Business Analysis Report: Data Mining for AIH Financing Program

This business analysis report focuses on the creation of a business plan for the AIH institution, which aims to provide financial assistance to its students using a data mining process. The report identifies the business objectives, including enhancing competitive advantage and increasing student enrollment, and outlines the associated problem areas, such as marketing and financing. It assesses solutions, including the inventory of resources, sources of knowledge, and data, and highlights the assumptions, requirements, and constraints. The report also determines the data mining objectives to achieve these goals, such as attracting both national and international students and predicting customer retention. The analysis includes the use of data mining tools to solve business issues in financing by finding correlations and patterns in business information. The report concludes by defining the business success criteria, such as improving productivity and customer satisfaction, and provides a detailed analysis of the data mining objectives and their implementation.

Business Analysis Report

Table of Contents
Business Analysis Report.............................................................................................................................1
Introduction.................................................................................................................................................3
Business understanding...............................................................................................................................3
1.1. Business objective............................................................................................................................3
Problem areas......................................................................................................................................3
Business objectives..............................................................................................................................4
Business success criteria......................................................................................................................4
1.2 Assess solutions.................................................................................................................................5
Inventory of resources.........................................................................................................................5
Sources of knowledge and data...........................................................................................................5
Assumptions, requirements and constraints.......................................................................................6
1.3 Determine the data mining objectives...........................................................................................8
Business objective into data mining objective.........................................................................................8
References.................................................................................................................................................10

Introduction
The present report is mainly focused on the creation of the business plan using business analytics
with data mining process. As in the given scenario, it is seen that the AIH is considering
providing assist for its students with not using the government funds. The main objective of the
AIH is to develop its own financing program in order to provide the fund to the students.
Therefore, the present report is mainly emphasized upon the finding organization objectives and
success criteria. Moreover the report also focused on the how business uses the data mining tools
to accomplish its set of objective.
Business understanding
1.1. Business objective
The main objective of the business is to accomplish better competitive advantage and increase
the student enrolments. This would help the organization to achieve higher amount of revenues
from the market. Moreover, the association also focused on encourages students and other
potential groups to study in university without worrying about the money related with the
studying; this is also considered one of the vital objectives of the business.
Problem areas
According to the Micek & Pacholczyk, (2017), Marketing and business development is
considered the main problem areas of the organization. Since the organization primary purpose is
to offers money to students in their studying time, therefore the business development plans
helps the organization to determine that is it is profitable project or not for the organization. As
said by the Siuly, et al., (2017), the organization also required to gather huge amount of data and
findings an effective decision regarding the success of the project and this is not an easy task for
the organization. Sources of financing also considered the main problems for the organization.
Therefore to solve this issue AIH needs to incorporate data mining tools and techniques that
assist them to find out the optimum simulations among the several alterative.

The main motivation factors of this project are that they accomplish better brand name and
success in competition market. Apart from that, if project is success then they attracts both
national and international students that will helps them to increase profits from the enrolments
and enhances in the market image in positive manner. From the evaluation of the business
scenario it is seen that organization is not uses the data mining tools.
The main target group of this project is students (both national and international) and other
potential groups (rural residents, low income earners).
Business objectives
The main objective of the customers is to achieve financial amount (studying for a degree) from
the organization in very low of internet. Apart from that, the primary objective of the
organization to retain the customers by predicting when business is prone to move to
competitors. Moreover the secondary objective of the organization is to find attract the customers
from both national and international market that would help them to generate better revenues.
Moreover the other purpose of the organization might to find out whether low fees influence
only one particular segment of consumers.
Therefore, as a data analysts I recommended that the organization needs to implement the data
mining process that helps them to solving business issues in financing by finding causalities,
correlations and patters in business information as well as market prices, that is not effectively
apparent to the management because data volume to too large. Use of this tools in business, not
only helps the organization to retain more customers but also helps to find out the credit risks,
market risks, control and portfolio management in better manner.
Business success criteria
The business success criteria are to improve the productivity and improved customer’s
satisfaction. The key success of the business is to retain more customers and provide better
quality of services that customers are achieved. Therefore from the analysis and findings it is
said that the main business success criteria are following;
 Increase performance( enrolment rate) by 18% from FY2017 to FY2018
 Capture the market share of 12% within 24 months

 Reach the sales volumes of $10000000 within 24 months
1.2 Assess solutions
Inventory of resources
Human resource of present business development plan is following;
 Expert data analyst and business analysts
 Data mining engineers
 Technical support engineers
In order to make better decision making procedures and success the business the organization
needs to implements knowledge management system that involves data such as live warehouse
and functional data, fixed extracts data and past data. Apart from that the organization needs to
computer resources which includes the software system i.e. data mining software and computing
resources such as hardware platforms.
Sources of knowledge and data
In present technology era sources of data play the vital roles as it helps the organization to make
better decision making process in critical situations. Therefore in order to accomplish set of
objective in successful manner organization/data analysts needs to uses different type of sources,
which includes the written documents, excerpts data and online sources. Study conducted by the
Cupek, (2017), data analysts main objective is to determine out the relationships and patterns in
the data and applied the statistical techniques to find out whether there is any relationship exit
better variable of not. Therefore, to accomplish the relationship between the low fees structure
and organization performance, data analysts mainly implements different tools and techniques
such as Google fusion tables, Rapidminer, Knime, Solver etc. Most of the data analysts use the R
software that helps them to find out the relationship between the variables in better manner. As,
the primary objective of the organization is to accomplish better profits and retain more
customers; this can be accomplished in better manner using these tools. As said by the Braun et
al., (2017), Use of the data analyst’s techniques organization analyzes spending and withdrawal
patterns to prevent identify theft and fraud. In addition to this, it also aids to find out the risks
associated with the project in better manner.

Assumptions, requirements and constraints
Project completion
Starting date of the project: 12-Novemnber-2017
Ending date of the project: 12-Novemeber-2018
Quality and comprehensibility of result
In order to achieve better quality of outcomes data analysts mainly implements data i.e. both real
time and past time data that helps them to find out the effective outcomes. Moreover, to gain
achieve comprehensibility, data analysts store the all results in organization database from where
the manager continuously monitor the development performance.
Security and legal issues
Security is considered the main issues in this development plan, because all the decision was
made using findings of the available data and information. Therefore to solve this problem
organization needs to implements password protection techniques, dual firewall techniques in
database system (Chen et al., 2017). On the other hand organization needs to restrict users to
access their data warehouse. The analysts mainly stored customer’s information in data base and
findings optimum situations; therefore in such situation legal issues have been raised because
without customers information organization has not any authority to use and analyze them. Thus
to solve this problem is better manner the organization incorporates all ethical rules and
regulations. Moreover, the organization respects individual’s privacy in better manner.
List of assumptions
 The team members of the development plan possess the desired competence for their job
 Demand of the students regarding the interests finance is continuously increases
 No economic disaster and major shift of the technology
Validity of the results
Constraint lists
Constraints lists of the development plan are following;

 Accomplishing sufficient supplies and accommodations
 Timing and scheduling issues:- If the project i.e. development plan in not completed
within the time limit then the organization not achieve its success criteria
 Costs associated with the data mining tools and techniques is high; therefore it is also
considered the main constraint of the development plan
 Technical performance also considered one of the vital constrains because business
success criteria is mainly based on the findings of the data.
 Lack of resources as well as skills on the part of the team members
Lists of the risks
Risks lists components
project scope risks not well defied project scope, high complexity,
no project charter
Design and specification risks unrealistic specification, poor planning and
designing
Time risks not complete proper work break down
structure, not effective database, high costs and
resources
Costs risk
Contingency plan
IT is an alternative plan that is mainly used of a possible foreseen risks event come in project.
Therefore contingency plan is mainly represents preventive action that mitigate and decreases the
negative impact of the risks.
Issues associated with the project Action to be taken to solve
Funding dependent upon the outcomes of data
mining
In order to solve these problems in more
effective manner data analysts needs to recheck
all the available outcomes in better manner.
Moreover, Analysts needs to implement proper
data analysis tools and techniques that reduce

the error of data mining findings.
Data sources The decision of the development plan is mainly
based on the data sources, therefore to
accomplish better outcomes data analysts’
needs to use data from appropriate website and
government website (Studeny et al., 2017)
Apart from that before selection of the data,
analysts must have to ensure that data is
reliable and viable.
Competioror comes with better solutions If the competitor comes with the better
solutions then the organization needs to modify
their objective and development plan.
funding problems Funding also considered that main problems;
therefore to solve this problems organization
needs to move different sources of finance
such as bank loan.
1.3 Determine the data mining objectives
The main objective of the data mining is to find out the structure data from unstructured data that
helps the organization in decision making procedures. Another objective of the data mining is to
find out the patterns in apparently random information and utilize all this data to better gain and
understand patterns, trends and correlations and finally find out the customers interest towards
the development plan.
Moreover data mining also helps the organization to find out how many profits the organization
achieve from development plan and how many widget a consumers purchase given their
purchasers over the previous years.
Business objective into data mining objective
The main objective of the organization is to attract customers from the international and
national; therefore use of data mining process organization implements marketing campaign that

helps them to determine the customers segment in better manner. Moreover analyzing of the
available data and information data analysts effectively find out the size of the segment (Hou,
Guo & Nevin, 2017). The main issues of the data mining process are mining methodology and
user interaction, performance issues and diverse data type’s issues. Mining distinguish type of
knowledge from the database is not easy. Moreover pattern evaluation also considered one of the
main issues of data mining.

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