents
Introduction......................................................................................................................................2
Section 1: Introduction of Selected Business Enterprise.................................................................2
Section 2: Introduction to Data Analysis Concepts.........................................................................3
2.1 Big Data.................................................................................................................................3
2.2 Cloud Computing...................................................................................................................3
2.3 Graphical Framework............................................................................................................4
2.4 Predictive Analysis Approach...............................................................................................4
Section 3: Data Sources for Collecting Assignment information....................................................4
Section 4: Analysis..........................................................................................................................5
4.1 Problems faced via Amazon..................................................................................................5
4.2 Implementation of data analysis concepts by Amazon..........................................................6
4.3 Issues faced by Amazon while implementing data analytics................................................6
4.4 Benefits of implementation of new change in Amazon.........................................................7
Section 5: Conclusion, Findings, and Recommendations...............................................................8
References........................................................................................................................................9
1

MIS609 Data Management and Analytics
Introduction
Data management & analytics refers to the managerial procedure that includes collection,
storage, validation, & processing of the organizational data in order for ensuring regarding the
accessibility, timeliness, and reliability of users’ data. For every business enterprise, using
effective data management technology is very important because data is produced and consumed
in a very unprecedented manner. This document is demonstrating the understanding and
knowledge of a broad scenario of data management & analytics to resolve the company’s real
issues. Data analytics concepts are also illustrated that are used by companies. Data resources are
also listed in the report to analyse data analytics-related problems. Some suggestions are also
given to eliminate issues that are faced by enterprises.
Section 1: Introduction of Selected Business Enterprise
Amazon is a US-based online retailing enterprise and its headquarters are situated in Seattle,
Washington, U.S. The enterprise was founded in 1994 by Jeff Bezos as an online bookseller.
Then, it had expanded its business and now it is selling everything from trustable brands such as
grocery products, electronic products, digital services, and so on (Neate, 2021, Para 1). Now, it is
operating its e-commerce services worldwide (US, Australia, India, and so on) under different
brands. 1,335,000 people are employed via Amazon.
Amazon is selected for case scenario-based data analysis and management because it is using
real-time and up-to-date data analytics for making effective decisions. Huge information related
to Amazon is available that is used for data analytics activities to handle organisational issues
effectively. It uses a data analytics approach to track and fulfill its customer’s needs and amplify
its financial performance (Amazon, 2020, Para. 1-2). Amazon’s typical business is to deal in
grocery products, consumer electronic products, beauty products, merchandise products, gourmet
food products, personal-care & health items, kitchen items, baby products, and so on. It is
considered as biggest e-commerce retailing enterprise in Australia.
2

MIS609 Data Management and Analytics
Section 2: Introduction to Data Analysis Concepts
Data gathering, storing, analyzing, and management is very important operations of data
analytics that are needed to extract essential information of Amazon. Data effective classification
enables the procedure of data prediction and detection that has a huge influence on the decision-
making process of the enterprise. To become successful in the online retailing market, it is
needed that Amazon must understand their customer’s purchasing behaviour to optimize the
company’s performance and create suitable competitive benefits for a company. Amazon uses
data analysis concepts to amplify understanding of operational requirements and present & future
strategic needs by considering the preferences and interests of stakeholders.
2.1 Big Data
Amazon enterprise gathers big-data from their online consumers and applies the data-predictive
analytics to know purchasing behaviour of their customers & modernize the delivery process of
required services or products to their consumers. The collaborative (filtering-oriented)
suggestion technique is also used by Amazon to offer products and services that are looked at by
consumers. To deliver effective services and products to consumers & boost the enterprise’s
sales, Amazon has launched 360 degree views of consumers to market the company’s products
on the basis of big data. CFE (collaborative filtering-oriented engine) is helping Amazon to
analyse details of consumers such as what type of items they are searching for, what type of
products they have viewed, what type of products they have purchased, and so on. Then, this
analytics data is used to recommend the products and services to online consumers on the basis
of their purchasing behaviour.
2.2 Cloud Computing
Cloud-computing services (AWS (Amazon Web Service)) were presented by Amazon in 2006 to
secure the enterprise’s big data application & amplify their scalabilities. Amazon uses cloud
computing-based techniques in the different big data applications such as suggestion engine,
fraud detection, IoT (Internet of things) processing, data warehousing, clickstream analytics, and
so on (Marr, 2020, Para. 2).
3