Project Plan Part 1 - Information System Project Management

This project plan aims to integrate all stakeholder groups into one common platform from which all the operations can be performed. It includes project charter, scope statement, objectives, implementation plan, risk management plan, stakeholder register and management strategy.

AUSTRALIAN INSTITUTE OF HIGHER EDUCATION P/L
ASSESSMENT ITEM COVER
SHEET
NAME OF STUDENT: TAIMOOR RASHID
STUDENT ID NUMBER: 102692
UNIT CODE: ISY 204
UNIT NAME: INFORMATION SYSTEM PROJECT MANAGEMENT
LECTURER: DR IAN KRYCER
TITLE OF ASSESSMENT ITEM: ASSESSMENT 1 (REPORT)
WORD COUNT: 1513
DATE ASSESSMENT ITEM IS DUE: 6-4-18
ACTUAL DATE OF SUBMISSION: 6-4-18 TIME OF SUBMISSION: 7:00 PM
STUDENT DECLARATION:
I HEREBY STATE THAT THIS ASSESSMENT ITEM IS MY OWN WORK. ALL
REFERENCES AND CITATIONS (AS RELEVANT) ARE INCLUDED.
STUDENT NAME: TAIMOOR RASHID DATE: 6-4-18

PROJECT PLAN PART 1
Executive Summary
In this project, the main aim is to fulfill all requirements set by the CIO of Intelligent
Information Inc. The main requirement of the project is to integrate all the stakeholder groups
into one common platform from which all the operations can be performed. As per the
requirement, the platform should be able to support marketing operations like identification
of potential customers, operational requirements like management and maintenance of IoT
sensors and risk management operations like fraud detection and prevention.

Table of Contents
Introduction......................................................................................................................................
1. Project Charter.............................................................................................................................
1.1 Project Background...............................................................................................................
1.2 Project Scope Statement........................................................................................................
1.3 Project Objectives..................................................................................................................
1.4 Implementation Plan..............................................................................................................
1.4.1 Work Breakdown Structure............................................................................................
1.4.2 Project Schedule.............................................................................................................
1.4.3 Project Budget................................................................................................................
1.5 Risk Management Plan..........................................................................................................
2. Stakeholder Register..................................................................................................................
3. Stakeholder Management Strategy............................................................................................
Conclusion.....................................................................................................................................
References......................................................................................................................................

Introduction
This project is based on the purchase and implementation of a Big Data Analytics
package for Intelligent Information Inc that will enhance the existing business operations and
marketing policies of the company (Marz and Warren 2015). The implementation of the Big
Data Analytics Package has been suggested by the CIO due to a number of reasons. Firstly,
the Big Data Analytics Package will be able to provide an integrated platform on which all
the various required operations from different stakeholder groups can be performed all at
once. This will replace the need for separate platforms for each department that are not only
hard to manage but also have too much maintenance and management costs (Wamba et al.
2015). Secondly, with the new analytics platform almost of the operations will become
automated and not further require too much human interference. This will also reduce the
operational errors caused by the manual management systems.
1. Project Charter
1.1 Project Background
The CIO of Intelligent Information Inc wants to deploy a suitable big data platform
that will help various stakeholder groups of the company. Some of the important
requirements include identification of potential customers, improvement of service,
management and maintenance of IoT sensors, fraud detection and prevention and others
(Dhamodaran, Sachin and Kumar 2015). The main challenge of the development is that all of
the requirements should be met such that all of these should be integrated within one
common platform. In other words, there should not be separate systems for the different
requirements; there will be one common platform through all of the required operations can
be performed.

1.2 Project Scope Statement
Based on the background and requirements of the project, the project scope can be
determined as follows.
Scope 1 – Purchase and implementation of a Big Data Analytics Package is within
the scope of the project.
Scope 2 – Integration of all stakeholder groups is within the scope of the project.
1.3 Project Objectives
The objectives of the project are as follows.
 To hire a suitable consultant for helping to identify best analytics package
 To recruit project team consisting of technical experts
 To procure sufficient budget for the project
 To deploy the new Big Data Analytics Platform
 To train the existing employees to use the system
1.4 Implementation Plan
1.4.1 Work Breakdown Structure
The work breakdown structure of the project is as follows.

Figure 1: Work Breakdown Structure of the Project
(Source: Created by Author)
1.4.2 Project Schedule
The estimated project schedule is shown in the following table.
Task Name Duration Start Finish
Implementation of Big Data
Analytics
142 days Mon 02-04-18 Tue 16-10-18
Project Initiation 10 days Mon 02-04-18 Fri 13-04-18
Appointment of Project Manager 2 days Mon 02-04-18 Tue 03-04-18
Listing of Project Requirements 2 days Wed 04-04-18 Thu 05-04-18
Meeting between Primary 1 day Fri 06-04-18 Fri 06-04-18

Stakeholders
Preparation of List of Deliverables 1 day Mon 09-04-18 Mon 09-04-18
Consultation with Big Data Expert 2 days Tue 10-04-18 Wed 11-04-18
Finalization of Plan 2 days Thu 12-04-18 Fri 13-04-18
Project Preparations 32 days Mon 16-04-18 Tue 29-05-18
Preparation of Project Charter 5 days Mon 16-04-18 Fri 20-04-18
Determination of Project Scope 2 days Mon 23-04-18 Tue 24-04-18
Determination of Project Objectives 1 day Wed 25-04-18 Wed 25-04-18
Preparation of Project Schedule 2 days Thu 26-04-18 Fri 27-04-18
Estimation of Project Budget 3 days Mon 30-04-18 Wed 02-05-18
Assign Roles to Stakeholders 4 days Thu 03-05-18 Tue 08-05-18
Preparation of Stakeholder
Management Plan
2 days Wed 09-05-18 Thu 10-05-18
Analysis of Potential Risks 4 days Fri 11-05-18 Wed 16-05-18
Preparation of Risk Management
Strategy
3 days Thu 17-05-18 Mon 21-05-18
Procurement of Project Budget 2 days Tue 22-05-18 Wed 23-05-18
Allocation of Duties and Roles 2 days Thu 24-05-18 Fri 25-05-18
Deployment of Project Teams 2 days Mon 28-05-18 Tue 29-05-18

Project Execution 88 days Wed 30-05-18 Fri 28-09-18
Purchase of Necessary Hardware 15 days Wed 30-05-18 Tue 19-06-18
Purchase of Necessary Software 10 days Wed 20-06-18 Tue 03-07-18
Installation of Hardware and
Software
15 days Wed 04-07-18 Tue 24-07-18
Installation of Big Data Platform 5 days Wed 25-07-18 Tue 31-07-18
Purchase of Big Data Analytics
Package
4 days Wed 01-08-18 Mon 06-08-18
Phase 1: Marketing 15 days Tue 07-08-18 Mon 27-08-18
Installation of Sales Forecast Feature 5 days Tue 07-08-18 Mon 13-08-18
Installation of Potential Customer
Identification Feature
5 days Tue 14-08-18 Mon 20-08-18
Testing of the System 5 days Tue 21-08-18 Mon 27-08-18
Phase 2: Operations 9 days Tue 28-08-18 Fri 07-09-18
Link the Platform to Existing IoT
Sensors
2 days Tue 28-08-18 Wed 29-08-18
Control the Sensors using the Big
Data
2 days Thu 30-08-18 Fri 31-08-18
Testing of the System 5 days Mon 03-09-18 Fri 07-09-18

Phase 3: Risks 15 days Mon 10-09-18 Fri 28-09-18
Install Fraud Detection Feature 5 days Mon 10-09-18 Fri 14-09-18
Install Fraud Prevention Feature 5 days Mon 17-09-18 Fri 21-09-18
Testing of the System 5 days Mon 24-09-18 Fri 28-09-18
Project Closing 12 days Mon 01-10-18 Tue 16-10-18
Project Handover 5 days Mon 01-10-18 Fri 05-10-18
Project Documentation 5 days Mon 08-10-18 Fri 12-10-18
Stakeholder Sign Off 1 day Mon 15-10-18 Mon 15-10-18
Final Closing 1 day Tue 16-10-18 Tue 16-10-18
1.4.3 Project Budget
The overall budget of the project is estimated as follows.
Resources / Requirements Estimated Cost
Hardware Requirements $50,000
Necessary Software $10,000
Big Data Analytics Platform $40,000
Development Costs $10,000
Developer Wages and Consultation Fees $15,000
Stakeholder Wages and Payments $25,000

TOTAL $1,500,000
1.5 Risk Management Plan
The risk management plan for the project is developed using risk register matrix as
follows.
Risk Description Chance of
Occurrence
Impact on
Project
Mitigation
Strategy
Scope Creep
caused due to
inappropriate
definition of
project scope
High High Define scope
statement properly
during
development of
the project charter
Budget overshoot
due to additional
costs and expenses
High Very High Develop accurate
budget estimation
and keep 10-20%
of the budget as
contingency
money (Gandomi
and Haider 2015)
Cyber attacks
through various
online media
during setting up
of the big data
Very High Extreme Install strong
firewalls, anti-
virus softwares
and ad blockers to
prevent any kind

platform of malwares and
broken files to
enter into the
system
Poor management
and maintenance
of the system due
to lack of
sufficient
technical expertise
in big data
Very High Medium Conduct training
sessions for all the
stakeholder
groups after the
project is over
2. Stakeholder Register
The stakeholder register for the project is developed as follows.
Stakeholder
Name
Stakeholder
Designation
Stakeholder
Category
Stakeholder Role
Tim Royce IS Project
Manager
External Analysis of the
requirements,
execution,
monitoring and
control of project
and related human
resources
George Smith VP of Operations Internal Management of the

operational aspects
of the project
including
development of
IoT control using
the integrated Big
Data platform
Sam Johnson VP of Marketing Internal Management of the
marketing aspects
of the project
including
development of
business analytics
in the platform
Vinh Tran Risk Manager Internal Assessment and
management of
project risks as
well as managing
the risk
management
feature of the big
data platform
Jack Smith CFO, Sponsor Internal Providing
sufficient funds for

the project
Susan Wong CIO, Steering
Company
Member
Internal Manage and
employ external
stakeholders for
the project
Robert Beric Business
Consultant
External Provide business
suggestions and
recommendations
including selection
of Big Data
Analytics Platform
Jason Johnson Hardware
Technician
External Upgradation of the
existing hardware
at the company
Magnus Olsson Big Data Expert External Development of
the Proposed
Platform
Gary Ebbert Trainer External Train stakeholder
groups for using
the big data
platform

3. Stakeholder Management Strategy
In order to develop an appropriate stakeholder management strategy, an RACI matrix
is developed as follows.
Charter
Development
Budget
Allocation
Risk
Manage
ment
Big
Data
Platfor
m
Develop
ment
System
Testing
Staff
Trainin
g
IS
Project
Manage
r
R A R A A I
VP of
Operati
ons
C I C R C I
VP of
Marketi
ng
C I C R C I
Risk
Manage
r
C I R I I I
CFO,
Sponsor
C R I I I I

CIO C I I I I I
Business
Consultan
t
R I I I C I
Hardwa
re
Technic
ian
C I C R C I
Big
Data
Expert
C I C R R I
Trainer I I I I I R
Furthermore, as per the stakeholder management strategy, each stakeholder must
follow the following guidelines.
Communication – The stakeholders must communicate with each other via
appropriate medium throughout the project.
Cooperation – The stakeholders must cooperate with each other throughout the
project (Kerzner and Kerzner 2017).
Performance – The stakeholders must exhibit maximum enhanced performance
throughout the project.
Adherence to Policy – The stakeholders must stick to company guidelines and
policies at all situations.

Conclusion
In this report, an initial project plan has been developed for the proposed
implementation plan of the Big Data Analytics Package for Intelligent Information Inc. As
per the estimated plan, the overall project duration is around 6 months and the estimated
budget for the project is $1,500,000. As per the proposed plan, ten different internal and
external stakeholders have been appointed for the project who will manage various aspects of
the same.

References
Dhamodaran, S., Sachin, K.R. and Kumar, R., 2015. Big data implementation of natural
disaster monitoring and alerting system in real time social network using hadoop technology.
Indian Journal of Science and Technology, 8(22), p.1.
Fleming, Q.W. and Koppelman, J.M., 2016, December. Earned value project management.
Project Management Institute.
Gandomi, A. and Haider, M., 2015. Beyond the hype: Big data concepts, methods, and
analytics. International Journal of Information Management, 35(2), pp.137-144.
Harrison, F. and Lock, D., 2017. Advanced project management: a structured approach.
Routledge.
Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A. and Khan, S.U., 2015. The
rise of “big data” on cloud computing: Review and open research issues. Information
Systems, 47, pp.98-115.
Heagney, J., 2016. Fundamentals of project management. AMACOM Div American Mgmt
Assn.
Kerzner, H. and Kerzner, H.R., 2017. Project management: a systems approach to planning,
scheduling, and controlling. John Wiley & Sons.
Marz, N. and Warren, J., 2015. Big Data: Principles and best practices of scalable realtime
data systems. Manning Publications Co..
Schwalbe, K., 2015. Information technology project management. Cengage Learning.
Walker, A., 2015. Project management in construction. John Wiley & Sons.

Wamba, S.F., Akter, S., Edwards, A., Chopin, G. and Gnanzou, D., 2015. How ‘big data’can
make big impact: Findings from a systematic review and a longitudinal case study.
International Journal of Production Economics, 165, pp.234-246.
Wang, Y., Kung, L. and Byrd, T.A., 2018. Big data analytics: Understanding its capabilities
and potential benefits for healthcare organizations. Technological Forecasting and Social
Change, 126, pp.3-13.