ernst and anderson is a manufacturer of power tools and other products used in the construction industry the company was founded in the early 1900s as a

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a. If a user requested the data name “Lot size” in the production scheduling application, and the same user entered the data name “Minimum level” in the finished goods inventory application, what would be the result? If a user requested the data name “ Units started” in the production scheduling application, then requested the data name “ Quantity” in the work- in- process application, and then requested the data name “ Units” in the finished goods inventory application, what would be the result? What additional consideration compounds this type of problem?
b. If a user requested the data name “Code” in the production scheduling application, then requested “Code” in the work- in- process application, and then requested “Code” in the finished goods inventory application, what would be the result?
c. Discuss the role of a data dictionary in analyzing data ambiguity. Indicate how specific sections of a data dictionary can help resolve data ambiguity.
d. What action should the management of Ernst and Anderson take concerning the status of the DBMS project? Should the project team complete its study of data ambiguity even though the project has taken considerably more time than expected? Should the DBMS project proceed in view of the large amount of data ambiguity that has been discovered? If so, what is the first database that should be implemented?

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