Project Report: Business Analysis, Process, and Data Analysis

This project report delves into various aspects of business analysis and process improvement. It begins by explaining the application of the Chi-square test in business scenarios, such as analyzing sales data based on geographical locations and product types. The report then discusses process tolerance, emphasizing its role in manufacturing and the use of Cp and Cc values. It also addresses the impact of unclear communication on productivity, highlighting factors like employee morale and decreased innovation. Furthermore, the report explores qualitative and quantitative research methods, providing examples of their application. The use of histograms for data representation and analysis is also explained. The report includes a discussion of business benchmarking, outlining its purpose and sources of data. Finally, the report concludes with an overview of the process of designing a new process for a company, including key considerations for successful implementation. The report incorporates references from various project management and business analysis sources.

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Project Report

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Contents
Chi square test uses...........................................................................................................3
Process Tolerance.............................................................................................................3
Unclear communication on productivity..........................................................................3
Information in qualitative report.......................................................................................4
Quantitative research and examples.................................................................................4
Histogram uses..................................................................................................................5
Benchmark of business.....................................................................................................6
Sources of benchmarking data..........................................................................................6
Designing a new process..................................................................................................7
References.........................................................................................................................8

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Que 2)
Chi square test uses:
Chi square test could be used in the following business scenario:
a. Suppose that a business wants to analyze that if few types of services or products
would have better sell in the specific geographical location. Chi square test helps the
business to analyze the location wise sales and the profit such as if the gasoline would
be sold in neighbourhood is symptomatic according to the region’s median income.
So in this case, the variable of the company would be X which is type of gasoline and
Y is the income ranges. (Example: <0K, 40k-50k etc.) (Turner, 2008)
b. Chi square test is used to analyze the alteration of the product mix of a company. It
takes the concern of volume items, mid range and % of upscale and it directly make
an impact over the total profit of the company. So in the X category, product type
would be there and in Y category periods would be taken into consideration.
Que 3)
Process Tolerance:
Process tolerances are a part of tolerances which specifies the needs and the
requirements of a procedure that is used to manufacture the large or Hugh quantity of a
product. The process tolerances look over the maximum average, minimum average and a
standard deviation at a maximum level. Basically, the process tolerance could be defined by
the according to the Cp and Cc which are specifying values (Kerzner, 2013).
Process tolerance represent about a unified approach to analyze and specify the
tolerances level of two approaches which is commonly used i.e. statistical tolerance and
worst case tolerance. It allows both the approached to collective together and it also allows
them to behave in a proper manner so that a best result could be got.
Que 6)
Unclear communication on productivity:
To establish and analyze the strong business relationship, it is required for every
business to set an effective communication relationship. The unclear communication of a
business could affect negatively over the activities and business of the companies. Through

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this report, it has been found that if the communication of the business gets interrupted than
the receiver would not be able to understand the clear meaning of the task and thus the
productivity of the company would be affected (Burke, 2013). There are few points which
occurred due to unclear communication and directly affect the productivity of a company,
which are as follows:
a. Employee Morale
b. Lower efficiency
c. Decreased innovation
Que 7)
Information in qualitative report:
Qualitative report is a preliminary research type. This research type is used to analyze
the understanding of various underlying research, motivations and opinion. It offers the
insights of the problems of the research and assists to develop the hypothesis or ideas for
various potential quantitative researches (Larson & Gray, 2013).
Through the qualitative research, it becomes easy for the researchers to identify the
quality information regarding the issues such as how the issues could be resolved and what
are the benefits of the research topic. This research style gather the information related to the
topic not about the figures.
Basically, various sources are available for a researcher to identify the motivation and
the opinion related to the research topic. Every source is conducted in the different way and
offer different outcome (Meredith & Mantel, 2011). Some of them bases over the primary
data and other depends over the secondary data of the company.
Que 8)
Quantitative research and examples:
Quantitative report is a preliminary research type. This research type is used to
analyze the understanding of various underlying research, figures and data. It offers the
insights of the problems of the research and assists to develop the hypothesis or ideas for
various potential qualitative researches.

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Through various sources, quantitative research could be done by a researcher.
Basically, surveys, questionnaire and various data and information are used by the researcher
to gather the data (Schwalbe, 2015). Such as if a researcher wants to analyze the total
population of the country than he or she could conduct a survey door to door or they could
take the help of government data to identify the total population of the country. This is an
example of the quantitative research.
Basically, various sources are available for a researcher to identify the figures and the
data relayed to the research topic. Every source is conducted in the different way and offer
different outcome. Some of them bases over the primary data and other depends over the
secondary data of the company (Pinto, 2007).
Such as if a researcher wants to analyze the total age of the employees of a company
than the researcher take the help of the top level management and ask all the employees to fill
a questionnaire in which the date of birth, birth place, timing etc are mentioned. Through this
questionnaire, it becomes easy for the researcher to identify the true and fair data of the
employees.
Que 9)
Histogram uses:
The area of the histogram is according to the proportion of variable frequency and the
width of the company is according to class interval of the information or the people who has
been used for this research. Basically, it is a display of the various statistical information of a
research or a problem. This is used by the rescuer by using the various figures and the
information about occurrence (Stevenson & Hojati, 2007). The most common histogram
depict that the independent values and variables are plotted against the horizontal axis of the
histogram and the dependent values and variables are plotted against the vertical axis of
histogram.
When the data are the numerical than the historical form is used to set the data in a
historical way. This histogram could be used by the researcher to analyze the customer’s
engagement with the help of the figures and the data. Through the histogram the products
could be putted into the horizontal axis and the buying behaviour of the histogram could be
plotted over the vertical axis to reach over a conclusion (Turner, 2007).
Que 10)

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Benchmark of business:
Benchmarking is a process to compare the process and performance of a business to
analyze the best practices of a company. In project management, benchmarking is used to
support the process planning such as planning, selection and delivery of some projects.
Dimension basically measures the cost, time and quality of a business.
In order to evaluate and analyze the best practice of benchmarking, administration
evaluates the best companies in the industry, or in the similar industry’s where the same work
is done, it compares the result of all the related firms and then set a benchmark for the
company to make it more competitive and profitable in the industry (Baker, Murphy &
Fisher, 2008). Basically a business and organization benchmark its business according to the
process, time, manufacturing products, price and the total output of the company. These
above factors are the most sensible to analyze and set a benchmark for a company.
Que 11)
Sources of benchmarking data:
According to an article, there are 24 sources through which a company could set the
benchmark for its activities and business to make the company more competitive and
profitable in the industry. Out of 24 sources, most of the sources are used by the company to
gather the substantial information and set the benchmark. Basically, following are some of
the sources through which a company could set the benchmark for its activities, operations
and the business:
 Maintenance and support
 New business development
 Six sigma
 Build the estimation models
 Total time required
 Total cost required
 Total output of the company’
 Total sales of the company

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 Difference in the demand and supply of the products (Highsmith, 2009)
 Various cost drivers
 Management
 Operations and activities of the company
Though above are some of the sources on the basis of that, it becomes easy for a
company to set best benchmark for the benefits of the comapny and for enhancing the
level of the profits of the company.
Que 12)
Designing a new process:
Designing a new process for the company is bit hectic for the management and all the
stakeholders of the company as it take them various times to understand the new process and
implement them in a better manner to get a better result. Through this study, it has been
found that for designing a new process, various factors are there which make an impact over
the performance and the implementation of the new project. Following are the factors which
are involved in design a new process for the company:
a. Why the new process is required
b. Understand the essence of the implementation of the process
c. Analyze the domain area and identify the common sense of the company
d. Process designing : analyze and answer the questions
e. Analyze the implementation and approve that
f. Implement it in a proper manner (Fleming & Koppelman, 2016).

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References:
Baker, B. N., Murphy, D. C., & Fisher, D. (2008). Factors affecting project success. Project
Management Handbook, Second Edition, 902-919.
Burke, R. (2013). Project management: planning and control techniques. New Jersey, USA.
Fleming, Q. W., & Koppelman, J. M. (2016, December). Earned value project management.
Project Management Institute.
Highsmith, J. (2009). Agile project management: creating innovative products. Pearson
Education.
Kerzner, H. (2013). Project management: a systems approach to planning, scheduling, and
controlling. John Wiley & Sons.
Larson, E. W., & Gray, C. (2013). Project Management: The Managerial Process with MS
Project. McGraw-Hill.
Meredith, J. R., & Mantel Jr, S. J. (2011). Project management: a managerial approach.
John Wiley & Sons.
Pinto, J. K. (2007). Project management: achieving competitive advantage. Upper Saddle
River, NJ, USA: Pearson/Prentice Hall.
Schwalbe, K. (2015). Information technology project management. Cengage Learning.
Stevenson, W. J., & Hojati, M. (2007). Operations management(Vol. 8). Boston: McGraw-
Hill/Irwin.
Turner, J. R. (2008). Handbook of project-based management. McGraw-Hill Professional
Publishing.
Turner, R. (2007). A handbook for project management practitioners.