Q & A Review on DSS Concepts. Methodologies, and Technologies: An Overview

1.    Q: List and describe the three major components of DSS.
       A: The three major components are: data, models, and user interface.

Data refers to the information needed to make a decision, typically stored in a database, and to how these data are organized and managed by a DBMS.

Models refer to the models used to analyze the data and predict the results of a decision, as well as to the software used to manage the use of the models in a DSS.

User interface refers to the way a manager or knowledge worker can use the system to support his or her decision making needs without having to become an expert in its technology.

Q & A Review on Decision Making, Modeling, & Support

1.     Q: What are some of the key questions to be asked in supporting decision making through DSS?
             A:
•    What are the root issues underlying the decision situation?  Do we understand the problem sufficiently to support it? 
•    How structured is the decision? Is it unstructured, semi-structured, or structured?
•    Does the decision involve judgment? To what extent?
•    What data is needed to solve the problem?
•    Can an existing tool be leveraged or reused?
•    Is a tool needed?
•    What is the implementation plan?

Q & A Review on DSS & BI

1.    Q: List the components of and explain the Business Pressures–Responses–Support model.
A: The components of the pressure-response-support model are business pressures, companies’ responses to these pressures, and computerized support. The model suggests that responses are made to counter the pressures or to take advantage of opportunities, support facilitates monitoring the environment (e.g., for opportunities) and enhances the quality of the responses.

Components of academic paper

Abstract	·         No more than 100 words ·         Summarizes arguments ·         Mentions aims/purposes ·         Mentions focus of literature ·         Mentions methods of research ·         Mentions findings ·         Mentions implications
Introduction	·         Provides background information and rationale for the research, and indicates why the topic is useful/interesting/significant ·         Presents research questions ·         Presents research aims

10 Life Lessons from Einstein

1. Follow Your Curiosity
“I have no special talent. I am only passionately curious.”

2. Perseverance is Priceless
“It’s not that I’m so smart; it’s just that I stay with problems longer.”

3. Focus on the Present
“Any man who can drive safely while kissing a pretty girl is simply not giving the kiss the attention it deserves.”