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Project Management: Big Data Implementation Project

   

Added on  2023-01-23

18 Pages4346 Words68 Views
Data Science and Big DataMaterials Science and EngineeringStatistics and ProbabilityDatabases
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Project Management
Big Data Implementation Project
4/25/2019
Project Management: Big Data Implementation Project_1

Project Plan
Table of Contents
Introduction...........................................................................................................................................2
Purpose..............................................................................................................................................2
Project Background...............................................................................................................................2
Risk Management Plan..........................................................................................................................2
Methodology & Approach.................................................................................................................2
Risk Register.....................................................................................................................................3
Risk Quadrant Analysis.....................................................................................................................4
Mitigation & Treatment Plan.............................................................................................................5
Quality Management Plan.....................................................................................................................7
Methodology.....................................................................................................................................7
Quality Metrics..................................................................................................................................7
Planned & Actual Project Schedule Value.....................................................................................7
Planned & Actual Project Cost Value............................................................................................8
Defect Density...............................................................................................................................8
Customer Satisfaction & Feedback................................................................................................8
Acceptance of Deliverables...........................................................................................................9
Procurement Management Plan.............................................................................................................9
Methodology.....................................................................................................................................9
Tools & Material to be procured......................................................................................................10
Contract Type..................................................................................................................................10
Procurement Method.......................................................................................................................10
Stakeholder Management Plan............................................................................................................11
Methodology...................................................................................................................................11
Stakeholder Map..............................................................................................................................11
Stakeholder Communication and Reporting....................................................................................13
Conflict Management Plan..............................................................................................................14
References...........................................................................................................................................15
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Project Management: Big Data Implementation Project_2

Project Plan
Introduction
Project Management is one of the necessary disciplines and every project now involves the
elements of project management to make sure that the project success is achieved. There are
various areas under project management that need to be synced with each other in order to
achieve the desired project outcomes.
Some of the significant areas under project management include risk management, quality
management, procurement management, and stakeholder management. The report includes
the planning and analysis of these areas for the Big Data implementation project in an
organization.
Purpose
The purpose of the report is to cover the project management guidelines for the areas as risk
management, quality management, procurement management, and stakeholder management.
Project Background
The project is being carried out for a medium-scale financial firm called FinManage
Corporations. The firm currently has its offices in 7 different locations and there are several
projects that run in parallel. There is good market reputation and extensive customer base that
the organization has established since its 9 years in the business.
The management of the data sets is one of the issues that have come up for the organization.
There are data storage issues and the problems of data loss that are witnessed. The
management of these issues and problems can be done by the implementation of Big Data
tools in the organization. Big Data is the technology that can manage huge clusters of data
(Daki, El Hannani, Aqqal, Haidine & Dahbi, 2017).
Risk Management Plan
There may be various risks that may emerge in the project. The management of these risks
will be done by using a defined methodology and a series of steps.
Methodology & Approach
The risk management methodology that will be used in the project will include five major
phases as risk identification, risk analysis, risk evaluation, risk treatment, and risk closure.
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Project Management: Big Data Implementation Project_3

Project Plan
In the first phase, the identification of the risks will be done by using some of the data
collection techniques. The sources of data will be the employees and management of the
organization, existing systems, historical data, and market information. The use of data
gathering techniques as surveys and observations will be done to identify the risks that may
come up in the process (Wateridge, 2011).
The second phase will be risk analysis. The use of qualitative analysis technique will be done
to identify the risk impact and probability levels and analyse the risks to determine their
severity and priority levels. The third step will be the evaluation step in which the risk scores
will be allotted and the risks will be classified as acceptable or non-acceptable.
The risks identified as non-acceptable in the evaluation will be needed to be treated. The
application of the treatment strategies as share, transfer, avoid, or mitigate will be applied on
the risks.
The completion of the risk treatment will be determined and if the risk treatment is
completed, the risk will be sent for risk closure.
Risk Register
There are various risks identified for the Big Data Implementation project. The risk register
for these issues is prepared and included in the table below.
Risk
ID
Name Description Probability Impact
1 Technical
Failure
The Big Data Implementation will be
done for all the seven locations of the
organization. There may be technical
errors and gaps that may be
encountered.
6 8
2 Network
Compatibility
Issues
The existing network architecture
and topology may not be sufficient
for the required implementation.
7 8
3 Security and
privacy attacks
There will be migration of the legacy
data needed for the implementation
project and the data sets will be fed
in the Big Data tool. There may be
8 9
3
Project Management: Big Data Implementation Project_4

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