Project Plan for Intelligent Information Inc

This project plan outlines the implementation and purchase of big data analytics package for Intelligent Information Inc. The scope of the project is to implement big data analytic solutions for each business area, identify project requirements, hire consultants, and transition the system from projects to production. The stakeholder register includes the VP of Operations, VP of Marketing, Risk Manager, Project Sponsor, CIO, and IS Project Manager. The stakeholder management strategy involves keeping stakeholders engaged and informed through regular communication. The budget for the project is $1,500,000.

Running head: PROJECT PLAN
Project Plan for Intelligent Information Inc
Name of the Student:
Name of the University:

1PROJECT PLAN
Table of Contents
Project Plan for Intelligent Information Inc.....................................................................................2
1. Project charter and scope statement.........................................................................................2
2. Stakeholder register.................................................................................................................6
3. Stakeholder management strategy...........................................................................................9
References......................................................................................................................................11
Bibliography..................................................................................................................................12
Appendix........................................................................................................................................13
1. Project schedule plan.............................................................................................................13
2. Gantt chart.............................................................................................................................16

2PROJECT PLAN
Project Plan for Intelligent Information Inc
1. Project charter and scope statement
Project Title: Big data analytics in Intelligent
Information Inc.
Project Manager: (Please inset your name)
Project start date and end date The total duration of this project plan is 6
months. The start date of the plan is 28th
March, 2018 and end date is 28th September,
2018.
Business Requirements
The strategic goal of Intelligent Information Inc. is to use of big data and purchase of big data
analytics package. The business is required to hire consultant to identify the analytical packages.
The organization gains access to the internal data sources throughout the system of IT
department.
Project Objectives
The business objectives of Intelligent Information Inc. to plan this project are:
 To implement series of big data analytic solutions for each business areas
 To identify project requirements for continuation of program of big data analytics
 To hire of consultants for identification of big data analytics packages
 To do transition of system from projects to the production
Project Scope Statement
The scope of this project work is to implement and purchase of big data analytics package for
Intelligent Information Inc. The big data package helps the business to achieve real time results

3PROJECT PLAN
by going through data analysis. The in-scope statement is that it helps to save cost, better sales
insights and detection of fraud. The out-scope statement is that it keeps the customers trends and
improves their customer service dramatically.
Deliverables Software products, training programs, big data analytics software,
accounting program.
Risks and issues I. The risk is interested into detection of fraud and its prevention.
At the time of implementing big data analytics, privacy risk is
the main issue for the business organization. There are
catastrophic data breaches at the business which hampers the
brand reputation of Intelligent Information Inc.
II. There is potential loss over control of the personal information.
While accessing the personal information, there is need to take
permission.
III. The risk that the information about big data analytics collected
for the commercial purposes are not treated into fair manner.
IV. There is also risk of data breaches which impact and provide a
reputational damage in addition to loss of the business.
Budget $ 1,500,000
Milestone schedule Milestone activities Expected start date
Milestone 1: Completion of building
phase
22nd May, 2018
Milestone 2: Completion of buying
phase
16th July, 2018

4PROJECT PLAN
Milestone 3: Completion of
implementation phase
13th September, 2018
Milestone 4: Completion of project
closure phase
27th September, 2018
Project approach Agile project management approach is used into the big data analytics.
This approach is tried to focus on the business objective of software
development such as creation of working software without any
defects. This project approach addresses the needs of the customers.
Throughout the whole life cycle, the involvement of user is expectant,
provided visibility along with transparency which shows the project
progress. The agile approach adapts of requirement changes at the
time of implementation of big data analytics. The benefits of this
project approach are:
 Higher product quality
 Higher level of customer satisfaction
 Increased into project control
 Reduction of project risks
 Faster return of investment
Roles and responsibilities of project team members
Name of team members
and their role
Responsibilities
George Smith (VP of
Operations)
 The person helps to design winning strategy for
Intelligent Information Inc., oversees the managers as

5PROJECT PLAN
they are carrying out the plan.
 VP of operations expected to search for new areas for
growth as well as improvement into company’s divisions.
Sam Johnson (VP of
Marketing)
 VP of marketing develops and implements marketing
plan to raise brand awareness of the company.
 The person designs and reviews budget for marketing
department.
 They also build relationships with the stakeholders and
monitor the marketing campaigns.
 Marketing VP also conducts market analysis to identify
opportunities in addition to challenges for growth.
Vinh Tran (Risk Manager)  The risk manager provides methodology for analyzing
the financial impact of losses, prepares risk management
plan to identify and mitigate the risks.
Jack Smith (Project Sponsor)  The project sponsor provides championship for project,
provides guidance to project manager, and ensures that
the business requirements are valid.
 The sponsor also makes sure that the changes into the
project are managed perfectly and manages the risks.
Susan Wong (CIO)  CIO formulates the organizational goals and analyzes the
electronic information across the business.
 They have ability to recruit as well as direct the IT staff
members and aptitude for the engagement of customers.

6PROJECT PLAN
Please insert your name (IS
Project Manager)
 The project manager hires consultant for assisting with
identification of the big data analytics.
 They recruit project team of both internal as well as
external staff.
 The manager also negotiates with the vendor with
assistance of purchasing department and produces of
licenses.
 The manager also trains the business users along with IT
maintenance staffs.
Project plan approval IS project Manager
Project Sponsor
CIO
2. Stakeholder register
It is the project management document that contains of information about the
stakeholders of project. It identifies people, groups as well as organizations those are interest and
involve into the project. The identified stakeholder for the project plan is vice president of
operations, vice president of marketing, risk manager, project sponsor, CIO and IS project
manager. The following table shows the stakeholder register for this particular project plan:

7PROJECT PLAN
Name of the
stakeholder
Role in the
project
Department Type of
stakeholder
Type of
communication
Expectations Power Interest Influence
on the
project
outcome
Involvement
into the
project
George Smith Vice
President
Operations Internal Weekly video
conference
Overseeing more
20% production of
the goods and
services and running
of smooth effective
services.
High High Medium Medium
Sam Johnson Vice
President
Marketing Internal Weekly video
conference
Marketing of the
products and
services and
purchase of big data
analytics for the
organization.
Low Low Medium Medium
Vinh Tran Risk
Manager
Operations External Weekly meetings Minimizing of the
possible business
risks before it
affects the brand
reputation of the
company.
Low High

8PROJECT PLAN
Jack Smith Project
Sponsor
Chairman of
project
steering
committee
External Weekly meetings Collecting of more
and more funds for
the project.
High Low High High
Susan Wong CIO Member of
steering
committee
External Weekly video
conference
Determination of
best big data
analytics solution
for the business
organization,
monitor the best
performance and
makes sure of the
benefits realization.
Low Low Low Low
Please inset
your name
IS Project
Manager
Operations External Daily meetings Project will
complete by end of
September 2018.
High High Medium High

9PROJECT PLAN
3. Stakeholder management strategy
Keep satisfied
Project Sponsor
Manage closely
Vice President of Operations
IS Project Manager
Monitor
Vice President of Marketing
CIO
Keep informed
Risk Manager
Figure 1: Stakeholder Management Strategy
(Source: Created by author)
From the above figure, it is analyzed that the stakeholder group are made of people those
can share common interest and power while working into the project plan. From the stakeholder
management strategy, the amounts of influence the stakeholders have along with extent to which
the stakeholders are important to the project are also analyzed. The Vice President of Operations
and IS project manager managed the project plan closely with higher level of power as well as
interest. The Vice President of Marketing and CIO has lower power and interest into the project
plan and they are monitoring the plan. The risk manager has high interest and low power into the
project plan. They are keeping informed about any activities into the project. The project sponsor
Power
Interest
High
Low
High
Low

10PROJECT PLAN
has lower interest and higher power into as funding for the project is the key role of them. They
are kept satisfied with the funds for the plan.
The key requirement of Intelligent Information Inc. is to keep the stakeholders engaged
into the project plan. There are five stakeholder management strategies which are used to
manage the engagement of stakeholders into the project plan:
1. Development of list of people who are required to hire for the implementation of
big data analytics and the business organization should have capability to impact
both positively and negatively the issues (Montero et al. 2015).
2. There should be segmentation of stakeholders based on understanding the degree
of capability to impact the desired project outcomes such as high, medium and
low (Carroll and Buchholtz, 2014).
3. The project owner is assigned to manage the stakeholders based on level of their
potential impacts. The low impact stakeholders are also assigned to some of the
project activities.
4. A project timeline is determined for regular communication purposes for the key
stakeholders to ensure that they are up to date on the requirements to support the
organizational goals (Cukier et al. 2014).
5. The key messages are delivered to the project stakeholders based on their interest
(Garcia‐Castro and Francoeur, 2016). A communication plan is mainly required to
interact with the stakeholders to understand them their responsibilities into the
project plan.

11PROJECT PLAN
References
Carroll, A. and Buchholtz, A., (2014). Business and society: Ethics, sustainability, and
stakeholder management. Nelson Education.
Cukier, W., Connely, K., Jackson, S., Smarz, S., Saekang, A., Holmes, M. and Bindhani, P.,
(2014). Evaluation of the Human Rights Project Charter. Diversity Institute, Ryerson University.
Garcia‐Castro, R. and Francoeur, C., (2016). When more is not better: Complementarities, costs
and contingencies in stakeholder management. Strategic Management Journal, 37(2), pp.406-
424.
Montero, G., Lopez-Paredes, A., Pajares, J. and Onieva, L., (2015). Brief analysis of the
discovery of America as a success case for the project stakeholder management. International
Journal of Engineering Management and Economics, 5(1-2), pp.104-113.

12PROJECT PLAN
Bibliography
Alemanno, A., (2015). Stakeholder engagement in regulatory policy.
Eskerod, P. and Jepsen, A.L., (2016). Project stakeholder management. Routledge.
Furterer, S.L. ed., (2016). Lean Six Sigma in service: applications and case studies. CRC Press.
Meredith, J.R., Shafer, S.M., Mantel Jr, S.J. and Sutton, M.M., (2016). Project management in
practice. Wiley Global Education.
O’Dea, M., (2014). Process improvement.
Pandi-Perumal, S.R., Akhter, S., Zizi, F., Jean-Louis, G., Ramasubramanian, C., Edward
Freeman, R. and Narasimhan, M., (2015). Project stakeholder management in the clinical
research environment: How to do it right. Frontiers in psychiatry, 6, p.71.
Rowe, S.F., (2015). Project management for small projects. Management Concepts Inc..
Whitaker, S., (2016). Stakeholder Management. In Pass the PMP® Exam (pp. 445-474). Apress,
Berkeley, CA.

13PROJECT PLAN
Appendix
1. Project schedule plan
Task Name Duration Start Finish
Purchase of big data analytics for
Intelligent Information Inc.
133 days Wed 3/28/18 Fri 9/28/18
Build the big data analytics solution 49 days Wed 3/28/18 Mon 6/4/18
Building the project team 9 days Wed 3/28/18 Mon 4/9/18
Hiring of IT consultants 7 days Tue 4/10/18 Wed 4/18/18
Recruit the project team 9 days Thu 4/19/18 Tue 5/1/18
Train the project team 15 days Wed 5/2/18 Tue 5/22/18
Considering the maintenance cost for
ongoing software
9 days Wed 5/23/18 Mon 6/4/18
Milestone 1: Completion of building
phase
0 days Tue 5/22/18 Tue 5/22/18
Buy the big data analytics solution 39 days Tue 6/5/18 Fri 7/27/18
Trail a short list of the big data analytics
platforms
8 days Tue 6/5/18 Thu 6/14/18

14PROJECT PLAN
Selection of big data analytics platform 9 days Fri 6/15/18 Wed 6/27/18
Gain an agreement with the stakeholders
based on selected platform
5 days Thu 6/28/18 Wed 7/4/18
Negotiate with the vendor 8 days Thu 7/5/18 Mon 7/16/18
Gain access to the internal data sources 9 days Tue 7/17/18 Fri 7/27/18
Milestone 2: Completion of buying phase 0 days Mon 7/16/18 Mon 7/16/18
Implementation of the big data analytics
solution
42 days Mon 7/30/18 Tue 9/25/18
Implement based on business areas 6 days Mon 7/30/18 Mon 8/6/18
Measure of ROI and business client
satisfaction level
9 days Tue 8/7/18 Fri 8/17/18
Train the business users 10 days Mon 8/20/18 Fri 8/31/18
Transition of the system to production 9 days Mon 9/3/18 Thu 9/13/18
Identification of the projects to continue
with the program of big data analytics
8 days Fri 9/14/18 Tue 9/25/18
Milestone 3: Completion of
implementation phase
0 days Thu 9/13/18 Thu 9/13/18
Project closure phase 3 days Wed 9/26/18 Fri 9/28/18

15PROJECT PLAN
Sign off the project plan 2 days Wed 9/26/18 Thu 9/27/18
Final project plan document 1 day Fri 9/28/18 Fri 9/28/18
Milestone 4: Completion of project
closure phase
0 days Thu 9/27/18 Thu 9/27/18

16PROJECT PLAN
2. Gantt chart
Figure 2: Gantt chart
(Source: Created by author)