Business Decision Analytics Case Study

University
MGT602 Business Decision Analytics
Case Study
Student Name:
Register Number:
Submission Date:

Executive Summary
The spot light of this research is Business Decision Analytics. The report ensures to
compare, contrast and critically evaluate the sources of data, to take right decisions in a range of
business contexts. The decision making systems and techniques are examined and evaluated, for
analyzing the sustainable outcomes. The emerging tools and technologies for decision making
are also critically examined. Subsequently, a case study is considered to review all these business
decision analytics’ aspects. The current situation in the case study includes a business which has
come to a conclusion of instantly decreasing its wage and the salary costs, in order to survive the
next period. To take this action, the executive management has taken a decision of setting up a
panel for advising on methods to instantly decrease its wage and salary costs. Decreasing the
number of staff is considered as the solution, to positively address the issues depending on the
business’s current P&L statement. Thus, the team is asked to use the available data set and
analyze it for providing a list of people for redundancy. Finally, appropriate justifications are
given for how to keep the recommended people to be made redundant.profits up, without firing
60 percentage of staff or by firing small percentage of staff.

Table of Contents
1. Introduction............................................................................................................................1
2. Main Discussion......................................................................................................................2
2.1 Problem Definition..............................................................................................................2
2.2 Situational Analysis............................................................................................................2
2.3 Sense Making......................................................................................................................3
2.4 Formulation of potential solutions....................................................................................4
2.5 Selection between solution...............................................................................................13
2.6 Decision making based on solutions................................................................................13
2.7 Implementation of decisions............................................................................................14
3. Recommendations................................................................................................................14
4. Conclusion.............................................................................................................................15
References.....................................................................................................................................17

1. Introduction
Business Analytics refers to a study of data based on the statistical analysis and
operations analysis, which helps to form the predictive models, helps the companies in
automating and optimizing their business processes and communicates the results with the
customers and the business partners. Additionally, the data-driven companies make use of
Business Analytics for achieving competitive advantage, with its insight for supporting the
evidence-based decision making and performance management.
Here is a case study which ensures to enlighten about the Business Decision Analytics,
where I am a member of the team with three line mangers for forming a panel with the task of
business cost containment in an organisation which contains 300 people. The importance and
urgency of the panel’s work relates to the business which has recently lost two key products from
its product line. The reason behind this is considered as the changes in the government policy,
which needs immediate step to stop the falling business profitability. Thus, this case requires
comparing, contrasting and critically evaluating the sources of data, for making the right
decisions in a range of business contexts. The decision making systems and techniques should be
examined and evaluated, to analyze the sustainable outcomes. The emerging tools and
technologies for decision making must also be examined. Because, the business has come to a
conclusion that it instantly requires to decrease its wage and salary costs, for surviving the next
period. Hence, the executive management has taken a decision of setting up a panel for advising
on methods to instantly decrease its wage and the salary costs, by decreasing the number of staff,
to positively address the issues with the business’s current P&L statement.
On the other hand, the business is well aware of the amount of staff required for the
business, to run the business, i.e., it believes that it needs 275 staff for operating its business well.
Strong recommendations are demanded by the team with appropriate justifications on the
recommended peoplegiven for how to be removed from the job.keep the profits up, without
firing 60 percentage of staff or by firing small percentage of staff.
Objective
The objective of this report includes, the sources of data will be compared, contrasted and
critically evaluated. The decision making systems and techniques will be examined and
evaluated. The emerging tools and technologies for decision making will be critically examined.
1

To recommend and justify how to keep the reason for selecting the people to be made redundant.
profits up, without firing 60 percentage of staff or by firing small percentage of staff.
2. Main Discussion
2.1 Problem Definition
The importance and urgency of the panel’s work relates to the business which has
recently lost two key products from its product line. The reason behind this is considered as the
changes in the government policy, which needs immediate step, to stop the falling business
profitability. The decided solution is decreasing the number of staff in the company. Here, the
problem is to look for the right staff to be terminated based on positive addressing, instead of
randomly removing the employees. It is a serious and complex task to carry out. Thus, the team
requires analyzing the provided data set to list the people recommended for redundancy. Totally,
out of 60 people, the team needs to select the people and provide appropriate recommendations
on the type and number of people to be made redundant (Dasgupta, 2015).
The main problem here is, how to keep the profits up, without firing 60 percentage of
staff or by firing small percentage of staff. Then what else can be the solution.
2.2 Situational Analysis
The current situation of the business is that it has come to a conclusion that, it instantly
requires to decrease its wage and the salary costs, for surviving the next period. The executive
management has taken a decision of setting up a panel for advising on methods to instantly
decrease its wage and salary costs, by decreasing the number of staff, to positively address the
issues with the business’s current P&L statement. The team is asked to use the available data set
and analyse it for providing a list of people for redundancy (Delen, 2015).
The case study provides the exposure of experiencing to work at both the individual level
as well as a team member, for identifying the data from different sources and contexts to process
the information and help in decision making. On the other hand, it also helps to form a group for
sharing the MBTI results, decision preferences and other types of psychometric tests that could
support the team in identifying and acting on the differences between each individual’s
information preferences, abilities, decision styles and willingness to work in the team.
Additionally, to work as a team member to recognize the differences in the preferences of
2

information processing, ways of working together and decision styles, by engaging the team in
data evaluation, information processing, utilizing the systems of decision-making and techniques
for instant and high quality group decisions.
2.3 Sense Making
To make the decisions for the provided case study problem by using the business analytics tool
like Weka. So, user needs to download and install the weka. After, open the provided dataset like
access data. Then, perform the business analysis (Getting started with business analytics:
insightful decision-making, 2013).
The provided data set is successfully opened and it is illustrated as below.
After, choose classify to analysis the provided the data. Here, we are choose the years of
experience to predicted the employee’s information to reduce the employee salary or removed
from the job.
3