Project Definition Report

This document provides a project definition report for a data analytics tool project being carried out by iPixel Creative. It includes project overview, management summary, background, purpose, scope and objectives, work structure, project organization, project management system, project control and monitoring, quality management, and tools required.

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Project Definition Report
Data Analytics Tool
4/13/2019

Project Definition Report
Table of Contents
Preface...................................................................................................................................................2
Purpose..............................................................................................................................................2
Project Overview...............................................................................................................................2
Management Summary..........................................................................................................................3
Background...........................................................................................................................................4
Purpose, Scope and Objectives..............................................................................................................4
Work Structure......................................................................................................................................5
Project Organisation..............................................................................................................................5
Project Management System.................................................................................................................8
Project Methodology.........................................................................................................................8
Project Control & Monitoring............................................................................................................8
Quality Management.........................................................................................................................9
Tools Required..................................................................................................................................9
Risks and Assumptions..........................................................................................................................9
Project Budgets....................................................................................................................................10
Project Justification.............................................................................................................................12
References...........................................................................................................................................13
Appendices..........................................................................................................................................14
Gantt chart.......................................................................................................................................14
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Project Definition Report
Preface
Purpose
The purpose of the document is to include project definition information for data analytics
tool project being carried out by iPixel Creative.
Project Overview
The project of data analytics tool development and deployment is being carried out by iPixel
Creative, Singapore for one of its clients from the finance domain (Ipixel, 2019). The client is
a medium-scale firm that provides financial assistance and services to its customers. The tool
being developed for the organization will allow it to keep a track of the customer data and its
associated patterns. The services and assistance will be provided accordingly. Also, the
tracking of the market data and information will become easier.
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Project Definition Report
Management Summary
The project of data analytics tool development and deployment is being carried out by iPixel
Creative, Singapore for one of its clients from the finance domain. The client is a medium-
scale firm that provides financial assistance and services to its customers. The purpose of the
project is to provide the client with the ability to analyse the customer data and information to
determine the associated patterns and trends. The financial services will be provided to the
clients accordingly. The project sponsor is the finance firm for which the application is being
developed. The resource will be responsible to provide sign-offs on the project deliverables.
The funds for the execution of the project activities will also be provided by the resource.
The methodology that will be used for managing the project tasks will be PMBoK
methodology. In this methodology, the management activities will be conducted in a set of
five process groups. These groups will include initiation, planning, execution, control, and
closure (Rose & Indelicato, 2009).
The project control and monitoring activities will be done throughout the project timeline.
However, there will be a defined process group that will be dedicated especially to these
activities. Quality management will be an activity that will be carried out throughout the
project. The planning of the quality processes will be done during the planning process group.
There will be numerous tools that will be used in the project. The planning and estimations of
the project will be carried out through Microsoft Project as the tool. The data analytics tools
being developed for the project client will include a combination of Big Data and Business
Intelligence tools. These tools will be needed to be integrated in the final system being
created for the client.
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Project Definition Report
Background
The organization, iPixel Creative is a web design and development company that is based out
of Singapore. The company was incepted in the year 2007 and has been working since then to
provide its clients with customized and latest technological solutions.
The project of data analytics tool development and deployment is being carried out by iPixel
Creative, Singapore for one of its clients from the finance domain. The client is a medium-
scale firm that provides financial assistance and services to its customers. The tool being
developed for the organization will allow it to keep a track of the customer data and its
associated patterns. The services and assistance will be provided accordingly. Also, the
tracking of the market data and information will become easier.
Purpose, Scope and Objectives
The purpose of the project is to provide the client with the ability to analyse the customer
data and information to determine the associated patterns and trends. The financial services
will be provided to the clients accordingly.
The scope of the project will include the following activities:
 Analysis of the business case will be done by the project team followed by meeting
with the project sponsor/client
 Stakeholder identification and mapping
 Feasibility analysis and high-level project analysis
 Selection of the project team and planning of the project areas, such as project
estimations, risk planning, quality planning, communication planning, and stakeholder
planning (Dalcher, 2015).
 Environment analysis for the project client
 Determination of the tools to procure and procurement management
 Determination of the data types, formats, and structures for the client
 Design of the data analytics tools - UI & Modules and Coding
 Integration of the database engine and system modules
 System and functional testing of the tool along with non-functional testing
 Defect reporting, resolution, and management followed by regression testing (Reich
& Wee, 2014)
 Implementation and User Acceptance Testing (UAT)
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Project Definition Report
 Deployment of the system at client-side
 Feedback processes - stakeholders and internal members
 Project evaluation and reflection
 Documentation of the system
The objectives of the project are as listed below:
 To develop and deploy the data analytics tool for the client
 To adhere with the estimates and the regulations
Work Structure
Project Organisation
There will be numerous resources involved in the project. The entities with the decision-
making power and authority are shown in the table below with their responsibilities described
alongside.
Resource Responsibilities
Project Sponsor The project sponsor is the finance firm for which the application is
being developed. The resource will be responsible to provide sign-
offs on the project deliverables. The funds for the execution of the
project activities will also be provided by the resource.
5
Data Analytics Tool
Phase One
Analysis of the business
case
Meeting with the project
sponsor/client
Stakeholder identification
and mapping
Feasibility analysis and
high-level project analysis
Milestone 1: Project
Definition Report (PDR)
Phase Two
Selection of the project
team
Planning of the project
areas
Environment analysis for
the project client
Determination of the
tools to procure and
procurement
management
Milestone 2: PMP
Phase Three
Determination of the
data types, formats, and
structures for the client
Design of the data
analytics tools - UI &
Modules
Coding
Integration of the
database engine and
system modules
Milestone 3: Developed
System
Phase Four
System and functional
testing of the tool
Non-functional testing
Defect reporting,
resolution, and
management followed by
regression testing
Implementation and User
Acceptance Testing (UAT)
Milestone 4: Test Reports
Phase Five
Deployment of the
system at client-side
Feedback processes -
stakeholders and internal
members
Project evaluation and
reflection
Documentation of the
system
Milestone 5: Final
completion report

Project Definition Report
Project Steering
Board
The board will provide internal approvals and guidance on the
project. The reviews and audits will also be conducted by the
resource.
Quality Assurance
Board
The quality assurance team in the project will share the test reports
with the board. The board will then determine the steps that shall be
taken to manage the project quality (Huemann, 2010).
Project Support
Office
The project maintenance and support activities shall be carried out
by the resource.
Apart from the above resources, there will be Project Manager and Procurement Manager
involved that will also have the power to make certain decisions for the project. Project
Manager will be the primary resource responsible for the internal project operations and
activities (Subramani & Karthick, 2018). The responsibilities and usage of these resources
along with the other resources in the project team is shown below.
Resource Name Work
Project Manager 328 hrs
Analysis of the business case 40 hrs
Meeting with the project sponsor/client 8 hrs
Feasibility analysis and high-level project analysis 48 hrs
Selection of the project team 40 hrs
Planning of the project areas 96 hrs
Feedback processes - stakeholders and internal members 40 hrs
Project evaluation and reflection 56 hrs
Data Scientist 432 hrs
Analysis of the business case 40 hrs
Planning of the project areas 96 hrs
Determination of the data types, formats, and structures for the client 72 hrs
Coding 168 hrs
Deployment of the system at client-side 56 hrs
Data Analyst 472 hrs
Feasibility analysis and high-level project analysis 48 hrs
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Project Definition Report
Determination of the data types, formats, and structures for the client 72 hrs
Design of the data analytics tools - UI & Modules 128 hrs
Coding 168 hrs
Deployment of the system at client-side 56 hrs
Data Engineer 448 hrs
Environment analysis for the project client 40 hrs
Determination of the data types, formats, and structures for the client 72 hrs
Coding 168 hrs
Integration of the database engine and system modules 96 hrs
Implementation and User Acceptance Testing (UAT) 72 hrs
Business Advisor 216 hrs
Analysis of the business case 40 hrs
Stakeholder identification and mapping 24 hrs
Planning of the project areas 96 hrs
Project evaluation and reflection 56 hrs
Technical Analyst 512 hrs
Feasibility analysis and high-level project analysis 48 hrs
Environment analysis for the project client 40 hrs
Design of the data analytics tools - UI & Modules 128 hrs
Coding 168 hrs
Implementation and User Acceptance Testing (UAT) 72 hrs
Deployment of the system at client-side 56 hrs
Quality Assurance Analyst 136 hrs
System and functional testing of the tool 72 hrs
Non-functional testing 64 hrs
Testing Associate 200 hrs
System and functional testing of the tool 72 hrs
Defect reporting, resolution, and management followed by regression
testing 56 hrs
Implementation and User Acceptance Testing (UAT) 72 hrs
Technical Writer 80 hrs
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Project Definition Report
Documentation of the system 80 hrs
Procurement Manager 152 hrs
Planning of the project areas 96 hrs
Determination of the tools to procure and procurement management 56 hrs
Project Management System
Project Methodology
The methodology that will be used for managing the project tasks will be PMBoK
methodology. In this methodology, the management activities will be conducted in a set of
five process groups.
The first will be the initiation process group. In this group, the business case analysis,
stakeholder identification, feasibility analysis, and high-level project analysis will be done.
The next will be the planning process group. In this group, the project planning and
estimations will be done. The third will be the execution process group in which the activities
around management of the design and development processes will be conducted. The fourth
will be the control process group in which quality management and implementation processes
will be carried out. The last will be the closure process group. In this group, the final project
activities will be conducted (Rose, 2013).
Project Control & Monitoring
The project control and monitoring activities will be done throughout the project timeline.
However, there will be a defined process group that will be dedicated especially to these
activities. It will be the fourth process group. In this group, the project control will be done by
conducting varied quality assurance and testing activities. The testing processes will include a
mixture of functional, non-functional and user acceptance test cases.
The functional and non-functional test cases will determine the functioning and integration of
the data analytics tool along with its performance, reliability, and security. UAT test cases
will provide the customer feedback and viewpoints.
There will also be determination of the quality done through project reviews and
walkthroughs. The use of Earned Value Analysis (EVA) technique will also be done. In this
technique, cost variance and schedule variance levels will be determined. If the value of the
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Project Definition Report
variance will be found negative, then the actions will be conducted to turn it to zero or a
positive value (Brioso, 2015).
Quality Management
Quality management will be an activity that will be carried out throughout the project. The
planning of the quality processes will be done during the planning process group.
The quality assurance and control activities will be carried out in the control process group.
In this group, the project control will be done by conducting varied quality assurance and
testing activities. The testing processes will include a mixture of functional, non-functional
and user acceptance test cases. The functional and non-functional test cases will determine
the functioning and integration of the data analytics tool along with its performance,
reliability, and security (Fanning, 2014). UAT test cases will provide the customer feedback
and viewpoints. The execution of the test cases will be done and the defects detected will be
logged in the defect management tool. The resolution of these defects will be done followed
by the conduction of regression test cases.
Tools Required
There will be numerous tools that will be used in the project. The planning and estimations of
the project will be carried out through Microsoft Project as the tool. The use of reporting and
Microsoft Office tools will be done for documentation. The SharePoint location will be used
for uploading the project documents.
The data analytics tools being developed for the project client will include a combination of
Big Data and Business Intelligence tools. These tools will be needed to be integrated in the
final system being created for the client.
Risks and Assumptions
There are certain assumptions considered for the project.
 It is assumed that the estimated project costs will be provided by the project sponsor.
 The resources selected for the project team will be available and there will be no cases
of major absenteeism.
 The alternate resources will be available in the organization in the case of absenteeism
of the employee or resignation from the organization.
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Project Definition Report
 The tools required for the project will be procured during the project activities and
will be compatible with the existing infrastructure.
There may be certain risks that may emerge during the project.
Risk Description Likeliho
od
Impact Treatment
Information
Security and
Privacy Risks
The data analytics tool is an application that
has a complete reliance on the information and
data sets that are put in. There will be
production data needed to validate and verify
the functioning of the system which may be
exposed to security risks and attacks, such as
malware issues, breaching, and networking
security attacks.
High High Avoid
Schedule/
Budget
Overrun
The cost variance or schedule variance levels
may be negative at some instance.
Moderat
e
High Avoid
Integration
Issues
The different modules of the tool at the back-
end may face integration problems (Gladden,
2012).
Moderat
e
High Mitigate
Changes in
Customer
Expectations
The customers may keep on changing the
requirements.
Moderat
e
High Mitigate and Avoid
Quality Issues There may be gaps in the project quality. Low High Avoid
Operational
Errors
The team members may carry out operational
mistakes.
Moderat
e
Moderate Avoid
Technical
Errors
The technical tools and components may turn
faulty.
Moderat
e
Moderate Transfer
Project Budgets
WBS Task Name Duration Cost
1 Data Analytics Tool 163 days $ 258,384.00
1.1 Phase One 14 days $ 27,808.00
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Project Definition Report
1.1.1 Analysis of the business case 5 days $ 11,880.00
1.1.2 Meeting with the project sponsor/client 1 day $ 808.00
1.1.3 Stakeholder identification and mapping 3 days $ 2,352.00
1.1.4 Feasibility analysis and high-level
project analysis 6 days $ 12,768.00
1.1.5 Milestone 1: Project Definition Report
(PDR) 0 days $ 0.00
1.2 Phase Two 29 days $ 53,848.00
1.2.1 Selection of the project team 5 days $ 4,040.00
1.2.2 Planning of the project areas 12 days $ 37,920.00
1.2.3 Environment analysis for the project
client 5 days $ 6,400.00
1.2.4 Determination of the tools to procure
and procurement management 7 days $ 5,488.00
1.2.5 Milestone 2: PMP 0 days $ 0.00
1.3 Phase Three 58 days $ 105,360.00
1.3.1 Determination of the data types,
formats, and structures for the client 9 days $ 18,936.00
1.3.2 Design of the data analytics tools - UI
& Modules 16 days $ 21,120.00
1.3.3 Coding 21 days $ 57,624.00
1.3.4 Integration of the database engine and
system modules 12 days $ 7,680.00
1.3.5 Milestone 3: Developed System 0 days $ 0.00
1.4 Phase Four 33 days $ 35,856.00
1.4.1 System and functional testing of the
tool 9 days $ 10,512.00
1.4.2 Non-functional testing 8 days $ 4,864.00
1.4.3 Defect reporting, resolution, and
management followed by regression testing 7 days $ 3,920.00
1.4.4 Implementation and User Acceptance
Testing (UAT) 9 days $ 16,560.00
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Project Definition Report
1.4.5 Milestone 4: Test Reports 0 days $ 0.00
1.5 Phase Five 29 days $ 35,512.00
1.5.1 Deployment of the system at client-side 7 days $ 14,728.00
1.5.2 Feedback processes - stakeholders and
internal members 5 days $ 4,040.00
1.5.3 Project evaluation and reflection 7 days $ 11,144.00
1.5.4 Documentation of the system 10 days $ 5,600.00
1.5.5 Milestone 5: Final completion report 0 days $ 0.00
Project Justification
The project that is selected is justified as it will provide the following benefits to the project
client and the project organization.
 The market shares of the financial firm will witness an increase by at least 34%.
 The project organization will receive return on investment at the rate of 16% or
above.
 The customer feedback levels will be high resulting in better organization reputation
in the market (Fernandez-Parra, Garrido-Saroza, Ramirez-Martinez & Perdomo-Bello,
2016).
 The employee satisfaction levels will also improve with the improvement in customer
satisfaction scores.
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Project Definition Report
References
Brioso, X. (2015). Integrating ISO 21500 Guidance on Project Management, Lean
Construction and PMBOK. Procedia Engineering, 123, 76-84. doi:
10.1016/j.proeng.2015.10.060
Dalcher, D. (2015). Going Beyond The Waterfall: Managing Scope Effectively Across the
Project Life Cycle. Project Management Journal, 46(1), e2-e2. doi:
10.1002/pmj.21475
Fanning, F. (2014). Adapting PMBoK Guidance to Public Sector Projects. Organization,
Technology And Management In Construction: An International Journal, 6(3). doi:
10.5592/otmcj.2014.3.3
Fernandez-Parra, K., Garrido-Saroza, A., Ramirez-Martinez, Y., & Perdomo-Bello, I. (2016).
PMBOK y PRINCE 2 similitudes y diferencias -PMBOK and PRINCE 2, similarities
and differences. Revista CientÃfica, 3(23), 111. doi:
10.14483/udistrital.jour.rc.2015.23.a9
Gladden, R. (2012). Book Review: The Project Risk Maturity Model: Measuring and
Improving Risk Management Capability. Project Management Journal, 43(5), 101-
101. doi: 10.1002/pmj.21296
Huemann, M. (2010). Considering Human Resource Management when developing a
project-oriented company: Case study of a telecommunication company. International
Journal Of Project Management, 28(4), 361-369. doi:
10.1016/j.ijproman.2010.02.008
Ipixel. (2019). iPixel Creative | Web Design & Development Company Singapore. Retrieved
from http://www.ipixel.com.sg/#about
Reich, B., & Wee, S. (2014). Searching for Knowledge in the Pmbok® Guide. Project
Management Journal, 37(2), 11-26. doi: 10.1177/875697280603700203
Rose, K. (2013). A Guide to the Project Management Body of Knowledge (PMBOK Guide)-
Fifth Edition. Project Management Journal, 44(3), e1-e1. doi: 10.1002/pmj.21345
Rose, K., & Indelicato, G. (2009). Book Review: A Guide to the Project Management Body
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Project Definition Report
of Knowledge (PMBOK® Guide), Fourth Edition. Project Management Journal,
40(2), 104-104. doi: 10.1002/pmj.20125
Subramani, T., & Karthick, T. (2018). Study on Time and Resource Management in
Construction Projects Using MS Project. International Journal Of Engineering &
Technology, 7(3.10), 23. doi: 10.14419/ijet.v7i3.10.15622
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Project Definition Report
Appendices
Gantt chart
15