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The business value of improved decision making in an organizational setting is the focus of chapter...

The business value of improved decision making in an organizational setting is the focus of chapter 12 Enhancing Decision Making. Successful organizations are those that have mastered the decision making process. In order to facilitate this process, there are technologies that specialize in modeling, data mining, and analysis, all in support of better human decision making. Keep in mind that these technologies are not a substitute for human decision making but rather are designed to aid in the process.

By doing a search of the internet, or by other research methods, find an example of a company or organization that has chosen to implement a Decision Support System(remember to post references).


Here are some questions to ponder

1) What was the organization prime motivation for seeking to improve their decision making process? name the company.

2) What deficiencies existed in their current process for decision making?

3) What technologies or systems did they deploy in order to improve the decision making process?

4) From the readings in your text, what type of decision support system closely resembles the one you chose in your case study? Support your answer with details or examples.
What managerial level of the organization did this system specifically target? Which departments were targeted? Why?
Did better organizational decision making result from this project? If not, what obstacles remained?
In the final analysis, what was the business value of improved decision making to this organization?

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Answer #1

Answer. Hi.... Here we are taking the example of Walmart, a company or organization that has chosen to implement a Decision Support System. This is true that many businesses now implement the use of decision support systems as they believe that an investment in knowledge always pays the best interest. Thus, they are investing in the knowledge that a DSS can provide them by analyzing astounding amounts of data.

Now if we talk about Walmart, it became one of the first big users of enterprise data warehouses successfully and exponentially in 1992. Walmart was founded by Sam Walton after owning several profitable Ben Franklin franchises in 1962. Walmart has some of the best complementary decision support systems for a data warehouse to be useful to a business to accomplish the organizational goals. Before the use of data warehouse, Walmart used to store their data in separate databases which is a useful information but not helpful for analysis. Now, they were able to build their own database along with decision support systems which allowed data to be retrieved for analysis and for strategic management decisions.

Walmart uses Decision Support System because it wanted its buyers and suppliers to run queries and analyze information to make informed decisions on replenishing, customer buying trends, analyze seasonal buying trends, make mark down decisions, and react to merchandise volume and movement at any time.

Initially, Walmart faces several problems with the implementation of the systems. The first problem that they encountered was with their Buyer Decision Support System, a Windows-based application created to allow buyers to run queries based on stores, articles, and specific weeks. Unfortunately, the success rate of the BDSS was very low at the beginning of the implementation as system allowed users to run queries depending on their needs. But as the decision system was rewritten, it became very profitable and successful to the company. Now, the buyers had access to Walmart’s warehouse, shipments, and purchase orders by allowing access to their database. Therefore, everyone was able to log in and run.

Hope this is helpful... Thanks

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