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ISY2004 Information Systems Project Management
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ISY2004 Information Systems Project Management
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Course Code: ISY2004
University: Australian Institute Of Higher Education
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Country: Australia
Question:
The project’s objective is to achieve higher customer service rates and the subsequent benefits from such, as increased retention from customers, higher customer conversion rates and improved internal process, all of which through the implementation of a new Customer Relationship Management (CRM) system, and its integrations with current system, processes and procedures. In order to accomplish that, the following items must be analysed:
Gantt Chart
Work breakdown Structure (WBS)
Critical Path and network diagram
Resource table
Budget
RACI table
Risk management
Answer:
Overview of the Project
The paper mainly focusses on the big data use within the organization in order to handle the operations of the business. The organization mainly utilizes big data analytics package that generally include various types of programs in order to understand the requirements of marketing, for identifying customers and for improving the service delivery to the various customers of the organization. It is found that the main goal of the organization is to gain agreement with the various stakeholders on utilizing big data with the various operations that is done in IoT sensors with the help of both prescriptive and predictive maintenance.
1. Gantt chart
Figure 1: Gantt chart
2. Network Diagram
A network diagram is one of the visual representation of network architecture that generally helps in mapping out the entire structure of the network with the help of variety of different types of symbols as well as line connections. It is considered as one of the ideal way of sharing layout of the entire network as the visual representation is quite easier for the users to understand when it is generally connected.
Figure 2: Network Diagram
3. Six milestones
The milestones of the project are listed in the table below:
Milestone
Completion date
Milestone 1: Completion of project initiation phase
Fri 01-06-18
Milestone 2: Completion of planning phase
Wed 04-07-18
Milestone 3: Completion of execution phase
Thu 20-09-18
Milestone 4:Completion of testing phase
Thu 04-10-18
Milestone 5:Completion of closure phase
Fri 12-10-18
4. Resource Table
The project of big data analytics package will generally be limited to demonstrate the entire human resource that is generally applied to the project with the various respective costs.
Resource Name
Type
Material Label
Initials
Group
Max. Units
Std. Rate
Project planner
Work
P
100%
$ 40.00/hr.
Project manager
Work
P
100%
$ 35.00/hr.
Financial manager
Work
F
100%
$ 30.00/hr.
Human resource manager
Work
H
100%
$ 30.00/hr.
Risk analyst
Work
R
100%
$ 35.00/hr.
Application engineer
Work
A
100%
$ 35.00/hr.
Database administrator
Work
D
100%
$ 35.00/hr.
IT analyst
Work
I
100%
$ 35.00/hr.
Technical engineer
Work
T
100%
$ 35.00/hr.
Tester
Work
T
100%
$ 30.00/hr.
Hardware cost
Material
H
$ 15,000.00
Software cost
Material
S
$ 15,000.00
Network
Material
N
$ 10,000.00
Additional cost
Material
A
$ 10,000.00
The table below reflects the how the human resources are utilized in each of the activities of the project for finishing the project within the expected budget and time.
Task Name
Duration
Start
Finish
Predecessors
Resource Names
Utilization of big data analytics package
110 days
Mon 14-05-18
Fri 12-10-18
Initiation phase
15 days
Mon 14-05-18
Fri 01-06-18
Developing business case
3 days
Mon 14-05-18
Wed 16-05-18
Project planner
Identifying the need of big data analysis package
4 days
Thu 17-05-18
Tue 22-05-18
2
Project planner
Undertaking feasibility study’
2 days
Wed 23-05-18
Thu 24-05-18
3
Financial manager, Human resource manager
Establishing project charter
3 days
Fri 25-05-18
Tue 29-05-18
4
Project manager
Appointing team members for the project
3 days
Wed 30-05-18
Fri 01-06-18
5
Human resource manager
Milestone 1: Completion of project initiation phase
0 days
Fri 01-06-18
Fri 01-06-18
6
Planning phase
23 days
Mon 04-06-18
Wed 04-07-18
Developing project plan
3 days
Mon 04-06-18
Wed 06-06-18
7
Project manager
Creating resource plan
4 days
Thu 07-06-18
Tue 12-06-18
9
Human resource manager
Developing financial plan
3 days
Wed 13-06-18
Fri 15-06-18
10
Financial manager
Developing quality plan
4 days
Mon 18-06-18
Thu 21-06-18
11
IT analyst
Creating risk management plan
3 days
Fri 22-06-18
Tue 26-06-18
12
Risk analyst
Developing acceptance plan
3 days
Wed 27-06-18
Fri 29-06-18
13
Project manager
Developing communication plan
3 days
Mon 02-07-18
Wed 04-07-18
14
Human resource manager, Project manager
Milestone 2: Completion of planning phase
0 days
Wed 04-07-18
Wed 04-07-18
15
Implementation phase
56 days
Thu 05-07-18
Thu 20-09-18
Gaining executive level sponsorship
6 days
Thu 05-07-18
Thu 12-07-18
16
Technical engineer
Re-build
7 days
Fri 13-07-18
Mon 23-07-18
18
Application engineer
Making value to the customer priority
8 days
Tue 24-07-18
Thu 02-08-18
19
Human resource manager
Data quality
7 days
Fri 03-08-18
Mon 13-08-18
20
IT analyst, Software cost[1]
Machine learning
6 days
Tue 14-08-18
Tue 21-08-18
21
Application engineer
High Volume processing
7 days
Wed 22-08-18
Thu 30-08-18
22
Technical engineer
Linking customer data to company process
7 days
Fri 31-08-18
Mon 10-09-18
23
Database administrator
Creating repeatable processes and actions paths
8 days
Tue 11-09-18
Thu 20-09-18
24
Application engineer, Hardware cost[1]
Milestone 3: Completion of execution phase
0 days
Thu 20-09-18
Thu 20-09-18
25
Testing phase
10 days
Fri 21-09-18
Thu 04-10-18
White box testing
2 days
Fri 21-09-18
Mon 24-09-18
26
Tester
Usability testing
3 days
Tue 25-09-18
Thu 27-09-18
28
Tester, Additional cost[1]
User acceptability testing
2 days
Fri 28-09-18
Mon 01-10-18
29
Tester
Black box testing
3 days
Tue 02-10-18
Thu 04-10-18
30
Tester
Milestone 4:Completion of testing phase
0 days
Thu 04-10-18
Thu 04-10-18
31
Closure phase
6 days
Fri 05-10-18
Fri 12-10-18
Post-project review
3 days
Fri 05-10-18
Tue 09-10-18
32
Project planner
Stakeholder sign off
2 days
Wed 10-10-18
Thu 11-10-18
34
Project manager
Documentation
1 day
Fri 12-10-18
Fri 12-10-18
35
Project manager, Project planner
Milestone 5:Completion of closure phase
0 days
Fri 12-10-18
Fri 12-10-18
36
5. Project budget
It is assumed that the budget that is generally needed in order to finish the project is around $71, 520. The table that is provided below reflects the cost that is associated with each of the activities of the project.
Task Name
Duration
Start
Finish
Predecessors
Resource Names
Cost
Utilization of big data analytics package
110 days
Mon 14-05-18
Fri 12-10-18
$ 71,520.00
Initiation phase
15 days
Mon 14-05-18
Fri 01-06-18
$ 4,760.00
Developing business case
3 days
Mon 14-05-18
Wed 16-05-18
Project planner
$ 960.00
Identifying the need of big data analysis package
4 days
Thu 17-05-18
Tue 22-05-18
2
Project planner
$ 1,280.00
Undertaking feasibility study’
2 days
Wed 23-05-18
Thu 24-05-18
3
Financial manager, Human resource manager
$ 960.00
Establishing project charter
3 days
Fri 25-05-18
Tue 29-05-18
4
Project manager
$ 840.00
Appointing team members for the project
3 days
Wed 30-05-18
Fri 01-06-18
5
Human resource manager
$ 720.00
Milestone 1: Completion of project initiation phase
0 days
Fri 01-06-18
Fri 01-06-18
6
$ 0.00
Planning phase
23 days
Mon 04-06-18
Wed 04-07-18
$ 6,880.00
Developing project plan
3 days
Mon 04-06-18
Wed 06-06-18
7
Project manager
$ 840.00
Creating resource plan
4 days
Thu 07-06-18
Tue 12-06-18
9
Human resource manager
$ 960.00
Developing financial plan
3 days
Wed 13-06-18
Fri 15-06-18
10
Financial manager
$ 720.00
Developing quality plan
4 days
Mon 18-06-18
Thu 21-06-18
11
IT analyst
$ 1,120.00
Creating risk management plan
3 days
Fri 22-06-18
Tue 26-06-18
12
Risk analyst
$ 840.00
Developing acceptance plan
3 days
Wed 27-06-18
Fri 29-06-18
13
Project manager
$ 840.00
Developing communication plan
3 days
Mon 02-07-18
Wed 04-07-18
14
Human resource manager, Project manager
$ 1,560.00
Milestone 2: Completion of planning phase
0 days
Wed 04-07-18
Wed 04-07-18
15
$ 0.00
Implementation phase
56 days
Thu 05-07-18
Thu 20-09-18
$ 45,360.00
Gaining executive level sponsorship
6 days
Thu 05-07-18
Thu 12-07-18
16
Technical engineer
$ 1,680.00
Re-build
7 days
Fri 13-07-18
Mon 23-07-18
18
Application engineer
$ 1,960.00
Making value to the customer priority
8 days
Tue 24-07-18
Thu 02-08-18
19
Human resource manager
$ 1,920.00
Data quality
7 days
Fri 03-08-18
Mon 13-08-18
20
IT analyst, Software cost[1]
$ 16,960.00
Machine learning
6 days
Tue 14-08-18
Tue 21-08-18
21
Application engineer
$ 1,680.00
High Volume processing
7 days
Wed 22-08-18
Thu 30-08-18
22
Technical engineer
$ 1,960.00
Linking customer data to company process
7 days
Fri 31-08-18
Mon 10-09-18
23
Database administrator
$ 1,960.00
Creating repeatable processes and actions paths
8 days
Tue 11-09-18
Thu 20-09-18
24
Application engineer, Hardware cost[1]
$ 17,240.00
Milestone 3: Completion of execution phase
0 days
Thu 20-09-18
Thu 20-09-18
25
$ 0.00
Testing phase
10 days
Fri 21-09-18
Thu 04-10-18
$ 12,400.00
White box testing
2 days
Fri 21-09-18
Mon 24-09-18
26
Tester
$ 480.00
Usability testing
3 days
Tue 25-09-18
Thu 27-09-18
28
Tester, Additional cost[1]
$ 10,720.00
User acceptability testing
2 days
Fri 28-09-18
Mon 01-10-18
29
Tester
$ 480.00
Black box testing
3 days
Tue 02-10-18
Thu 04-10-18
30
Tester
$ 720.00
Milestone 4:Completion of testing phase
0 days
Thu 04-10-18
Thu 04-10-18
31
$ 0.00
Closure phase
6 days
Fri 05-10-18
Fri 12-10-18
$ 2,120.00
Post-project review
3 days
Fri 05-10-18
Tue 09-10-18
32
Project planner
$ 960.00
Stakeholder sign off
2 days
Wed 10-10-18
Thu 11-10-18
34
Project manager
$ 560.00
Documentation
1 day
Fri 12-10-18
Fri 12-10-18
35
Project manager, Project planner
$ 600.00
Milestone 5:Completion of closure phase
0 days
Fri 12-10-18
Fri 12-10-18
36
$ 0.00
6. RACI table
A responsibility assignment matrix that is known as RACI matrix mainly elaborates the participation by different roles in order to finish the tasks as well as deliverables of the project. It is quite useful in clarifying roles as well as responsibilities in various cross-functional departments of the project and processes. RACI is an acronym that generally includes four key responsibilities, which are:
R- Responsibility
A- Accountable
C- Consulted
I-Informed
Project planner
Project manager
Financial manager
Human resource manager
Risk analyst
Application engineer
Database administrator
It analyst
Technical engineer
Tester
Developing business case
R, A
C, I
Identifying the need of big data analysis package
R, A
C, I
Undertaking feasibility study’
I
C
R, A
Establishing project charter
R,A
I,C
Developing project plan
R,A
I
Creating resource plan
C
I
R, A
Developing financial plan
C
I
R, A
Developing quality plan
I
C
R, A
Creating risk management plan
C
I
R, A
Developing acceptance plan
R, A
C
I
Developing communication plan
R, A
I
C
Gaining executive level sponsorship
C
I
R, A
Re-build
I
R, A
C
Making value to the customer priority
C
I
R, A
Data quality
C
I
R
A
Machine learning
A
C
R
I
High Volume processing
A
C
R
I
Linking customer data to company process
I
R, A
C
Creating repeatable processes and actions paths
A
C
R
I
White box testing
I
C
R, A
Usability testing
I
C
R, A
User acceptability testing
I
C
R, A
Black box testing
I
C
R, A
Post-project review
R, A
I, C
Stakeholder sign off
R, A
I, C
Documentation
R, A
I, C
7. Project Risk
Risk
Description
Impact
Probability
Responsible person
Mitigation strategy
Budget Shortfall
(Negative Risk)
If the project manager are unable to manage the budget of the project effectively then sometimes budget is misused on resources that are generally not required in the project. This generally causes shortage of budget for executing other activities of the project.
Extreme
Very Likely
Financial manager
It is identified that in order to resolve the issues that are related with budget shortfall, it is very much necessary to undertake earned value analysis so that the budget can be tracked for ensuring that the amount that is being invested is proper.
Schedule slippage
(Negative Risk)
If the schedule of the project is not tracked properly then there is high chance of schedule slippage. It is identified that due to schedule slippage, it is quite difficult to finish the project within the expected time and budget.
Extreme
Likely
Project manager
It is quite necessary to track the schedule of the project on a weekly basis in order to ensure that the schedule of the project is on the right track and it will be finished within the expected budget and time.
Inexperienced project manager
(Negative Risk)
If the project managers are not experienced then it will be quite difficult to them to manage all the activities as well as tasks of the project effectively within the assumed time and budget.
Major
Moderate
Human resource manager
It is quite necessary for the human resource manager to hire experienced project manager who have proper skills as well as knowledge related with the project so that the risks as well as challenges that are related with the project can be easily mitigated. In addition to this, proper experience of the project managers are helpful in managing work effectively for fining the project within the expected budget and time.
Scope creep
(Positive Risk)
If scope creep occur within the project then it will generally enhance both time and budget that is needed for finishing the project.
Moderate
Moderate
Project manager
It is identified that due to scope creep, the changes that are required for enhancing the quality of the project are done which generally create positive impact on the usability of the system that is related big data analytics package.
Improper management
(Negative Risk)
If the project managers are unable to manage the project then it will generally increases the time that is needed for finishing the project.
Moderate
Likely
Human resource manager
In order to resolve this issue, it is very much necessary to utilize proper management strategies within the project so that with the help of the strategies the project managers will be able to manage the project effectively that will be helpful in finishing the project on time.
Technical issues
(Negative Risk)
If the data of the customers are not properly linked due to some technical issue then there is high chance of data loss.
Moderate
Very likely
Technical engineer
In order to resolve this issue, it is very much necessary to check the package that is utilized so that the chances of technical risk occurrence can be minimized to some extent.
8. Impact/Probability Matrix
Probability and impact matrix utilizes combination of probability as well as impact scores of various risks and generally ranks them in order to handle the risks. It is identified that probability and impact matrix generally helps in determining which risks generally requires detailed risk response plans. In order to remain aware of the risks that may create negative impact on the project it us very much necessary to analyze the risks with the help of impact/probability matrix. It is considered as one of the useful framework that generally helps in deciding which risk can create much negative impact and which of them generally needs attention. It is found that in this project impact/probability matrix is utilized in order to identify the risks and challenges that are associated with the project, which generally requires attention for successfully mitigating them.
Low
Minor
Moderate
Major
Extreme
Rare
Unlikely
Moderate
Scope creep
Inexperienced project managers
Likely
Improper management
Schedule slippage
Very Likely
Technical issues
Budget shiortfall
Bibliography
Badewi, A., 2016. The impact of project management (PM) and benefits management (BM) practices on project success: Towards developing a project benefits governance framework. International Journal of Project Management, 34(4), pp.761-778.
Calvo-Mora, A., Navarro-García, A. and Periañez-Cristobal, R., 2015. Project to improve knowledge management and key business results through the EFQM excellence model. International Journal of Project Management, 33(8), pp.1638-1651.
Chih, Y.Y. and Zwikael, O., 2015. Project benefit management: A conceptual framework of target benefit formulation. International Journal of Project Management, 33(2), pp.352-362.
Conforto, E.C., Salum, F., Amaral, D.C., da Silva, S.L. and de Almeida, L.F.M., 2014. Can agile project management be adopted by industries other than software development?. Project Management Journal, 45(3), pp.21-34.
Costantino, F., Di Gravio, G. and Nonino, F., 2015. Project selection in project portfolio management: An artificial neural network model based on critical success factors. International Journal of Project Management, 33(8), pp.1744-1754.
Heldman, K., 2018. PMP: project management professional exam study guide. John Wiley & Sons.
Joslin, R. and Müller, R., 2015. Relationships between a project management methodology and project success in different project governance contexts. International Journal of Project Management, 33(6), pp.1377-1392.
Kucharska, W. and Kowalczyk, R., 2016. Trust, Collaborative Culture and Tacit Knowledge Sharing in Project Management–a Relationship Model.
Marcelino-Sádaba, S., Pérez-Ezcurdia, A., Lazcano, A.M.E. and Villanueva, P., 2014. Project risk management methodology for small firms. International journal of project management, 32(2), pp.327-340.
Marcelino-Sádaba, S., González-Jaen, L.F. and Pérez-Ezcurdia, A., 2015. Using project management as a way to sustainability. From a comprehensive review to a framework definition. Journal of cleaner production, 99, pp.1-16.
Mir, F.A. and Pinnington, A.H., 2014. Exploring the value of project management: linking project management performance and project success. International journal of project management, 32(2), pp.202-217.
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