Information System Project Management: Big Data Implementation

This project report outlines a comprehensive plan for implementing big data analytics within Intelligent Information Inc. The project encompasses various phases, including planning, project specifications, implementation, testing, risk management, and closure. It provides a detailed Gantt chart, network diagram, and six milestones defined using the SMART criteria. The report also includes a resource table, project budget, RACI table, six identified risks with a risk register, and a probability/impact matrix for the risks. The project aims to enhance both internal and external operations and improve the organization's performance through the strategic integration of big data, focusing on consultant hiring to aid in the selection of big data analytic packages. The budget is meticulously broken down across different tasks and resources, and risk management strategies are proposed to mitigate potential challenges, ensuring a structured approach to project execution and successful big data implementation.

Running head: INFORMATION SYSTEM PROJECT MANAGEMENT
Information System Project Management
Name of the Student:
Name of the University:

1INFORMATION SYSTEM PROJECT MANAGEMENT
Table of Contents
Introduction......................................................................................................................................2
1. Gantt chart...................................................................................................................................3
2. Network diagram.........................................................................................................................4
3. Six milestones using SMART criteria.........................................................................................4
4. Resource table..............................................................................................................................7
5. Project budget..............................................................................................................................7
6. RACI table.................................................................................................................................11
7. Six risks and risk register...........................................................................................................13
8. Probability/impact matrix for the risks......................................................................................16
Conclusion.....................................................................................................................................16
References......................................................................................................................................17
Bibliography..................................................................................................................................18

2INFORMATION SYSTEM PROJECT MANAGEMENT
Introduction
The project plan is based on aspects related to implementation of big data into existing
infrastructure of the Intelligent Information Inc. The main purpose of this project is to hire of
consultants to support selection of analytic packages of big data. The report analyzes the
schedule of the project, milestones, resource plan, and budget plan and identifies possible risks
into the implementation of big data. Implementation of big data enhances internal as well as
external operations to ensure about the performance of organization.

3INFORMATION SYSTEM PROJECT MANAGEMENT
1. Gantt chart
Figure 1: Gantt chart
(Source: Created by author)

4INFORMATION SYSTEM PROJECT MANAGEMENT

5INFORMATION SYSTEM PROJECT MANAGEMENT
2. Network diagram
Figure 2: Network Diagram
(Source: Created by author)
3. Six milestones using SMART criteria
Milestone
activities
Specific
(S)
Measurable
(M)
Achievable
(A)
Relevant
(R)
Time bound
(T)
Planning
phase
The goal of this
phase is to define the
business case and
technical
specifications of big
data implementation.
Hire of
consultants to
support
selection of
analytic
packages of
There is 100%
increase into
the
implementatio
n work of big
data into the
It increases
productivity
of the
company by
9% by
implementing
It takes of 76
days to
complete the
planning
phase.

6INFORMATION SYSTEM PROJECT MANAGEMENT
big data organization. of big data.
Project
specificatio
ns phase
It is required to have
big data
implementation and
installation process1.
There is
enhancement
of the loyal
customers to
implement of
Big Data
analytics
within the IT
infrastructure
of the
company.
Due to
installation of
big data, the
profitability
of Intelligent
Information
Inc. is raised
by 10%
within 2
months.
There is
providing of
analytic
package
which is
suitable for
needs as well
as
requirements
of
organization.
It takes of 38
days to
complete the
project
specifications
phase.
Implement
ation phase
There are
modifications into
the implementation
phase and
verification of the
equipments.
There are
establishment
of network and
IT
infrastructure2.
There is
achievement
of 20% of the
organizational
goals
accomplished
by the
organization.
There is
providing of
analytic
package
which is
suitable for
needs as well
as
requirements
of
organization.
It takes of 52
days to
complete the
implementatio
n phase.
Testing
phase
There is testing of
the plan and review
of the project plan.
The proposed
big data
analytic system
is properly
tested ad per
There are
99%
successes into
implementatio
n of the big
It allows for
enhancement
of internal as
well as
external
It takes of 52
days to
complete the
testing phase.
1 Robert Joslin and Ralf Müller, 'Relationships Between A Project Management Methodology And Project Success
In Different Project Governance Contexts' (2015) 33 International Journal of Project Management.
2 Henry A. Hornstein, 'The Integration Of Project Management And Organizational Change Management Is Now A
Necessity' (2015) 33 International Journal of Project Management.

7INFORMATION SYSTEM PROJECT MANAGEMENT
the business
requirements.
data into the
organization.
operational
activities to
enhance the
organization’s
performance.
Risk
manageme
nt phase
Identification and
mitigation of project
risks
Each of the
business
objectives are
delivered to
higher quality
along with
better
standard3.
There is 100%
prevention of
the risks while
implementatio
n of system is
done.
The risks are
mitigated
properly by
assessment of
risk
management
plan.
It takes of 39
days to
complete risk
management
phase.
Closure
phase
There is evaluation
of project success
and final review.
All the project
phases are
properly
completed on
time.
There is 100%
completion of
each of the
tasks after
starting to
work on other
tasks.
There is
suitable
implementatio
n of the big
data analytic
package as
per
requirements
of the
organization4.
It takes of 29
days to
complete
closure phase.
3 Ofer Zwikael, 'International Journal Of Project Management Special Issue On “Project Benefit Management”'
(2016) 34 International Journal of Project Management.
4 Knut Samset and Gro Holst Volden, 'Front-End Definition Of Projects: Ten Paradoxes And Some Reflections
Regarding Project Management And Project Governance' (2016) 34 International Journal of Project Management.

8INFORMATION SYSTEM PROJECT MANAGEMENT
4. Resource table
Resource Name Type Initials Max. Units Std. Rate
VP of operation Work V 100% $500.00/hr
VP of Marketing Work V 100% $550.00/hr
Risk Manager Work R 100% $390.00/hr
Project Sponsors Work P 100% $400.00/hr
IS Project Manager Work I 100% $450.00/hr
Customers Work C 100% $450.00/hr
Big Data Vendor Work B 100% $400.00/hr
IT Department Work I 100% $400.00/hr
Employees Work E 100% $400.00/hr
5. Project budget
Task Name Duration Resource Names Cost
Implement the Big Data within the
Intelligent Information Inc. 133 days $1,500,000.00
Planning phase 76 days $431,120.00
Define the business case 5 days
IS Project Manager, IT
Department, Project
Sponsors
$50,000.00
Define the business objectives 6 days IS Project Manager, Project $19,200.00

9INFORMATION SYSTEM PROJECT MANAGEMENT
Sponsors
Identify the project stakeholders 8 days IS Project Manager, Risk
Manager $26,880.00
Define the technical
requirements 27 days $270,000.00
Hardware requirements 15 days
Big Data Vendor, IS
Project Manager, IT
Department
$150,000.00
Software requirements 12 days Big Data Vendor, IS Project
Manager, IT Department $120,000.00
Create of business value
assessment 8 days Customers, IS Project
Manager $65,040.00
Milestone 1: Completion of
planning phase 0 days $0.00
Project specifications phase 38 days $140,400.00
Improvement of big data system 15 days
Big Data Vendor, IS Project
Manager, IT Department,
VP of operation
$52,000.00
Improvement in installation
process 12 days IS Project Manager, IT
Department $40,000.00
Understand the business
requirements 11 days IS Project Manager, IT
Department $48,400.00
Milestone 2: Completion of
project specifications phase 0 days $0.00

10INFORMATION SYSTEM PROJECT MANAGEMENT
Implementation phase 52 days $168,400.00
Start to implement as per business
goals 14 days IS Project Manager, IT
Department $46,000.00
Modify the implementation stage 17 days IS Project Manager, IT
Department $69,600.00
Verify the equipments required to
implement big data 12 days Big Data Vendor, IS Project
Manager $52,800.00
Milestone 3: Completion of
implementation phase 0 days $0.00
Testing phase 52 days $330,400.00
Start testing 14 days
IS Project Manager, IT
Department, VP of
Marketing, VP of operation
$186,800.00
Report on testing of plan 8 days IS Project Manager, IT
Department $47,200.00
Review the test plan 12 days IS Project Manager, IT
Department $38,400.00
Analyze test results 14 days Employees, IS Project
Manager, IT Department $58,000.00
Milestone 4: Completion of
testing phase 0 days $0.00
Risk management phase 39 days $146,400.00
Identify the risks 7 days IS Project Manager, IT $49,440.00

11INFORMATION SYSTEM PROJECT MANAGEMENT
Department, Risk Manager
Address risks to manager 12 days IT Department, Risk
Manager $37,920.00
Mitigate the project risks 9 days IS Project Manager, Risk
Manager $38,880.00
Risk register 5 days IS Project Manager, Risk
Manager $20,160.00
Milestone 5: Completion of risk
management plan 0 days $0.00
Closure phase 29 days $283,280.00
Evaluate project success 9 days IS Project Manager, VP of
Marketing, VP of operation $108,000.00
Final review 11 days
IS Project Manager, Project
Sponsors, VP of Marketing,
VP of operation
$106,400.00
Sign off the project documents 6 days
Customers, IS Project
Manager, Project Sponsors,
Risk Manager, VP of
Marketing, VP of operation
$68,880.00
Milestone 6: Completion of
closure phase 0 days $0.00

12INFORMATION SYSTEM PROJECT MANAGEMENT
6. RACI table
Roles VP of
Operat
ion
VP of
Marke
ting
Risk
Mana
ger
Proje
ct
Spon
sor
IS
Proje
ct
Mana
ger
Custo
mers
Big
Data
Ven
dor
IT
Depart
ment
Emplo
yees
Monitor
and guide
company's
operations
R - C I R - - - -
Implement
ation of
big data
R A I R R - - - -
Analyze
the market
C R C I - - - I I
Identify
the risks
and threats
- C R - R R - - -
Analyzing
the risks
- - R C I R I C I
Collect
funds for
project
- - I R I R - - -
Execution
of the
project
C - - - R R - I I
Deliver
the
constraints
of project
I I I R R - C I I
Consume
the
products
and
services
- - - R C R R C I
Provide
analytic
package
R I R - - - R - -

13INFORMATION SYSTEM PROJECT MANAGEMENT
Establish
ment of
network
and IT
infrastruct
ure
R - R - - - - R -
Accomplis
h of
operationa
l activities
R A C - I R I C R
Provide
high
quality
services
and policy
complies
R - R I C - R I R
Provide
quality
services
R - - C I - R A -
R- Responsible
A- Accountable
C- Consulted
I- Informed

14INFORMATION SYSTEM PROJECT MANAGEMENT
7. Six risks and risk register
Ris
k
ID
Risk
Description
Probabilit
y
Impact Impac
t
Score
Risk
Level
Current
Controls
Strateg
y
Risk
Treatment/
Response
$Cos
t
Future
Controls
Probabilit
y
Impact Impac
t
Score
Risk
Level
Risk
Ratin
g
Responsibili
ty
R1 The
implementat
ed big data
system is not
functioning
properly due
to system
failure.
Likely Extreme 5 High None Mitigat
e
The big data
system should
be properly
implemented
and
maintained on
time.
$200 Weekly
meetings
Unlikely Moderat
e
3 Mediu
m
1.2 IS Project
Manager
R2 Due to lack
of project
resources,
the system is
not handled
properly and
operational
risks are
caused5.
Moderate Moderat
e
3 Mediu
m
Proper
resource
plan
Mitigat
e
There are hire
of more
experts for
implementati
on of big data
system in the
organization.
$170 Weekly
meeting
Moderate Minor 2 Mediu
m
0.8 IS Project
Manager
R3 Due to lack
of project
funds, there
are risks of
budget risks.
Very
likely
Moderat
e
3 High Proper
scheduling
Mitigat
e
There is
required to
perform
budget
analysis
$150 Proper
scheduling
Unlikely Minor 2 Low 0.6 Project
Sponsor
5 Carolyn Kousky and Howard Kunreuther, 'Risk Management Roles Of The Public And Private Sector' (2018) 21 Risk Management and Insurance Review.

15INFORMATION SYSTEM PROJECT MANAGEMENT
based on
project plan.
R4 Improper
scheduling of
the project
lan causes of
schedule
risks.
Unlikely Minor 2 Low Proper
budget
plan
Mitigat
e
All the
project tasks
are to be
allocated to
team
members
based on
required skills
needed to
implement
the big data.
$180 Budget
estimation
Rare Trivial 1 Low 0.35 IS Project
Manager
R5 The system
is not
performing
up to the
business
requirements
.
Likely Moderat
e
3 Mediu
m
Performan
ce
manageme
nt
Mitigat
e
There is
proper
management
of the
performance
of the
proposed
system6.
$90 Performanc
e analysis
Moderate Minor 2 Mediu
m
0.9 IS Project
Manager
R6 There is
improper
design of the
big data
system
which causes
delay into
Moderate Moderat
e
3 Mediu
m
None Mitigat
e
There is
required of
proper design
of the big
data as per
the blueprint
provided by
$150 Proper
system
design
Unlikely Minor 2 Low 0.14 IS Project
Manager
6 Simon N Whitney, 'A Fern In Amber: Risk Management In Research With Humans' (2015) 17 Risk Management.

16INFORMATION SYSTEM PROJECT MANAGEMENT
entire project
processes7.
the IT project
manager.
7 Åsa Boholm and Madeleine Prutzer, 'Experts’ Understandings Of Drinking Water Risk Management In A Climate Change Scenario' (2017) 16 Climate Risk Management.

17INFORMATION SYSTEM PROJECT MANAGEMENT
8. Probability/impact matrix for the risks
Impact
Trivial
(1)
Minor
(2)
Moderate
(3)
Major
(4)
Extreme
(5)
Probability
Rare
(1)
Unlikely
(2)
Moderate
(3)
Likely
(4)
Very likely
(5)
Green- Low risk level
Orange- Medium risk level
Red- High risk level
Conclusion
It is concluded that the project is based on implementation of the big data analytics into
the IT infrastructure of the Intelligent Information Inc. so that the project is used to hire of
consultant will support selection of the analytic packages of Big Data. The project work is being
delivered with expected schedule as well as budget. The purpose of this study is to enhance the
loyal customers for reduction of any errors. The system allowed enhancement into internal as
well as external operational activities to ensure that performance of organization is enhanced.
There are requirement of internal needs for the founding of both network as well as IT
infrastructure.

18INFORMATION SYSTEM PROJECT MANAGEMENT
References
Boholm ÅM Prutzer, 'Experts’ Understandings Of Drinking Water Risk Management In A
Climate Change Scenario' (2017) 16 Climate Risk Management
Hornstein H, 'The Integration Of Project Management And Organizational Change Management
Is Now A Necessity' (2015) 33 International Journal of Project Management
Joslin R Müller, 'Relationships Between A Project Management Methodology And Project
Success In Different Project Governance Contexts' (2015) 33 International Journal of Project
Management
Kousky CH Kunreuther, 'Risk Management Roles Of The Public And Private Sector' (2018) 21
Risk Management and Insurance Review
Samset KG Volden, 'Front-End Definition Of Projects: Ten Paradoxes And Some Reflections
Regarding Project Management And Project Governance' (2016) 34 International Journal of
Project Management
Whitney S, 'A Fern In Amber: Risk Management In Research With Humans' (2015) 17 Risk
Management
Zwikael O, 'International Journal Of Project Management Special Issue On “Project Benefit
Management”' (2016) 34 International Journal of Project Management

19INFORMATION SYSTEM PROJECT MANAGEMENT
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(2016) 34 International Journal of Project Management