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Accounting -- Data processing

1999

Articles 1 - 6 of 6

Full-Text Articles in Business

Infotech Update, Volume 8, Number 6, November/December 1999, American Institute Of Certified Public Accountants. Information Technology Section Nov 1999

Infotech Update, Volume 8, Number 6, November/December 1999, American Institute Of Certified Public Accountants. Information Technology Section

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Infotech Update, Volume 8, Number 5, September/October 1999, American Institute Of Certified Public Accountants. Information Technology Section Sep 1999

Infotech Update, Volume 8, Number 5, September/October 1999, American Institute Of Certified Public Accountants. Information Technology Section

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Infotech Update, Volume 8, Number 3, May/June 1999, American Institute Of Certified Public Accountants. Information Technology Section May 1999

Infotech Update, Volume 8, Number 3, May/June 1999, American Institute Of Certified Public Accountants. Information Technology Section

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Infotech Update, Volume 8, Number 2, March/April 1999, American Institute Of Certified Public Accountants. Information Technology Section Mar 1999

Infotech Update, Volume 8, Number 2, March/April 1999, American Institute Of Certified Public Accountants. Information Technology Section

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Infotech Update, Volume 8, Number 1, January/February 1999, American Institute Of Certified Public Accountants. Information Technology Section Jan 1999

Infotech Update, Volume 8, Number 1, January/February 1999, American Institute Of Certified Public Accountants. Information Technology Section

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A Data Dictionary Approach To Meeting User Requests For Accounting Information, Kristi Jane Yuthas, Dennis F. Togo Jan 1999

A Data Dictionary Approach To Meeting User Requests For Accounting Information, Kristi Jane Yuthas, Dennis F. Togo

Business Faculty Publications and Presentations

In this era of massive data accumulation, dynamic development of large-scale databases and inteifaces intended to be user-friendly, there is still an increasing demand on analysts as actual user access to databases is still not a common practice. A data dictionary approach, that includes providing users with a list of relevant data items within the database, can expedite the analysis of information requirements and the development of user-requested information systems. Furthermore, this approach enhances user involvement and reduces the demands on the analysts for systems development projects.

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