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Information Technology Management - Assignment Example

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Summary
2.2.3 Programmer52.3 conflict resolution52.4 Gantt Chart52.5 Budget63.ANALYSIS PHASE 73.1Data collection methodology73.1.1Secondary sources73.1.2Primary source73.2 Use case7References7Appendices8Appendix 1: questionnaire8INTRODUCTION1.1…
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2.2.3 Programmer5

2.3 conflict resolution5

2.4 Gantt Chart5

2.5 Budget6

3.ANALYSIS PHASE 7

3.1Data collection methodology7

3.1.1Secondary sources7

3.1.2Primary source7

3.2 Use case7

References7

Appendices8

Appendix 1: questionnaire8

  • INTRODUCTION
    • 1.1 Background

Cuzo International Restaurants and Lodging groups is one of the leading restaurant companies, with more than 1000 restaurants spread over 20 countries in the world and boasts of being among the leading employees with over fifty thousand employees. They receive more than five hundred thousand guests every day from different parts of the world.

Apart from offering food services the hotel have specialist for event planners, such as wedding planning, sport planning. They also have cuisines which are customized to suit all the multinational customers.

They further, they offer accommodation services to customer in their various restaurants. The rooms at the hotels are tastefully decorated and all have air conditioning, and hired staffs have vast experience in customer services and unwavering commitment to make sure guests have exceptional services, which has made the accommodation facilities busy and full at all times.

    • 1.2 Room Reservation

The sustainable development of an increasing service-based economy requires procedures for the efficient allocation, to the various existing user classes, of non-storable services infrastructures with essentially fixed costs and whose value potential is dilapidated if not utilized. For instances in room reservation, strategic decisions have to be made regarding the distribution of the hotel rooms in single, double, suites etc. secondly, operational decisions will be taken, such as customers to whom those infrastructures will be assigned.

    • 1.3 Booking scenario and problem statement

The customer can book room via a telephone, agent or can personally walk to the hotel and make reservation. Customers can book, cancel, check-in and check-out of a room.

Currently, the reservation process is cumbersome and laborious and can only be handled by trained employees, e.g. assistants, who had to administrate self-made spreadsheets or databases. If another employee or manager wanted to book a meeting room, he was forced to contact such a specialist before finalizing the meeting request on his own, thus loosing valuable time. This often causes high administrative efforts, especially when there is no possibility to search for specific room equipment or to order additional services. The lack of cost awareness due to missing visibility of involved costs generates waste of money and reduced profitability due to inefficient room utilization.

With the current booking system there is no better way of forecasting demand, estimating revenue and cost estimation.

    • 1.4 Decision support system

The proposed decision support systems (DSS) would be implemented by using the electronic spread sheet. The clerk enters the data of the available rooms such as the capacity, cost, and facilities in the room among other details through a form. The manager can assess the data in the form of tabular data, graphs and can also manipulate the data by use of mathematical and statistical formulae to be able to deduce and discover hidden relationships.

      • 1.4.1 Benefits of the proposed DSS

Accurate forecasting is one of the ways to increase the predictability of duration of use. To help increase the predictability of duration, hotels forecast demand by length of stay for different rate categories. The accuracy of the forecast is essential because the forecast is the main driver of the pricing/room allocation decisions; inaccurate forecasts or predictions will diminish the hotel's revenues and profit margin. By use of decision support systems the manager can predict the occupancy level, demand and estimated revenue to be generated.

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