What would you need to know to participate in the design and use of a Decision Support Systems (DSS)? Why?

What would you need to know to participate in the design and use of a Decision Support Systems (DSS)? Why?As a manager or user of information systems, what would you need to know to participate in the design and use of a Decision Support Systems (DSS)? Why?
Remember to cite the text in all discussion question responses and include references. • Initial Substantive Posts: Submit an initial response to each of the prompts provided each week by your instructor. Your initial post should be substantive, and must be posted by midnight, Central Time by Wednesday of each week. In your substantive post you are encouraged to use references (you may use your textbook); show evidence of critical thinking as it applies to the concepts or prompt and/or use examples of the application of the concepts to work and life. Proper punctuation, grammar and correct spelling are expected. Please use the spell-check function. Required Texts: Laudon, K. C. & Laudon, J. P. (2014). Management information systems: Managing the digital firm (13th ed.). Upper Saddle River, NJ: Pearson. Read uploaded paper

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Discussion Questions

1. As a manager or user of information systems, what would you need to know to participate in the design and use of a DSS or an ESS? Why?

Managers and users of information systems would want to specify what kinds of decisions the systems should support, and where the data for those decisions should come from. In a typical enterprise, workers are capturing data, sharing data with other workers, retrieving insights from captured data, and managing the information as per agreed upon guidelines. However, data are turned into valuable business information and insight only when they can be easily captured, systematically stored, properly retrieved, readily shared, and well managed. Data management, DSS, and ESS represent the cornerstone of any data warehousing program.

Data warehouses have become a critical component in enabling management to make decisions quickly and accurately. For example, telecommunications companies use it to manage churn and ensure the retention of their customers, while retail firms rely on data mining to maximize product mix and shelf space, and governments use it to manage federal welfare and healthcare programs. Across industries, data warehousing programs have helped increase productivity, reduce the time it takes to analyze data, and reveal business opportunities that were otherwise hidden from management among layers of unreachable data. However, if management is not part of the design and use of a DSS or ESS, then this information may not be available or utilized. If not, the firm may not be able to gain or maintain a competitive advantage. One thing is for sure—the competition is using these systems to enhance decision making

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