Data Analytics for Organizational Decision Making - Kellogg Company Case Study Report

Case study report Data
Analytics for organizational
Decision making

TABLE OF CONTENTS
INTRODUCTION TO THE ORGANIZATION.......................................................................3
INTRODUCTION TO THE CONCEPT OF DATA ANALYSIS............................................3
DATA SOURCES......................................................................................................................4
ANALYSIS................................................................................................................................4
Problem being faced by the organisation...............................................................................4
Organisation implement the concept......................................................................................4
Problems faced by the organisation in implementing the new change..................................5
Analysing the change beneficial for the organisation............................................................5
CONCLUSIONS, FINDINGS AND RECOMMENDATIONS................................................5
REFERENCES...........................................................................................................................7

INTRODUCTION TO THE ORGANIZATION
In this report, Kellogg Company is taken as an organization which is an American
multinational organization having it headquarter in Battle Creek, Michigan, US. The reason
behind choosing this organization for the study is that the organization is into food
manufacturing which makes it having a strong market position all across the world. It is into
various product segments which makes it right choice of company to be studied upon which
involves making use of data analytics. Kellogg's is into manufacturing food products which
incorporates crackers, pastries and is also having its brand such as Corn Flakes, Frosted
Flakes, Pringles, Eggo, and Cheez-It. It is having its largest factory in Manchester, UK which
is also the location of its UK headquarters.
INTRODUCTION TO THE CONCEPT OF DATA ANALYSIS
Business intelligence: It refers to the procedural and the technical system which
gathers, stores and also analysis the data which is produced through the business activities. It
is much bigger term and it encompasses data mining, performance benchmarking along with
the descriptive analysis (Rodrigues, Santos and Bernardino, 2018). Through BI all the
company related data is gathered and is presented in an easy form or reports which helps in
determining the trends and patterns resulting into undertaking informed decisions.
Machine learning: It is referred to as the branch of AI and the computer science
which is mainly concentrated in making use of data and algorithms with the objective of
imitating the way which helps in making humans understand and thus gradually improvise
the accuracy. It is useful in making predictions along with taking decisions without any
explicit programming. It is mainly useful in the areas of telecommunications, marketing,
sentiment analysis and computing. Cybersecurity mainly utilizes machine learning for the
purpose of filtering and spam identification.
Artificial intelligence (AI): It accounts for the simulation of the human intelligence
processes through the use of machines and the computer systems. Some of the specific
application of AI is expert systems, speech recognition and the machine vision. It is strongly
supported in the various business areas such as manufacturing, military, economics etc.
Data mining: It refers to the process in which the anomalies, patterns and the
correlation within the data set is being identified which is set to predict the outcomes. It
involves making use of the broad range of techniques which helps in gathering relevant
information which assists the companies in increasing its revenue, minimising the costs,
along with enhancing the relationship with the customers and reducing risk (Ghasemaghaei,