Implications of data quality for spreadsheet analysis
Donald P. Ballou, Harold L. Pazer, Salvatore Belardo, Barbara D. Klein · ACM SIGMIS Database the DATABASE for Advances in Information Systems · 1987
This paper examines the impact of deficiencies in data quality on the results generated for spreadsheet applications. The purpose is to describe a framework which can be systematically used to determine the relative importance of potential errors in operational and judgmental data. Special emphasis is placed on analyzing the implications of deficiencies in data quality on projected spreadsheet results.