Authors
Patrick O'Beirne
Abstract
The quality of the data in spreadsheets is less discussed than the structural integrity of the formulas. Yet it is an area of great interest to the owners and users of the spreadsheet.
This paper provides an overview of Information Quality (IQ) and Data Quality (DQ) with specific reference to how data is sourced, structured, and presented in spreadsheets.
Sample
This is a cause-and-effect diagram illustrating the many contributory causes to poor data quality.
The five types of causes are:
- Policy.
- Methods.
- Technology.
- Training.
- People.
Publication
2008, EuSpRIG
