(a) Discuss the following DSS application development and give ONE (1) example for each application. i. Data-driven DSS ii. Model-driven DSS (b) Based on the following case study, Company XYZ operates in a competitive environment mainly against the truck transport. The success of this company depends on fast pricing requests for adhoc information by the many decision makers at remote locations. A huge database of historical data (about 5 million records per year, each containing 100 fields of data) is used for information retrieval. In addition to internal data, the DBMS includes industry and other environmental information provided by external data banks and information about clients and competitors. (i) State and explain THREE (3) characteristics of decision support systems. (ii) Explain how the company is able to gain competitive advantage against its competitors by suggesting DSS.

(a) Discuss the following DSS application development and give ONE (1) example for each application. i. Data-driven DSS ii. Model-driven DSS (b) Based on the following case study, Company XYZ operates in a competitive environment mainly against the truck transport. The success of this company depends on fast pricing requests for adhoc information by the many decision makers at remote locations. A huge database of historical data (about 5 million records per year, each containing 100 fields of data) is used for information retrieval. In addition to internal data, the DBMS includes industry and other environmental information provided by external data banks and information about clients and competitors. (i) State and explain THREE (3) characteristics of decision support systems. (ii) Explain how the company is able to gain competitive advantage against its competitors by suggesting DSS.

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

See similar textbooks

Similar questions

How can data modeling support data privacy and compliance efforts, especially in light of regulations like GDPR and CCPA?
1) Discuss the importance of a computerised information system in business. 2) Explain that data management is an integrated set of functions that defines the processes by which data is obtained, certified fit for use, stored,secured, and processed in such a way as to ensure that the accessibility, reliability, and timeliness of the data meet the needs of the data users within an organization
When hundreds of IT companies need workers with unique capabilities, they turn to Tip Top Staffing. The logical model of Tip Top's billing and records system is currently being developed by systems analysts Lisa Nuevo and Bill Goodman utilizing DFDs, a data dictionary, and process descriptions. While developing the system's logical architecture, Lisa realized that the data forms used by Tip Top to gather information about job seekers might need some tweaks. Was the suggestion to enhance the forms a matter of how they were physically implemented? Is Lisa getting off-track because she wants to know "how" something will be done rather than "what" it will be done?
Which of the following would not help create a appropriate question in the AMPS model? Multiple Choice Knowledge of business processes. Making the statement succinct. Narrowing the scope of the question. Ensuring the data has integrity. All of the following are challenges for auditors when auditing records residing in a blockchain network except: Multiple Choice Programming skills may be needed. Complicated protocols may be difficult to understand. Smart contracts cannot be used as evidence. O Converting traditional audit approaches to blockchain technology.
Thinking about Data Mining As implied in the text, data mining boils down to making sense of bits of information embedded in a large mass of information. No matter how exquisite the software performing the data mining, the manager or professional must have good intuition about the potential value of information or patterns of information. To get you in the right mind-set for data mining, do the following puzzlers. • You are a manager in an insurance company. Your data mining software notes that people under 30 purchase less sun-blocking lotion, buy more cigarettes, and are more likely to let their auto inspection stickers expire. What sense do you make of these data that could help your insurance company? • You are a human resources professional. Your data mining software indicates that employees who purchase American flags, watch professional football on TV, and own an SUV tend to stay longer with the company. What implications might this information have for staffing…
xplore the concept of data governance frameworks, such as DAMA-DMBOK. How do these frameworks help standardize data management practices across industries?