Functional Analysis for Campaign Management System - Desklib

This presentation focuses on the functional analysis of campaign management system for Desklib. It includes project aim, execution plan, data collection/analysis plan, proposed artifact, individual roles and responsibilities, and bibliography.

Functional Analysis
for Campaign
Management System

 Identify new feature, develop of technology
on campaign management platform
 Add new features into proposed platform
 Aim is to study functional analysis of
campaign management system for
Saralrozgar
Project aim/objectives and
problem

The objectives of the project are:
 To identify the features and functionalities into the campaign
management platform
 To identify the requirements of the company base on size and
nature of business
 To compare price of campaign manager and suggest of price
model and costing for the proposed platform
Problem in the project is that the staffs of the company have no
such technical idea to implement the system.
Project aim/objectives and
problem (Contd.)

 To complete the implementation of
campaign management platform
 Total duration of the project plan is 48 days.
 Start date is 3rd August 2017
 End date is 9th October 2017
Project execution plan

Project execution plan (Contd.)

 Collect data using primary data analysis method
 Use of questionnaire method
 10 questions are used to take responses from the participants
 Closed ended questions where the respondent has to pick
answers from the provided answers
 The sample population for the project is 20 employees to
conduct the survey using the questionnaire
 The employees are working into Tech Mahindra Growth
Factories Limited
Data collection/analysis plan

 Quantitative data analysis is used for
analyzing the collected data
 Transform the gathered data into numerical
data form
 Design and collect statistical analysis of the
responses
Data collection/analysis plan
(Contd.)

The artefacts are:
 Data and process modeling-ER diagram:
Explains how the entities like people, object are
related to each other
 Data flow diagram: Represents the graphical
representation of flow of data
 Class diagram: Illustrates relationships as well as
source code dependencies
Explanation of proposed artifact

 Use case diagram: Explains the representation of
the interaction of users into the system
 Flow chart: Represents the entire workflow and
process which shoes the steps of the entire project
work.
 Those artefacts help to describe functions,
architecture and design of the campaign
management system.
Explanation of proposed artifact
(Contd.)

 All the project roles and responsibilities are equally
distributed among 4 of the project team members.
 Student 1: Role is project manager and responsible
for initiation, planning, designing, executing and
monitoring the project work.
 Student 2: Role is project sponsor and responsible
for entire accountability of the project.
Individual roles and
responsibilities

 Student 3: Role is Developer or Technical
Expert and responsible for processing
software development such as design,
research and testing .
 Student 4: Role is note taking and
responsible for organized meetings for
discussing important points regarding the
research.
Individual roles and
responsibilities (Contd.)

 Chen, S. M., Chen, P. H., & Chang, L. M. (2013). A framework for an automated and integrated project scheduling
and management system. Automation in Construction, 35, 89-110.
 Field, T. (2015). The benefits and limitations of quantitative data collection to the literature review data collection.
 Krüger, F., Bader, S., Hein, A., & Kirste, T. (2017, November). A Virtual Research Environment to Support Remote
Behaviour Monitoring from Data Collection to Analysis. In Data Mining Workshops (ICDMW), 2017 IEEE
International Conference on(pp. 711-718). IEEE.
 Nardi, P. M. (2018). Doing survey research: A guide to quantitative methods. Routledge.
 Neuman, W. L. (2016). Understanding research. Pearson.
 Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling
for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in
Mental Health and Mental Health Services Research, 42(5), 533-544.
 Salganik, M. J., & Levy, K. E. (2015). Wiki surveys: Open and quantifiable social data collection. PloS one, 10(5),
e0123483.
 Treiman, D. J. (2014). Quantitative data analysis: Doing social research to test ideas. John Wiley & Sons.
Bibliography

Thank
You…