ISY2004 Project Plan Part 1: Big Data Analytics Project at AIH

This report presents an initial project plan for Intelligent Information Inc.'s Big Data Analytics package implementation. The plan, developed to meet the CIO's requirements, focuses on integrating stakeholder groups into a unified platform for marketing, operations (IoT sensor management), and risk management (fraud detection). The project charter defines the background, scope, and objectives, including hiring a consultant, recruiting a technical team, securing a budget, deploying the platform, and training employees. The implementation plan outlines the work breakdown structure, project schedule (approximately 6 months), and budget ($1,500,000). A risk management plan addresses potential issues like scope creep and cyberattacks. The stakeholder register identifies key internal and external stakeholders, and the stakeholder management strategy employs a RACI matrix to define roles and responsibilities, emphasizing communication, cooperation, performance, and policy adherence.

Running Head: PROJECT MANAGEMENT
Project Plan Part 1
Name of the Student
Name of the University

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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.

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Table of Contents
Introduction......................................................................................................................................3
1. Project Charter.............................................................................................................................3
1.1 Project Background...............................................................................................................3
1.2 Project Scope Statement........................................................................................................4
1.3 Project Objectives..................................................................................................................4
1.4 Implementation Plan..............................................................................................................4
1.4.1 Work Breakdown Structure............................................................................................4
1.4.2 Project Schedule.............................................................................................................5
1.4.3 Project Budget................................................................................................................9
1.5 Risk Management Plan..........................................................................................................9
2. Stakeholder Register..................................................................................................................10
3. Stakeholder Management Strategy............................................................................................12
Conclusion.....................................................................................................................................14
References......................................................................................................................................15

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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,

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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.

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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

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Meeting between Primary
Stakeholders
1 day Fri 06-04-18 Fri 06-04-18
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

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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

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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

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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 High Very High Develop accurate

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additional costs and
expenses
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 platform
Very High Extreme Install strong firewalls,
anti-virus softwares and
ad blockers to prevent
any kind 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
PLEASE FILL NAME IS Project Manager External Analysis of the
requirements, execution,
monitoring and control

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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

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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
Management
Big Data
Platform
Development
System
Testing
Staff
Training
IS Project
Manager
R A R A A I
VP of C I C R C I

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Operations
VP of
Marketing
C I C R C I
Risk
Manager
C I R I I I
CFO,
Sponsor
C R I I I I
CIO C I I I I I
Business
Consultant
R I I I C I
Hardware
Technician
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.

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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.

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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.

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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.