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Suppose you are the information technology (IT) manager for an IT company. You receive a report that contains a list of computer equipment stored in the company warehouse. You notice that the list also includes items that you know are not stored in the warehouse. Would you consider this list as good information? Why, or why not? Give some examples of at least three items on this list that you consider to be good information and at least three items on this list that would not be good information. Explain your reasoning, and include a discussion about why good information is important in management information systems (MIS).

User Uliysess
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Answer:

The summary including its query given is mentioned beneath.

Step-by-step explanation:

The collection includes products which are housed throughout the warehouse, and even some products which have not been housed in the warehouse. Given that perhaps the document appears expected to contain a collection of stock in the warehouse, I would assume that even this documentation isn't really pleasant. That's because each list would rank very poorly whenever it comes to data accuracy.

Most of the other things which could be regarded strong data mostly on list seem to be:

  • Collection of products that would be in the warehouse throughout fact.
  • The list becomes more certainly exhaustive as well as coincides with the intent of preparation.
  • The number of objects would surpass the confidence interval which, in comparative purposes, have a buffer.

The list still has pitfalls, and many of the things that would be deemed poor knowledge have become:

  • Name and sometimes acknowledgement of products that weren't in the warehouse through fact.
  • Wrong estimate including its variety of products.
  • Details should never be used for this same real-time estimation of storage facility-related data.

In MIS, accurate knowledge is crucial because MIS offers an interlinked mechanism amongst servers and applications that lets organizations making informed decisions, support processes, and the organization structure of support. If the evidence is not strong, so inaccurate decisions based through mistaken conclusions will interfere throughout the decision-making process. As a consequence, performance, effect and potential loss of sales may be lost.