Discussion Guidelines: Remember That Plagiarism Includes Cop

Discussion Guidelinesremember That Plagiarism Includes Copying And Pas

Remember that plagiarism includes copying and pasting material from the internet into assignments without properly citing the source of the material. Copying from an internet source and pasting is strictly forbidden. All work must be organized and formatted consistent with the APA 6th edition style format (double spaced and references indented accordingly). All citations and references must be in the hanging indent format with the first line flush to the left margin and all other lines indented. This is a scholarly post and your responses should have more depth than "I agree" and should demonstrate critical reflection of the problem in order to promote vigorous discussion of the topic within the forum.

For the discussion, students are expected to make a minimum of three posts on three days for EACH Topic. Your initial post will be your answer to the Question and is to be 300 – 400 words with at least two references. The remaining two posts will be comments engaged with your classmates in meaningful discussion, more than affirmation, on their post and the subject matter and be between words. Initial post will be graded on length, content, grammar and use of references. The initial post must be submitted by Wednesday at 11:59 PM EST, to allow students the opportunity to respond to it.

Using APA in discussion posts is very similar to using APA in a paper. And it helps to think of your discussion post as a short APA paper without a cover page. You need to cite your sources in your discussion post both in-text and in a references section. If you need help forming in-text citations, check out our in-text citation page on the APA guide.

Topic 1: Describe how DSS/BI technologies and tools can aid in each phase of decision making

The decision-making process is fundamental in managing organizational goals and operational efficiency. Decision Support Systems (DSS) and Business Intelligence (BI) technologies play a pivotal role in enhancing the quality and timeliness of decisions across all phases of decision making. This paper explores how these tools assist during the various stages of decision creation, from problem recognition to evaluation and feedback.

The first phase, problem identification, benefits significantly from DSS and BI tools by providing real-time data analytics and dashboards. These systems enable decision-makers to recognize issues promptly through visualization of key performance indicators (KPIs) and trends, thus facilitating early intervention (Power, 2002). For instance, BI dashboards consolidate data from multiple sources, offering a comprehensive overview of organizational performance, which enhances situational awareness.

During the information gathering phase, DSS/BI tools support data collection and analysis. These systems allow users to sift through vast datasets efficiently, leveraging data mining, online analytical processing (OLAP), and reporting capabilities to identify patterns, correlations, and anomalies (Negash, 2004). Improved data accessibility and analysis speed empower managers to make informed decisions based on comprehensive insights rather than intuition alone.

The decision analysis phase heavily relies on DSS and BI by offering simulation models, what-if analysis, and scenario planning features. These tools enable decision-makers to evaluate possible outcomes and assess risks associated with various options. For example, predictive analytics can forecast future trends based on historical data, supporting proactive strategic planning (Sharda, Delen, & Turban, 2014). Such capabilities reduce uncertainty and improve confidence in decision choices.

Furthermore, during implementation, BI systems facilitate monitoring of decision outcomes through real-time tracking and alert systems. Post-decision evaluation is supported by BI reporting tools, which assess performance metrics against predefined benchmarks. Feedback loops and dashboards help managers fine-tune strategies and ensure continuous improvement (Power, 2002).

In conclusion, DSS and BI technologies significantly enhance decision-making at each phase by providing timely, accurate, and comprehensive data analysis tools. Their integration into decision processes leads to better-informed, more effective organizational strategies, ultimately driving competitive advantage in today’s data-driven environment.

References

• Negash, S. (2004). Business intelligence. Communications of the ACM, 47(5), 54-59.
• Power, D. J. (2002). Decision support systems: Concepts and resources for managers. Westport, CT: Greenwood Publishing Group.
• Sharda, R., Delen, D., & Turban, E. (2014). Business Intelligence and Analytics: Systems for Decision Support. Pearson.