Project Plan For Implementation Of Big Data
- December 28, 2023/ Uncategorized
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.
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 big data |
There is 100% increase into the implementation work of big data into the organization. |
It increases productivity of the company by 9% by implementing of big data. |
It takes of 76 days to complete the planning phase. |
Project specifications phase |
It is required to have big data implementation and installation process. |
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. |
Implementation phase |
There are modifications into the implementation phase and verification of the equipments. |
There are establishment of network and IT infrastructure. |
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 implementation 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 the business requirements. |
There are 99% successes into implementation of the big data into the organization. |
It allows for enhancement of internal as well as external operational activities to enhance the organization’s performance. |
It takes of 52 days to complete the testing phase. |
Risk management phase |
Identification and mitigation of project risks |
Each of the business objectives are delivered to higher quality along with better standard. |
There is 100% prevention of the risks while implementation 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 implementation of the big data analytic package as per requirements of the organization. |
It takes of 29 days to complete closure phase. |
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 |
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 Sponsors |
$19,200.00 |
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 |
|
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 Department, Risk Manager |
$49,440.00 |
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 |
Roles |
VP of Operation |
VP of Marketing |
Risk Manager |
Project Sponsor |
IS Project Manager |
Customers |
Big Data Vendor |
IT Department |
Employees |
Monitor and guide company’s operations |
R |
– |
C |
I |
R |
– |
– |
– |
– |
Implementation 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 |
– |
– |
Establishment of network and IT infrastructure |
R |
– |
R |
– |
– |
– |
– |
R |
– |
Accomplish of operational 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 |
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.
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