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A.S.C. Ehrenberg
A Primer in Data Reduction
C.R. Rao
Optimum Balance between Statistical Theory and Applications in Teaching
D.R. Cox, E.J. Snell
Applied Statistics
G. Vinten (1992)
Thriving on Chaos: The Route to Management SurvivalManagement Decision, 30
G. Vinten (1991)
Teaching Chaos: How to Manage Operational AuditsManagerial Auditing Journal, 6
Institute of Internal Auditors
A Survey of Internal Auditing in the United Kingdom and Eire
C. Maysmore‐Gee, J. Santocki
Application of Auditing Techniques in the United Kingdom
B. Apostolou, F. Alleman
Internal Auditing Sampling
J.W. Tukey
Exploratory Data Analysis
C. Chatfield (1985)
The Initial Examination of Data, 148
D. Ricketts, H. Sorkin (1983)
Quantitative techniques for internal auditing
Auditing Practices Committee
Auditing Guideline 308, Guidance for Internal Auditors
Data management is the preferred name for a technique that is known by other names. It involves the rearranging of data until such point as it is possible to make sense out of the confusion of raw data. Provides a practical, worked example of data management in action. A mini case study seeks to evaluate the effectiveness of various training methods used to improve standards of numeracy among junior managers. Iterations are provided to show, stage by stage, how data management operates. In parenthesis the statistical approach is outlined, but it is clear that data management has achieved a presentation of the data that is clearer, complete and more compelling. Professor Ehrenberg′s six golden rules conclude the demonstration, which executives will find useful in their day‐to‐day work.
Executive Development – Emerald Publishing
Published: Apr 1, 1994
Keywords: Database management; Data processing; Executives; Institute of Internal Auditors; Internal audit; Statistics
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