Business Intelligence Implementation In Australia Tourism – Project Plan

Scope Description and Boundaries

Tourism Australia is the travel and tourism company located in Australia. They aim to provide the customers with the maximum comfort and satisfaction by implementing business intelligence. The business intelligence will aid decision making. In this way the travel and tourism industry will prosper, the hotels will get enriched, and they will gain the competitive advantage. They will be able to provide best facilities to the customers. The travellers can be able to know the best hotel rooms. They can know the list of best meals available. The travellers can be able to get the best places or destination in Australia. Tourism Australia will provide all the details of the project.

The primary objective of the project is to provide the customers with the convenience so that the tour companies and travellers both can be helpful. The project plan must be followed sequentially. The tourism companies must guide the travellers according to the project plan. The travellers must follow the project plan and the guidelines set by Australia Tourism and the travelling agencies.

Tourism Manager: Tourism manager is responsible for handling all the tourism-related aspects of the hotels. He is responsible for managing the customers,

BI Manager: He is responsible for decision making and enhances the travel agencies.

Team Leader: He will manage the project activities of the project

Staffs and the Employees: They will take care of the travellers

Business Analyst: He will handle all the business operations of Tourism Australia

Market Analyst: He will handle aspects related to national and international tourism market.

Task Name	Duration	Start	Finish	Cost
Tourism Australia	108 days	Fri 3/30/18	Tue 8/28/18	$42,112.00
BI implementation	23 days	Fri 3/30/18	Tue 5/1/18	$6,440.00
Capacity Planning	2 days	Fri 3/30/18	Mon 4/2/18	$560.00
Performance Evaluation	3 days	Tue 4/3/18	Thu 4/5/18	$840.00
Mode-Cost Analysis	2 days	Fri 4/6/18	Mon 4/9/18	$560.00
Scheduling and Routing	3 days	Tue 4/10/18	Thu 4/12/18	$840.00
Supplier Compliance Analysis	6 days	Fri 4/13/18	Fri 4/20/18	$1,680.00
Driver Performance Analysis	7 days	Mon 4/23/18	Tue 5/1/18	$1,960.00
Displaying the Information of the Destination and the Hotel	8 days	Wed 5/2/18	Fri 5/11/18	$3,648.00
Choosing the place of Interest	4 days	Wed 5/2/18	Mon 5/7/18	$1,824.00
Choosing the Modes of transport	4 days	Tue 5/8/18	Fri 5/11/18	$1,824.00
Arranging travel	9 days	Mon 5/14/18	Thu 5/24/18	$1,584.00
Airways list	5 days	Mon 5/14/18	Fri 5/18/18	$880.00
Planning holidays for the travel	4 days	Mon 5/21/18	Thu 5/24/18	$704.00
Planning hotels	16 days	Fri 5/25/18	Fri 6/15/18	$7,680.00
Destination Planning	6 days	Fri 5/25/18	Fri 6/1/18	$2,304.00
Check in and Check out	4 days	Mon 6/4/18	Thu 6/7/18	$1,536.00
Booking Rooms	6 days	Mon 6/4/18	Mon 6/11/18	$2,304.00
Planning Meals	4 days	Tue 6/12/18	Fri 6/15/18	$1,536.00
Customer Further Actions	23 days	Tue 6/12/18	Thu 7/12/18	$11,592.00
Customer arriving at the travel office	6 days	Tue 6/12/18	Tue 6/19/18	$3,024.00
Customer interacting with the employees	4 days	Wed 6/20/18	Mon 6/25/18	$2,016.00
Customer receiving the proposed journey plan	4 days	Tue 6/26/18	Fri 6/29/18	$2,016.00
Customer starting journey	5 days	Mon 7/2/18	Fri 7/6/18	$2,520.00
Customer fills feedback	4 days	Mon 7/9/18	Thu 7/12/18	$2,016.00
On-stage employee contact	12 days	Fri 7/13/18	Mon 7/30/18	$5,872.00
Employee understanding the travel needs and the budget	4 days	Fri 7/13/18	Wed 7/18/18	$1,120.00
Travel Agencies making changes in the plan based on the feedback given by the customers	3 days	Fri 7/13/18	Tue 7/17/18	$1,296.00
Customer making the payments	4 days	Thu 7/19/18	Tue 7/24/18	$1,728.00
customer enjoying the service	4 days	Wed 7/25/18	Mon 7/30/18	$1,728.00
Back-stage employee contact	16 days	Tue 7/31/18	Tue 8/21/18	$3,496.00
Employee designing the holidays keeping in mind all the requirements	5 days	Tue 7/31/18	Mon 8/6/18	$1,560.00
Employee implementing the changes and give final confirmation	5 days	Tue 8/7/18	Mon 8/13/18	$880.00
Employee confirming the payment	6 days	Tue 8/14/18	Tue 8/21/18	$1,056.00
Support Process	5 days	Wed 8/22/18	Tue 8/28/18	$1,800.00
Support staff interacting with the airlines and the hotels	5 days	Wed 8/22/18	Tue 8/28/18	$1,800.00

Tourism Australia aims to improvise the travel and tourism industry performance by implementing business intelligence. The BI will help the travel agencies in advanced decision making. It will help the travel agencies, and they can provide best services and support to the travellers. The customers must have to project plan to get the best assistance. They will get the get the best service, support and facilities from the travel agencies. The tourists will get the best hotel rooms, best meals, best tourists’ guide. They can get the route map so that they can be able to get to the best destination of Australia. The travelling agencies can gain the competitive advantage as well. The travel agencies with the aid of the business intelligence can provide the smart technical facilities to the customers so that they can get the maximum comfort. The smart hotels and the smart rooms will facilitate them.

Tourists from all over the world of ages 18 to 45 are the target audience.

Target Audience

Project Title: Business Intelligence Implementation in Australia Tourism

Project Summary: The project will improvise the travel and tourism industry. The travel industry will implement the business intelligence in the tourism sectors. The travel industry will be able to manage the operational costs, the travel and the tourism sectors will be able to manage the mode-cost analysis, transporter performance evaluation. The travel agencies with the aid of BI can get a competitive advantage. The BI will facilitate both the customers and the travel agencies.

Project Benefits for Customer/Sponsor: The .project will highly facilitate the travel agencies. The travel agencies can be able to analyse the risks or threats using the real time data. The sales team can be benefitted. They can find the new business leads, profitable and the underperforming clients. The BI also assists in decision making. The customers can get the best hotel rooms, best meals, best tourist guides and the best services.

Scope Description: The scope of this project is to improvise the travelling industry by applying business intelligence and the smart technologies.

Boundaries: Tourism Australia is capable of handling the travel and tourism sectors based only in Australia.

Out of scope: Tourism Australia manages and controls the travel agencies only based in Australia. The countries outside Australia are out of scope.

Project Title: Business Intelligence Implementation in Australia Tourism

BI Project Manager:	Project Start date:30/03/2018
E-mail:	Project End date: 28/09/2018

Tel:

The main objective of the project is to enhance the travel and tourism agencies. The project manager is responsible for implementing the business intelligence and the smart and advanced technologies in the tourism sectors. The travel agencies can get several advantages. They can be able to manage the operation costs. They handle all the mode-cost analysis and the transporter performance evaluation.

BI implementation will be completed by 1 May, 2018

Displaying the information will be completed by 11 May, 2018

Travel arrangements will be completed by 24 May, 2018

Planning hotels will be completed by 15 June, 2018

Customer Further Actions will be completed by 12 July, 2018

On-stage employee contact will be completed by 30 July, 2018

Back-stage employee contact will be completed by 24 August, 2018

Support Process will be completed by 28 September, 2018

Budget Information:

The firm has allocated around $42,000 for this project

Approach:

The project will define the scope, project schedule, deliverables and the work breakdown structure

Identification and analysis of all the hardware and software that are required for the project

A computer-based training, it will help the travel agencies to handle all the business operations better

Project Objectives

Defining the cost management

Defining the risk strategies

Internal communications to be done through weekly meetings

Main Project Success Criteria:

The project must get completed within the stipulated deadline set
The project must be completedwithin the fixed budget

Name	Role	Contact Information

Stephen Cruise	CEO

Herald Jones	BI Director
Alexander Pillinger	BI Project Manager
Jai Longford	Business Analyst
	Data Analyst
Alana Moseley

Customer Name:

4.5.1 RAM (Responsibility Assignment Matrix)

The Australian tourism project aims at enhancing the demand and implement a sustainable and competitive Australian tourism industry within the three months of efforts. It is an appropriate approach to transform the roles and responsibilities of the Project manager and other three members of the following RACI matrix:

4.5.2 RACI Chart

	Tourism Project Manager	Business analyst	Team Leader	Project Sponsors	Stakeholders	Tourists
Project Initiation and planning	R, A	C, I	C, I	I	I	I
Market Analysis	C, A	I	C, I	C, I	I	I
Resource Analysis	R, A, C	I	I	C, I	I	I
Project Execution	R, A,	C, I	R, A	I	I	I
Training to the team members	C, I, A	I	R, A, C	I	I	I
Supporting the development of the project	A, I	R, C	R, C	I	I	I
Risk Identification	A, R, I	I	R, C	I	I	I
Business analysis after deployment of the project	A, R, I	R, I	R, A	C, I	C, I	C, I

4.5.3 Communication Matrix

Meeting	Topic	Communication process	Frequency	Target	Organizer
Kick –off	Introduction of the stakeholders	Video conferencing and face to face	Once	Project Clients, Sponsors, team members, and other stakeholders	Australian Tourism manager
Team members	Identification and presentation of the project constraints	face to face	Twice a week	Project development	Manager
Project Growth	Progress in consumer attraction	face to face	Twice a month	More customers attraction	Manager
Project Audit		Video Conference	Monthly	Stakeholders	Manager
Feedback meetings		Email, Survey, telephone	Once	stakeholders	Manager
Project Closure		Face to face	Once	Executives, managers, and team leaders	Manager

Risk Planning

5.1 Risk Identification and Risk Log

Risks are the tail of the projects, and every project has certain risks that need to minimise to the extent level in a manner to execute the project effectively and efficiently. Following are some of the critical risks associated with this project that needs proper attention before and during the development of the project.

S.L. No.	Risks	Description	Impact	Probability	Mitigation
1	Socio-Demographic factors	New markets, sex and age of the tourists, and their culture	H	M	Implementing policies for different age group and provide them priority while touring Australia
2	Technology	Business intelligence can be not understandable to the stakeholders	V H	H	Proper and regular training to the involved staffs and employees
3	Economic Factors	Lacking in sponsors, economic recession, and rise in prices of the resources	H	L	Effective awareness program, proper advertisement, an awareness campaign
4	Political Factors	Wars and difference between the laws of different countries	L	M	Proper paperwork should be done before moving to other country, and all the policies should be looked and considered well
5	Health	Malaria and other infectious diseases	M	M	Proper medical facilities
6	Crime and Safety	Fraud, hijacking, and theft	V H	V H	Enough cops protection
7	Nature	Environmental factors, weather hazards, and natural disasters	V L	V H	The tourism can be planned after war and proper protection policies should be sign off by the government

5.2 Cause and effect Diagram

5.3Probability / Impact Matrix

Probability
Very High				R 2	R 6
High		R 3	R 1
Medium			R 5
Low			R 4
Very Low					R 7
Severity	Very Low	Low	Medium	High	Very High

MS Excel has been used to evaluate all the data and the plans. The MS Access has been used to store and handle all the data.

MS Excel, MS Access and SQL have been used in the project. However, in certain future, we can struggle due to the hardware issues, OS crash and the network issues

The following items will be handed over to the client and will be handed as organisational assets.

Planning Document
Designing Document
Customer Satisfactory Survey
Lessons Learnt Document
Preparation of Final Project Performance Report

References

[1] M. Angelaccio, A. Basili, and B. Buttarazzi, “Using geo-business intelligence and social integration for smart tourism cultural heritage platforms,” in Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE, 2013, pp. 196–199.

[2] W. Höpken, M. Fuchs, D. Keil, and M. Lexhagen, “Business intelligence for cross-process knowledge extraction at tourism destinations,” Inf. Technol. Tour., vol. 15, no. 2, pp. 101–130, 2015.

[3] M. Fuchs, A. Abadzhiev, B. Svensson, W. Höpken, and M. Lexhagen, “A Knowledge Destination Framework for tourism sustainability: A Business Intelligence application from Sweden,” Tourism, vol. 61, no. 2, pp. 121–148, 2013.

[4] T. Vajirakachorn and J. Chongwatpol, “Application of business intelligence in the tourism industry: A case study of a local food festival in Thailand,” Tour. Manag. Perspect., vol. 23, pp. 75–86, 2017.

[5] W. Höpken and M. Fuchs, “Introduction: Special Issue on Business intelligence and big data in the travel and tourism domain,” Information Technology and Tourism, vol. 16, no. 1, 2016.

[6] M. Fuchs, W. Höpken, and M. Lexhagen, “Big data analytics for knowledge generation in tourism destinations – A case from Sweden,” J. Destin. Mark. Manag., vol. 3, no. 4, pp. 198–209, 2014.

[7] V. Nicula and P. R. Elena, “Business Tourism Market Developments,” Procedia Econ. Financ., vol. 16, pp. 703–712, 2014.

[8] H. Chen, R. H. L. Chiang, and V. C. Storey, “Business Intelligence and Analytics: From Big Data To Big Impact,” Mis Q., vol. 36, no. 4, pp. 1165–1188, 2012.

[9] M. Fuchs, W. Höpken, and M. Lexhagen, “Big data analytics for knowledge generation in tourism destinations – A case from Sweden,” J. Destin. Mark. Manag., vol. 3, no. 4, pp. 198–209, 2014.

[10] P. M. Marin Ortega, L. G. ??vila, and J. M. G??mez, “Business intelligence taxonomy,” Stud. Comput. Intell., vol. 537, pp. 149–159, 2014.

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