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Information Quality Analysis

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Conference

1997 Annual Conference

Location

Milwaukee, Wisconsin

Publication Date

June 15, 1997

Start Date

June 15, 1997

End Date

June 18, 1997

ISSN

2153-5965

Page Count

10

Page Numbers

2.234.1 - 2.234.10

Permanent URL

https://peer.asee.org/6614

Download Count

17

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Paper Authors

author page

Bahador Ghahramani

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Session 2642

INFORMATION QUALITY ANALYSIS

Bahador Ghahramani, Ph.D., P.E., CPE

206 Engineering Management School of Engineering University of Missouri-Rolla Rolla, Missouri 65409-0370 (USA) E-mail:ghahrama@shuttle.cc.umr.edu

INTRODUCTION

The rapid proliferation of state-of-the-art electronically stored data, the information super- highway, advanced information systems (IS) that input and generate data, and modern Systems Engineering (SE) improvements have increased the importance of information quality in the Twenty-First Century communications age. It is a fact that, despite improvements in information efficiency, speed, accuracy, verification, and validation processes, output quality in IS is usually poor and often unacceptable. In most cases, when information quality problems are considered and data accuracy issues are addressed, resources are allocated toward correcting the faulty data rather than improving the process.

Information quality analysis makes a comparison between the data provided and “finished” products or services at the end of a production process. The distinction will be made that, in real-time environments, data are continually updated and validated. The accuracy of one piece of information, therefore, may not depend on correctness of another; and, correction of one faulty value may not prevent the occurrence of others at a later point in time. However, validity of the outputs as a whole depends on accuracy of each piece of data. In IS environments, a correct value may be accurate for a limited duration of time, becoming faulty or outdated at a later time.

This paper will also address the following fundamentals of data quality and future evolutionary initiatives in modern IS.

• Processes that deliver data and the accuracy of the data become more significant. This includes on-line services such as automated processes that enhance research and development efforts.

Ghahramani, B. (1997, June), Information Quality Analysis Paper presented at 1997 Annual Conference, Milwaukee, Wisconsin. https://peer.asee.org/6614

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