Information and Knowledge Management using ArcGIS ModelBuilder

Bartosz Wachnik
Guaranteeing a knowledge transfer from consultants to key users both formally, through trainings
and handbooks, and informally, during tests, data migration, as well as parametering. Possessing
knowledge about the system by the key users is one of the key factors for an appropriate ERP
system validation.
Guaranteeing a completion of suitable documentation on each implementation stage, if required
by the validation.
Guaranteeing a completion of multileveled tests, i.e. preliminary tests, in-depth tests of selected
functionalities and acceptance tests. The methodics should guarantee a suitable documentation
required by the validation within the range of tests completion as well as the regulation of an ERP
system that is being implemented.
The Life&Science branch, especially pharmaceutical companies, is treated as rich compared to other
branches. Implementing management support systems, among others ERP, for this type of
enterprises is more expensive. The reason is the higher labour intensity, resulting mostly from the
questions of validation. Nevertheless, there are cases of implementation where the implementation
budget exceeds the original budget by 100-200% and the implementation does not accomplish its
organizational and economic goal, e.g. after the validation a system is not recommended for use and
requires regulation (tunning). Appropriate implementation methodics designed for a given
“Life&Science” branch enterprise may significantly decrease the probability of organizational
turbulence and an increase of implementation cost.
References
D. Remenyi, A. Money, M. Sherwood-Smith (2000), The Effective Measurement and Management of IT Cost and
Benefits, Butterworth-Heinemann, Oxford.
M. Parker, J. Benson (1988), Information Economics, Prentice Hall, Upper Saddle River.
Hojdyś K.(2004), Applying the GAMP 4.0 methodics in implementation of IT system validation. Process
optimization on the basis of risk analysis. Oinpharma Ltd. (formerly Polfa Centre for Scientific Information),
Warsaw.
International Society for Pharmaceutical Engineering. Good Automated Manufacturing Practice Guide for
Validation of Automated Systems, www.ispe.org
General Principles of Software Validation; (January 2002) Final Guidance for Industry and FDA Staff U.S
Department of Health and Human Service Food and Drug Administration, Washington.
Rodriguez J., Validation of an Enterprise Resource Planning (ERP) System: An SAP Case Study. Journal of
Validation Technology May 2003, Volume 9.
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