Business Intelligence

Class,

The first part of the project. Please refer to the syllabus for the due date.

Description:  

The main project: In this project, you are either work on the hypothetical company or an existing company. In either case, you are supposed to develop a Business Intelligence Development Plan for a local corporation. In this project, you will follow the process and format part

 1: The document should be in the following format (use Word document):

Part 1

·

Business Intelligence Development Plan – Use the APA template

.

Title page

Course number and name project

1. name

1. Student name

1. Date

. Table of contents

. Use the auto-generated TOC.

. Make it a maximum of 3 levels deep.

. Be sure to update the fields of the TOC so that it is up-to-date before submitting your project

. Section headings (create each heading on a new page)

·
.

. Business Intelligence Justification

. Business Performance Plan

. Business Performance Methodologies

. Data Classification and Visualization Assessment

. Data-Mining Methods and Processes

Provide, a rough draft of the company incorporate the conceptual foundations of decision making does

. Simon’s four phases of decision making: intelligence,

. design, choice, and implementation apply to your project?

. How the process works in relates to the essential definition of DSS

. Explain the important DSS classifications

How DSS support for decision making can be provided in practice review

. DSS components and how they integrate

You will work on this project incrementally as it is posted. Each week; you will do part of this project and submit at the due date.Your project must be supported by the scholarly sources and that you cite each source both in-text and in the References section using APA. The first section of new content will be as follows:

Business Intelligence Justification (Week 1 IP): 6- 8 pages describe )excluding from the cover page and the reference sheet)

the background and the general business environment for the project define

. at least 10 problems related to decision making that currently exist in the organization.

. Describe the typical organizational response to the above 10 problems using the business pressure-responses-support model.

. Describe the quantitative and qualitative impact of the organizational response to the 10 problems on managerial decision making.

. Describe how business intelligence can be used to support problem-solving and decision support in the case study organization.

Business Intelligence Development Plan
Report

Contents
Section 1: Business Intelligence Justification 2
Describe the background and the general business environment for the project 2
Define at least six problems related to decision making that currently exist in the organization. 2
Describe the typical organizational response to the above 6 problems using the business pressure-responses-support model. 3
Describe the quantitative and qualitative impact of the organizational response to the 6 problems on managerial decision making. 4
Describe how business intelligence can be used to support problem-solving and decision support in the case study organization. 4

References

6

Section 1: Business Intelligence Justification

Describe the background and the general business environment for the project

With the real-time business industry, the case of Continental Airlines has become important to analyse and understand the nature of the data warehouses, related to it. The company is spending a lot of time and energy in properly planning and scheduling the operations with handling the bad weather conditions or the unexpected events. Continental Airlines retrying to reduce the expenditure with providing better solutions and investing in the software and hardware in a bigger amount. The airlines have the broadest global route network of the U.S. airlines with more than 2300 daily departures (Anderson et al., 2004). The company has been able to handle the ticket sales mainly because of the performance on the factors which are important to the customers. With the focus on the improvement of the customer valued performance measures, the perceptions of the value of services are offered depending upon marketing and operations. The information where the workforce need to make the quick decisions is based on integrating the marketing, IT and the revenue with proper handling of the operational data sources and the enterprise data warehouse.

Define at least six problems related to decision making that currently exist in the organization.

a. They need to deal with the crew disruptions in real time so that the pilots and the flight attendants could easily be reassigned in a cost-effective manner.

b. There is a need to handle the quality-of-life preferences so that the employees can handle the governmental regulations and the contractual labour laws (Dobrev & Hart, 2015).

c. The decision making must be on handling the attacks of the terrorists which involve the cancellations and the large time window to come back in a proper schedule.

d. The issue is related to the frequent baggage arrival problems.

e. The customers turned away mainly due to the problems of overbooking.

f. The decision making has to be on the factor related to handling the passengers who tend to use the flight.

Describe the typical organizational response to the above 6 problems using the business pressure-responses-support model.

a. The business pressure relates to the facilitating of the changes with the attempt to handle the opportunities and challenges. Through the reassignment of the crew, the airlines focus on avoiding the additional delays or any cancellations with improvement on the time-performance and handling the goodwill of the customer. The crew assignments are generally limited by the employee qualification factors where the Continental Airlines also tend to provide the passengers with the consistent and the reliable service as it tends to suffer certain issues with the unavailability of the crew (Gupta et al., 2015).

b. The business responses are done with the actions that are based on reaction, adaption, anticipation and the proactiveness, where the reaction is to improve the problems related to the decision making. The adaption is by making use of the management science to handle the operational efficiency, reliability and the service factors. The anticipation is to make decisions of up-to-date information by focusing on the long-term decisions with proactiveness to handle the data warehouse which is extended to the decisions and down in the organisation as well.

c. The computer support could help the Airlines to implement and effectively scheduling the flights to solve the problems for human processing (Negash & Gray, 2008).

Describe the quantitative and qualitative impact of the organizational response to the 6 problems on managerial decision making.

The quantitative results can be for the decisions with proper interpretation for the informal opinions, judgement and the intuition. the approach is about handling the raw material where the data are manipulated or processed into the information to make the decision processes. The computers have been mainly for the quantitative analysis. For this, it is important to consider the investments which includes the investments in the stock market, real estate etc. The analysis is mainly to work on the deposits with the computation of financial ratios from the balance sheets. The factors of qualitative analysis are based on handling the automation of the decision making where the companies tend to focus on the inventory models with the decision making (Richards et al., 2017). The continental employees have the real-time feeds of data into the data warehouse with on-demand reporting routines and the querying tools. The focus is also on working over the limited instances of direct links from the analytics against the data warehouse to the operational system. This direct affect the interactions with customers on the continents on-line sites.

Describe how business intelligence can be used to support problem-solving and decision support in the case study organization.

The company has been focusing on the use of BI which can help in handling the applications of customer facing, with the call centres and the check-in processes. This will help in making the firm to be customer centric. The zero latency organisations use the real time BI for increased revenue with decreased costs (Turban et al., 2011). The BI is set with the sponsorship support, with initial and the on-going financial support governance process. The BI data warehousing personnel works with the different skills and the change of processes that lead to the acceptance of use by the organisation. The technical standards are set to establish the data with quick transformation and loading in the warehouse where the data can be analysed and properly made available for the operational systems (Wixom et al., 2008). The changes in latency is considered to be the evolution where the business focus on handling the evolutional approach with recognizing the latency needs. The example for this is Service Bureau infrastructure supports the loading of data queues and handle the real-time feeds. With this, it is important to focus on the data warehousing discussed with the business where the users need help in understanding the potential of the real time BI (Watson et al., 2006). With this, the users need to handle the automation of the ETL process where there is minimum human intervention till the monitoring systems certainly requires a proper attention. The focus is on the change of the downstream decision making and the business processes where the person is responsible for handling the performance reports. Here, the organisations need to apply changes to the management practices and the decision-making processes. The Operations Staff are found to be more reliant on the applications to make the operation decisions and handle the mission in an effective manner.

References

Anderson-Lehman, R., Watson, H. J., Wixom, B. H., & Hoffer, J. A. (2004). Continental Airlines flies high with real-time business intelligence. MIS Quarterly Executive, 3(4), 163-176.

Dobrev, K., & Hart, M. (2015). Benefits, Justification and Implementation Planning of Real-Time Business Intelligence Systems. University of Cape Town, Cape Town, South Africa, 104-119.

Gupta, B., Goul, M., & Dinter, B. (2015). Business Intelligence and Big Data in Higher Education: Status of a Multi-Year Model Curriculum Development Effort for Business School Undergraduates, MS Graduates, and MBAs. CAIS, 36, 23.

Negash, S., & Gray, P. (2008). Business intelligence. Handbook on decision support systems 2, 175-193.

Richards, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2017). Business intelligence effectiveness and corporate performance management: An empirical analysis. Journal of Computer Information Systems, 1-9.

Turban, E., Sharda, R., & Delen, D. (2011). Decision support and business intelligence systems. Pearson Education India.

Watson, H. J., Wixom, B. H., Hoffer, J. A., Anderson-Lehman, R., & Reynolds, A. M. (2006). Real-time business intelligence: Best practices at Continental Airlines. Information Systems Management, 23(1), 7.

Wixom, B. H., Watson, H. J., Reynolds, A. M., & Hoffer, J. A. (2008). Continental airlines continues to soar with business intelligence. Information Systems Management, 25(2), 102-112.