Project 1: Customer Data Management Proposal - Analysis Report

This report presents a proposal for a research project focused on customer data management within the context of a marketing agency. The student aims to analyze the challenges of traditional data management methods and highlight the advantages of modern, digital approaches. The proposal outlines the problem, which includes the decreasing effectiveness of older data management systems and the lack of collaboration among managerial personnel. The research objectives include exploring solutions to these issues, upgrading operational strategies, and providing recommendations for improved customer data management. The methodology involves both primary and secondary research, including surveys and interviews with marketing and operational managers. The report includes a detailed schedule, qualifications of the student, and a conclusion summarizing the importance of digital data management. The project seeks to provide a comprehensive analysis of customer data management, offering valuable insights and recommendations for the marketing agency to enhance its strategies and improve customer satisfaction.

Running Head: BUSINESS WRITING
BUSINESS WRITING
Name of the Student
Name of the University
Author Note:

1BUSINESS WRITING
Background
Customer data management is a significant role in the corporate sector of United
States. It is important for keeping the track of customers data and it also help to gather the
feedback and recommendation from the consumers (Erevelles, Fukawa and Swayne 2016).
The customer feedback and recommendation is useful for the companies to enhance the
strategies to provide customer satisfaction. For the organizational management, the customer
data or information is important for generating more sales growth through centralizing the
information about the consumers. Multiple online and offline sources are there to manage the
data efficiency as per the record of 21st century (Mantelero 2014). Development of marketing
strategy is possible through the effective management of customer data. The focal point of
this management system is to analyzing the capability of the consumers. It will help the
organizations to maintain the organizational value in the near future. Hence the paper will
demonstrate the importance of customer data management for a marketing agency. It will
also mention the role of the online platforms to maintain the transparency of data.
Statement of the problem
The paper aims to analyze the decreasing benefits of traditional customer data
management and increasing benefit of modern and digital procedures of customer data
management. To argue about the problem, the paper focuses on the marketing agency and
analyze the probable solution from the perspective of this agency. Along with this, the paper
will discuss about the functionality of older version of Windows that is creating difficulty for
the operation engineers. The paper will find the existing lack of collaboration within the
managerial personnel that always leads to misinterpretation of the consumer data. As an
outcome the organizational management will be observed with negative upshot.

2BUSINESS WRITING
Research objective
The paper will dedicatedly mooted into
 Explore the possible resolving strategies for the mentioned problem. ‘
 Pay more focus to upgrade the operational strategies of the engineers.
 Provide additional recommendation for the marketing industry to improve the
customer data management facility.
 Arrange a secondary research for gathering information from the available journals
available online.
 Arrange a primary interview with the managers of the organization about their
uniqueness in implementing customer data management techniques.
Research methodology
The paper will focus on latest techniques used by the operation engineers of an
marketing agency to handle the consumer data. Both the primary and secondary research
methodologies will be considered for finding proper solution of the problem statement. A
survey questionnaire will be posted on the online portal of the marketing agency to gather
consumer feedback. The operational and marketing managers of the organization will be
conducted with an interview to measure their knowledge about the digital technology of
customer data management.
Schedule
Dates Task
Jan 4 Approval of the topic and proposal
Jan 11 Scheduling the meeting with the operation and marketing managers of the
organization for information gathering.
Jan 18 Interviews will be conducted along with the budget addition.

3BUSINESS WRITING
Jan 25 Consolidation of the interview data and research outcome.
Feb 1 First draft of the progress assignment will be submitted.
Feb 4 Sharing the interview information with the senior manager or engineer.
Feb 8 Initiation of the development of feasibility report.
Feb 15 Sharing the draft of the first progress report.
Feb 22 The initial analytical report will be provided.
Mar 6 The initial analytical report will be shared as final draft
Mar 9 The research report will be shared with the marketing managers as well as
the authoritative members of the organization.
Mar 13 Presenting the analytical report to the senior engineer.
Qualification
 Experience in data management and data designing process.
 Management of diverse culture.
 Ability to critically think and analysis.
 Skill of time management.
Conclusion
The purpose of this proposal is to analyze the efficiency of digital management of
consumer information with proper and justified comparison with traditional and offline
management of consumer data.

4BUSINESS WRITING
Reference
Erevelles, S., Fukawa, N. and Swayne, L., 2016. Big Data consumer analytics and the
transformation of marketing. Journal of Business Research, 69(2), pp.897-904.
Mantelero, A., 2014. The future of consumer data protection in the EU Re-thinking the
“notice and consent” paradigm in the new era of predictive analytics. Computer Law &
Security Review, 30(6), pp.643-660.
LaFever, M.G. and Myerson, T.N., 2014. Systems and methods for private and secure
collection and management of personal consumer data. U.S. Patent Application 13/764,773.
Dong, X.L. and Srivastava, D., 2013, April. Big data integration. In 2013 IEEE 29th
international conference on data engineering (ICDE) (pp. 1245-1248). IEEE.
Jin, X., Wah, B.W., Cheng, X. and Wang, Y., 2015. Significance and challenges of big data
research. Big Data Research, 2(2), pp.59-64.