Discuss about the Cloud Project Management in Sentosa.
Risk |
Impact |
Solutions |
Different market for local and foreign people. |
Medium |
1. Two separate options will be given at the time of buying packages. 2. The tourists will be making bookings as per their need. 3. The foreigners will be receiving discount on packages of staying on the island. 4. The locals will receive discounts according to the amount of attractions they visit. 5. Terms and conditions will be applied to the discounts. 6. The amount of purchase of services will be stored in the cloud database against individual employees (Marosi, Kovacs and Kacsuk 2013). 7. Each of the counters can access the cloud database and apply discount as per the information. |
Difficulty in terms of navigation at Santosa |
High |
1. The system will be consisting of a map which will provide the option of navigating the local areas. 2. Direct links will be provided to redirect to the most popular regions. 3. The cloud will store the name of the places that the user has checked in the cloud (Dinh et al. 2013). 4. The promotion will be done regarding the places that the user has not seen. 5. As the clod based database will hold all the data and provide it at any time, the information gathered from counter will be used to analyze the most checked places by individual user (Xu 2012). 6. Special maps of the distinct regions will be provided to the user through the system. |
Data harnessing |
High |
1. Architects, system administrators and developers for both the Cassandra and Hadoop will be hired (Dede et al. 2013). 2. Data clusters will be developed, tested and integrated. 3. Genuine value can be gotten from top of the line investigation that can be performed on the expanding volumes, speed and assortment of information that associations are producing - likewise alluded to as large information examination. 4. The way that most fleets consolidate no less than two distinct brands of trucks can be utilized as an information advantage. With one dashboard, it's conceivable to stack the data of the distinctive sorts to think about their execution on the same course and discover which one is the most proficient. |
Highly competitive and price sensitive market. |
Medium |
1. The entire business will be transformed to the internet. 2. The online information access characteristics will facilitate the business. 3. The cloud system will manage the database automatically (Chung, Jeon and Seo 2014). 4. As the cloud can provide the real time data to the end user, the management will get proper information of the market at all the time. 5. The real time and accurate information gathering will assist the management to predict the future market situations. |
Classification of attractions |
Low |
1. The cloud system will be consisting of an option of selecting attractions separately at the time of booking. 2. As cloud system will decrease the cost of operations the charges on the attractions, owned by Sentosa will be minimized. 3. The system of the other attractions will be connected to the system of Sentosa. 4. Through cloud system the information of booking attractions will be transferred to every counter and other attraction owner. 5. Clash in booking will be reduced to almost zero percent through this information sharing. |
No connection between the ticketing system and membership database |
High |
1. As all the databases will be associated with the cloud system, the databases will be lined with all the required units of the system. 2. The integration point of database with the cloud system will be managed very carefully. 3. The real-time information will be provided to the ticketing system so that the management can know the present record of the guests (Matthews et al. 2015). 4. The purchase points which are on Sentosa and on main land will be connected to each other through the centralized system. 5. Update of data occurred in any point will result into the update of the database. 6. Both the database will be separate and will be connected in the cloud database architecture. |
Play pass related issues |
Medium |
1. The guests will receive will individual identity number. 2. The numbers will be different for foreigners and locals. 3. The cloud system will automatically divide the activities of the two types of guests (Rittinghouse and Ransome 2016). 4. The managers will receive information of the analysis instantly. 4. The same process will be carried out for distinguishing the activities of the Islander member. |
Ticketing database and database related issues |
High |
1. As the database will be connected to the cloud and maintained by it any initiation of process will result in modification of database. 2. For eliminating the duplication issue, master data management will be incorporated in the cloud system (Heikkinen and Pekkola 2013). 3. To make sure that the transactions get completed every time the system will incorporate some protocols that will check the transaction process several times. |
Discounts |
Low |
1. The system will store the id of the individual guests (Wang et al. 2012). 2. The same id will be used every time the users access the services of Sentosa. 3. Through this the total amount of access to the service by the user can be calculated. 4. The cloud will store all the information regarding this activity. |
No fresh model |
High |
1. The systems will be developed in units and will be deployed in cloud. 2. The fresh unit will be integrated with the existing one at first then the whole unit will exchange with the previously deployed model. (Rittinghouse and Ransome 2016). 3. This process will be carried out until the system controls all the business aspects of Sentosa. |
Figure 1: Organizational Structure
(Source: Sentosa.gov.sg, 2016)
Person |
Responsibility |
Moses Lee |
Handling the overall activates and outcome of the project. |
LOW Tien Sio |
Supervising the projects partial aspects such as requirement providing. |
CHIN Sak Hin |
Estimating budget and profit from the project. |
Jacqueline TAN Yi-Ping |
Supervising the property related requirement to the project. |
Theresa LOW |
Bounding the scope of the project so that overflow of the allowed fund does not happen. |
EU Kwang Chin |
Supervising the functionality and the efficiency of the system. |
LEE Siyou Kim |
Maintaining the activities of the system. |
Catherine CHEW, Suzanne HO, Andy JOHNSTON |
Providing the basic functional requirements of the system. |
The individual employee of the project will be responsible for documenting their work on daily basis and their progress report will be shared to the project manager. The project leader will send the complete development of every day to the owner of the project (Chomal and Saini 2013). The functionalities of the system are shared with the marketing and sales department.
Tracking Activity |
Suggested frequency |
Automated tools |
Remarks |
Modified project landmark schedule |
Monthly |
MS project |
1.task completion date 2. GANTT chart 3. chart of the previous month. |
Modified worked product recognition |
Monthly |
Automated project database |
Updates to the database manager. |
Modified estimates at the end |
Bi-weekly |
MS project |
Integrate project cost to date |
Modified details of the financial position |
Quarterly |
MS word |
1. Labor hours expended vs. labor hours awarded. 2. Dollars expended vs. dollars awarded |
Modified staffing outline |
Monthly |
MS Project |
|
Modified resource loading |
Monthly |
Excel |
Validate requirement in terms of resource. |
Modified risk identification |
As needed |
1. MS word 2. Automated project database. |
Modified risk matrix |
Modified work packages |
As needed |
1. MS word 2. Automated project database. |
1. Modified control list regarding details. 2. Contact update. |
Modified project need |
As needed |
1. MS word 2. Automated project database. |
As per the discussion in the planning phase. |
Table 1: Project Monitoring Matrix
(Source: Kim et al. 2013)
Risk Event |
Probability (1=highest) |
Impact |
Risk Score |
Mitigation Plan |
Different market for local and foreign people. |
1 |
Medium |
High |
The integration of listing such as foreigner and local in the website. |
Difficulty in terms of navigation at Santosa |
1 |
High |
High |
The integration of map of Santosa. |
Data harnessing |
4 |
High |
Medium |
Hiring administrators and specialists. |
Highly competitive and price sensitive market. |
2 |
Medium |
Transformation of business into internet. |
|
Classification of attractions |
1 |
Low |
Medium |
Selection of attractions at the time of booking. |
No connection between the ticketing system and membership database |
3 |
High |
High |
Connecting the database with the centralized cloud system. |
Play pass related issues |
4 |
Medium |
Low |
Providing unique identity numbers at the fist time of registering. |
Ticketing database and database related issues |
2 |
High |
High |
Integration of master data management technique. |
Discounts |
4 |
Low |
Low |
The use of same identity number for individual client. |
No fresh model |
2 |
High |
High |
Implementation of the system in units and integrating the distinct units. |
References:
Chomal, V.S. and Saini, D.J.R., 2013. Finding Trend of Both Frequency and Type of Errors from Software Project Documentation. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 2(5).
Chung, B.D., Jeon, H. and Seo, K.K., 2014. A framework of cloud service quality evaluation system-focusing on security quality evaluation.International Journal of Software Engineering and its Applications, 8(4), pp.41-46.
Dede, E., Sendir, B., Kuzlu, P., Hartog, J. and Govindaraju, M., 2013. An Evaluation of Cassandra for Hadoop. IEEE CLOUD, 2013, pp.494-501.
Dinh, H.T., Lee, C., Niyato, D. and Wang, P., 2013. A survey of mobile cloud computing: architecture, applications, and approaches. Wireless communications and mobile computing, 13(18), pp.1587-1611.
Kim, M., Cui, Y., Han, S. and Lee, H., 2013. Towards efficient design and implementation of a Hadoop-based distributed video transcoding system in cloud computing environment. International Journal of Multimedia and Ubiquitous Engineering, 8(2), pp.213-224.
Marosi, A., Kovacs, J. and Kacsuk, P., 2013. Towards a volunteer cloud system. Future Generation Computer Systems, 29(6), pp.1442-1451.
Matthews, J., Love, P.E., Heinemann, S., Chandler, R., Rumsey, C. and Olatunj, O., 2015. Real time progress management: Re-engineering processes for cloud-based BIM in construction. Automation in Construction,58, pp.38-47.
Rittinghouse, J.W. and Ransome, J.F., 2016. Cloud computing: implementation, management, and security. CRC press.
Sentosa.gov.sg. (2016). Board & Senior Management : Sentosa Development Corporation. [online] Available at: https://www.sentosa.gov.sg/about-us/board-set/ [Accessed 9 Aug. 2016].
Vilminko-Heikkinen, R. and Pekkola, S., 2013. Establishing an organization's master data management function: a stepwise approach. InSystem Sciences (HICSS), 2013 46th Hawaii International Conference on(pp. 4719-4728). IEEE.
Wang, C., Wang, Q., Ren, K., Cao, N. and Lou, W., 2012. Toward secure and dependable storage services in cloud computing. IEEE transactions on Services Computing, 5(2), pp.220-232.
Xu, X., 2012. From cloud computing to cloud manufacturing. Robotics and computer-integrated manufacturing, 28(1), pp.75-86.
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