Project Planning Report For Intelligent Information Inc

Gantt chart

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

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.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

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