The intelligent information Inc. company had its branches in various countries having strength of 100000 working employees. The expansion of the enterprise in the international market increased pressure on managing big data of the organization. The firm should implements big data analytical tools for managing the big data of the enterprise for increasing the easy retrieval of information for increasing the capability of the business functional program. The big data analytics helps the organization to provide new opportunities for generating revenue for the organization. The organization can generate effective marketing schemes and policies, customer support service, increasing operational capabilities, gaining competitive advantage, and others with the use of big data analytics technology for storing the data in the database. .
The deployment of the big data analytics is the best solution for managing the big data of the enterprise. The Hadoop file structure should be installed in the cloud architecture of the enterprise for managing the big data and its retrieval. It is the cost effective technology. The map reduces policies and framework is used for managing the data on the Hadoop file structure. The decision making capabilities of the project owner can be explored with the fast retrieval of the information on their demand. The customer level of satisfaction can be effectively improved by increasing the productivity of the organization. In this paper, we are looking forward to develop the work breakdown structure for the implementation of the big data analytics in the working portal of the enterprise. We will also focus on the development of network diagram, milestone using SMART objective, resource table, budget table, RACI table, risk register table, and others. 2. Time Line Work Breakdown Structure
4. Milestone Using SMART criteria Milestone Milestone 1 Milestone 2 Milestone 3 Milestone 4 Milestone 5 Milestone 6 SMART OBJECTIV ES Signoff and approval on Plan finalization from the project stakeholder s Developme nt of project schedule Purchasin g of Big data analytics packages Completi on of System Testing System testing for project execution System testing for fraud detection system SPECIFIC (S) Key Deliverable s of the projects Consultatio n with Big Data experts Developme nt of the project charter Developme nt of the requiremen t specificatio n plan Developme nt of the project charter Developme nt of the project scope Requiremen t of project activities Synchroniza tion of the project activities with the business goals Requirem ent of the hardware Requirem ent of the software Requirem ent of Network Connecti vity Purchasin g process for hardware, software, and network connectiv Mapping of the requirem ent specificat ion plan with the expected outcome Linking of the platform to the sensor Controllin g of the sensors with the use of big data Analysis of the risks associate with the implementa tion of the fraud detection system Risks register table Finalizatio n of the plan ity equipmen t MEASURA BLE (M) Measuring the efficiency of the key deliverable s with the requiremen t specificatio n plan.
Analysis of the requiremen t specificatio n plan with the expected outcome of the project It should be measured on the basis of big data manageme nt system The effectivenes s of the project schedule can be measured with the effectivenes s of completing the project activities within the time and budget Analysis of the available hardware, software, and network connectiv ity Evaluatio n of the additional and new hardware, software, and network connectiv ity required Measurin g the expected outcome with the deployme nt of the test plan Execution of the big data managem ent Effectivene ss of the fraud detection system in analysing the presence of risks ATTAINAB LE.
(A) Requireme nt specificatio n plan for the hardware Requireme nt specificatio n plan of the required software Requireme nt specificatio n plan for network connectivit y Division of effective roles and responsibili ties according to the capabilities of the working Fixed duration of the activities Managin g supply and demand of the hardware, software, and network requirem ent Effective developm ent of the test plan Effectiven ess in managing the big data and control on the sensors Deploymen t of the fraud detection system employees REALISTIC The big data of the enterprise can be effectively and efficiently managed with the help of big data analytics Analysis of the activities duration in the real scenario for accomplishi ng the task within given time Prepurchasin g of the hardwre, software, and network equipmen t for managing supply of th resources according to the requirem ent raised by the project manager and big data expert Applied on the completio n of every milestone Managem ent of the big data with the use of big data analytics Minimise the risks associated with the big data analytics Proactive determinati on of the risks.
TIMEBOUNDED The time period required for completing the milestone is 2 days The time period required for completing the milestone is 2 Days The time period required for completin g the milestone is 10 days The time period required for completin g the milestone is 5 days The time period required for completin g the milestone is 5 days The time period required for completing the milestone is 5 days
5. Resource Table Resource Deliverables Project Manager Deliverables of the project manager are:
? Project Requirement Specification
? Project Schedule
? Quality management plan
? Scope Management plan
? Human Resource Management plan
? Selection of the required team members
? Division of roles and responsibilities
? Project Procurement plan for new hardware and software according to the deployment of big data analytics program in the business premises Vice President (Operations) Deliverables of the Vice President (Operations) are:
? Analysis of the project schedule
? Integration of the project activities
? Development of the business operational plan
? Aligning the project operational plan with the organization goal
? Controlling the project activities for the deployment of big data analytics
? Arrangements for the implementation of the big data analytics Vice President (Marketing) Deliverables of the Vice Presidents (Marketing) are:
? Development of the marketing plans
? Development of the big data analytical schedule
? Marketing operation for the sale of the business Project Risk Manager Deliverables of the project Risks Manager are
? Development of the risks identification plan
? Measuring risks impact and the occurrence of risks probability
? Development of the risks management plan
? Development of the risk mitigation strategies
? Countermeasures for minimizing the risks impact
? Analysis of the effectiveness of risks mitigation plan (Schwalbe, 2015) Project Sponsor Deliverables of the project sponsor are:
? Analysis of the project schedule
? Analysis of the final outcome of the project
? Analysis of the advantages of the project big data analytics
? Approval of the project
? Approving budget for the project
? Providing sufficient funds Steering Committee (CIO) Deliverables of CIO of the steering committee
? Development of the communication plan
? Managing communication with the external stakeholders
? Analysis of the project integration activities
? Development of the business operational plan
? Aligning the project operational plan with the organization goal
? Controlling the project activities for the deployment of big data analytics
? Arrangements for the implementation of the big data analytics Project Consultant Deliverables of Project Consultant are:
? Consultation provided to improve the performance of the project program
? Providing effective suggestions and recommendations program
? Selection of the required analytical tools Hardware Technical Manager Deliverables of the Hardware technical manager are:
? Analysis of the available hardware
? Requirement of new hardware
? Installation and implementation of the big data analytics in the business enterprise Expert of Big data analytics Deliverables of the experts of big data analytics
? Providing consultation to the hardware technical manager
? Installation and implementation of the big data analytics in the business enterprise Project Trainer Deliverables of the project trainer
? Providing training to the stakeholders and staff members for big data analytics
? Improving skills and expertise of the employees and staff members (Kerzner, and Kerzner, 2017 6.
Project Budget Activities Budget ($) Selection of the project manager 500 Project Requirement specification 1500 Appointment with the primary stakeholders 1500 Key Deliverables of the projects 500 Consultation with Big Data experts 10000 Plan Finalization 1200 Development of the project charter 1300 Development of the project scope 3400 Development of the project schedule 5600 Development of the project budget 1200 Division of roles and responsibilities to the stakeholders 3244 Development of stakeholder management plan 1233 Development of procurement plan 5433 Division of role 3456 Deployment of project team 6890 Purchase of necessary hardware 25000 Purchase of Necessary software 20000 Implementation of hardware and software 10000 Installation of big data platform 10000.
Purchase of Big data analytics package 10000 Installation of sales forecast features 1200 Development of the customer identification module 1344 Completion and Execution of System testing 1245 Linking of the platform to the sensor 1644 Controlling of the sensors with the use of big data 3455 System testing for project execution 2313 Development of the fraud detection system 12000 Installation of the fraud detection system 1200 System testing for fraud detection system 1200 Handover for operation 1000 Documentation of the project 1000 Total Cost 149557
8. Risks Register Table The big data analytics helps the organization to provide new opportunities for generating revenue for the organization. The organization can generate effective marketing schemes and policies, customer support service, increasing operational capabilities, gaining competitive advantage, and others with the use of big data analytics tools in the business premises. The risks associated with the deployment of the big data analytics for the management of big data of the enterprise are categorised into five major categorise which are operational risks, financial risks, security risks, technical risks, and communication risks (Marz and Warren, 2015. Risks Identification Categorisation of the risks Probability Description Ineffective Scope Operational Risks High Improper business Management plan operational plan which can results into project delay and overrunning of the costs (Monappa, 2017).
Overrunning of the budget Financial Risks Very high Improper management of the project schedule Hidden cost No Market analysis for fixing the costs with the resources (Mansfield community, 2013) Inclusion of viruses, malwares, and cyber attack Security risks High Modification in the data Manipulation of the information Improper deployment of big data analytics Technical risks Low Inefficiency in the management of the big data Ineffective communication plan Communication risks Medium Improper management of resources and communication between staff members Inefficiency in managing data Security risks High Ineffective management of data confidentiality and integrity and accuracy in the business process
9. Probability and Impact Matrix Risk severity is allocated in the following scale 4 = Very High 3 = High 2 = Medium 1 = Low Risks Likelihood is allocated in the following scale 4 = Very high 3 = High 2 = Medium 1 = Low Risk score is calculated with the addition of risks likelihood and risks severity. Risk Ranking is allocated in the following scale: 1 = Low 2 = Low 3 = Medium 4 = Medium 5 = High 6 = High 7 = Extreme 8 = Extreme Risks Identification Probability Risks Likelihood Risks Severity Risks Ranking Ineffective Scope Management plan High 3 3 High (6) Overrunning of the budget Very high 4 4 Extreme (8) Inclusion of High 3 3 High (6) viruses, malwares, and cyber attack Improper deployment of big data analytics Low 2 1 Low (3) Ineffective communication plan Medium 3 2 Medium (5) Inefficiency in managing data confidentiality and integrity High 3 4 Extreme (7)
10. Risks Mitigation Plan Risk Identification Risks Impact Ranking Risk Mitigation Plan and Countermeasures Responsible Authority Ineffective Scope Management plan Improper business operational plan which can results into project delay and overrunning of the costs. High (6) Identification of the project requirements (Lindh, 2013) Analysing the associated project activities Determining the project in-scope activities and project out-ofscope activities (Befeki, Epstein, Project Manager Yuthas, 2014) Completion of the scope management plan during the project charter Overrunning of the budget Improper management of the project schedule Hidden cost No Market analysis for fixing the costs with the resources Extreme (8) Preliminary marketing research on the cost and the market price of the hardware, software, and network connectivity (Jetter, 2013) Financial Manager Inclusion of viruses, malwares, and cyber attack Modification in the data Manipulation of the information High (6) Deployment of effective cyprtographic algorithms for securing the premises of the business with the inclusion of viruses, malwares, and cyber attack associated with the increasing big data of the Risk Manager enterprise Deployment of firewall.
mechanism for eliminating the unauthorised accessing of business operations, data, information, and processes Improper deployment of big data analytics Inefficiency in the management of the big data Low (3) Clear identification of the requirement specification plan Training and development program for the employees, staff members, and others Analysis of the scope statement with the requirement placed by the project owner (Acharjya, and Ahmed, 2016) IT consultant Ineffective communication plan Improper management of resources and communication between staff members Medium (5) Deployment of social media private networks for the effective communication and facilitating flow of information among external and internal users Project Manager Inefficiency in managing data confidentiality and integrity Ineffective management of data and accuracy in the business process Extreme (7) Storing the data in the cipher text structure by applying the encryption techniques on the big data Risk Manager 11.
Conclusion
It can be concluded that the proposed project should be completed within the budget of $ 150000 and period of seven months. The processing of the project will starts on commenced data of 28 May 2018 and handover for operation to the project owner and staff members on December 15, 2018. The development of the big data analytics helps in synchronising the activities aligned with the organization goal. The effective and efficient management of the big data helps in secure transmission of the data and information, managing confidentiality and accuracy of the process undertaken, and managing on-demand supply of information for improving the productivity and capability of the working employees and staff members. The proactive analysis of the risks helps in implementing the countermeasures and risks mitigation strategies before the occurrence of the risks.
12. References
Acharjya, D., and Ahmed, K. (2016). A survey on big data analytics: Challenges. 1st ed. [ebook]
Befeki, T., Epstein, M., Yuthas, K. (2014). Managing opportunities and risks. 1st ed.
Jetter, M. (2013). Technological innovation and its impact on business model, organization, and corporate culture. 1st ed.
. Kerzner, H. and Kerzner, H.R., 2017. Project management: a systems approach to planning, scheduling, and controlling. John Wiley & Sons. [Accessed 13 May, 2018] Lindh, C. (2013).
How does information technology impact on business relationships? The need for personal meetings. 1st ed.
Mansfield Community. (2013). Introduction to project management. 1st ed. [ebook]
Marz, N. and Warren, J., 2015. Big Data: Principles and best practices of scalable realtime data systems. Manning Publications Co.. [Accessed 13 May, 2018] Monnappa. (2017)
. Project scope management: What it is and why it is important. 1st ed. [ebook]
Oliveira, U., Espindola, L., and Marins, F. (2014). Analysis of supply chain risks management researches. 1st ed.
Schwalbe, K., 2015. Information technology project management. Cengage Learning. [Accessed 13 May, 2018]
Umachan, K., Soyata, T, Fung, H., and Jiang, B. (2017).
The opportunities, challenges, and risks of big data for official statistics. 1st ed.
Walker, A., 2015. Project management in construction. John Wiley & Sons. [Accessed 13 May, 2018]
Wamba, S.F., Akter, S., Edwards, A., Chopin, G. and Gnanzou, D., 2015. How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, pp.234-246.
Wang, Y., Kung, L. and Byrd, T.A., 2018. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, pp.3-13. [Accessed 13 May, 2018]
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