Penn State - Data Management Project Proposal for EMG Corp - Fall 2024

This project proposal outlines a plan to research and develop a data management system to eliminate errors and accelerate turnaround times for EMG Corp clients. The proposal includes a background on the current data management processes, a statement of the problem highlighting the inefficiencies and errors in the existing system, and the significance of addressing these issues. The proposed research methods involve upgrading the operating system and gathering information through secondary sources and interviews with engineers. A detailed schedule with deadlines for each phase of the project is also provided, along with the qualifications of the project manager. The conclusion emphasizes the importance of improving the customer data management system to enhance operational values and reduce errors. The proposal seeks approval for the project, with the final report to be presented to the Chief of Operations and Senior Engineer. The assignment is based on a similar project brief provided by a student to their professor, where the student is seeking approval to proceed with research and development of a data management process.

David Thomas
321 My street
My Town, My state 32541
George Grier
Institution name
Department of Management
Institution address
Dear MR. George
It is to inform you that I want to proceed with the research paper based on customer data
management system for eliminating the errors in customer management faced by the companies.
The final report will be publish by the senior operation manager. Through this letter, I will share
the background of the paper and statement of the problem. Analyzing the significance of the
research paper, the schedule will be shared for the proposed project. In order to successfully
implementing the project plan, qualifications have been shared.
Background
Across the United States, Customer data management plays the significant role in case of
keeping the track of customer information as well as it helps to collect the feedbacks of the
customers for generating better satisfaction to the customers. In the organizational context, it can
be said that for generating the sales growth, by centralizing the customer data, it becomes easier
for the companies to deliver amazing experience to the customers. In the 21st century multiple
online as well as offline sources are being used for maintaining the data efficiency. Through the

customer data management system, developing future marketing strategies have become quite
easier for the companies. It significantly focuses on analyzing the potentiality of the customers,
which can help the company to generate values in near future. Currently developing the customer
data management system in an organization, the project managers will gather almost 100
information weekly basis. This project will be represented through the online platforms for
maintaining its data transparency.
Statement of the problem
Analyzing the issue in this project, it has been identified that in most of the cases, the traditional
customer data management system is being used by the companies, which has various errors.
People don’t have sufficient knowledge regarding the transformation of customer data
management system and its significant impact on the organizational context. In most of the
cases, older version of Windows is being used by the project engineers. As its impact the
inaccuracy in the results has created challenges for getting the ultimate result, which indirectly
impacted on the value generating process in the organization. On the other hand, lack of
collaboration among the system managers, it has become challenging in terms of implementing
the error free customer data management system, which created misinterpretation of customer
information. As its result, negative impact on the organizational outcome has become quite
visible.
Why it matters
The improvisation of customer data management system is needed in terms of generating the
sustainable value creation process. Lack of understanding regarding the advanced system, the
project managers were dealing with the continuous errors. On the other hand, in the traditional

customer data management system has increased challenges for the engineers to maintain the
error free customer information. As its impact improper information regarding the customers, the
uncertainty of project result has become the important concern. Rather than using the upgraded
version of windows, the existing project engineers were dealing with the previous version, which
has created data loss. In this situation, improvising the existing customer data management
system can significantly contribute in driving the positive outcome.
Research methods
In order to explore the possible solutions for the research project, I will be focusing on upgrading
the operating system used by the engineers. In order to analyze the issues, I will do research on
the situation and based on thee research of mine the elimination as well as addition related
decisions will be taken by me. In order to analyze the organizational perspectives, the research
will be done by me by using the secondary sources, in which I will take information from the
internet and existing journals. The primary information will also be beneficial in terms of getting
the in-depth information on the particular research project. By conducting interview with the
customer data handling engineers in different organizations, I will gather the information
regarding their perspectives. I strongly believe, using these methods it will be easier for me in
terms of understanding the future requirements of customer data management system in
generation organizational growth.
Schedule
The following schedule will be proposed by adding the deadlines.
Jan 4 The topic of the research proposal will be approved
Jan 11 Schedule meeting with Senior Engineer will be conducted for
collecting the information in the topic.

Jan 18 The proposal related interviews will be conducted with the CEOs by adding thee
budget
Jan 25 Consolidate interview data, and research results
Feb 1 Draft of the progress report will be submitted
Feb 4 Share interview data with Senior Engineer
and CEO
Feb 8 Start developing the feasibility report
Feb 15 The Progress Report will be shared as draft
Feb 22 The Formal Analytical Report will be shared
mar 6 The Formal Analytical Report will be shared as final draft
Mar 9 The research draft will be shared to the
Colleagues as well as others managers
Mar 13 The Formal Analytical Report
Present analytical report findings to Senior Engineer and CEO
Qualifications
I have experience in data management as well as data designing process, I have the ability to
work in diverse culture and as I have the knowledge regarding various field, in that situation
understanding the project issues is quite easier for me. I have critical thinking ability and it helps
me to tackle the deadlines of any projects. I have the knowledge of time management and
leadership that can help me to perform as a good role model.
Conclusion
The purpose of this proposal is to examine the significance of customer data management system
and its impact on enhancing the operational values in the organization. In order to reduce the
emerging errors ion customer management system this proposal will suggest to improvise the
data management system for specifically dealing with the increasing errors in operations. I
request your approval for the project. Please contact me for any questions.

Thanks
David Thomas
Project manager

References
Blöcher, K. and Alt, R., 2018, September. An Approach for Customer-Centered Smart Service
Innovation Based on Customer Data Management. In International Conference on Exploring
Service Science (pp. 45-58). Springer, Cham.
Joshi, A., 2018. Digital technologies for enhancing customer experience. Sansmaran Research
Journal, pp.1-8.
Schmidt, R., Möhring, M. and Keller, B., 2017. Customer Relationship Management in a Public
Cloud environment–Key influencing factors for European enterprises.
Udaya, B., Indhumathi, T., Varshini, R.A. and Kumar, S.S., 2017, March. Customer
management model for telecommunication services. In 2017 Third International Conference on
Science Technology Engineering & Management (ICONSTEM) (pp. 207-213). IEEE.