Information and Knowledge Management using ArcGIS ModelBuilder

2. Performance review model for NDP
2.1 Measuring performance
Misoo Kwon
The performance review model for NDP is a systemized model that reviews the performance of NDP
in an efficient way based on theoretical and practical cases of precedent studies regarding information
and technology performance measurement. This is because the NDP deals with of heterogeneous
and multiple databases that consist of enormous amount of information and a wide range of data
services. Performance review categories for NDP include business performance and economic
impact. Business performance can be then broken down into four sub-categories - user satisfaction,
system utilization, system performance and data assurance.
User satisfaction is for reviewing whether the provided data are useful and measures accuracy,
usability and fidelity of information.
System utilization is for reviewing how the provided data are used in business and measures
frequency of use and level of convenience.
System performance is for reviewing whether the stored data can be provided easily and
immediately at the time of need and measures system processing speed.
Data assurance is for reviewing whether the stored data are effective and reliable for business
and measures data integrity, accuracy and consistency.
Economic impact measures return on investment (ROI) which converts the cost of saved time into
the current value.
2.2 Performance review indicators
Main principles for developing performance review indicators for NDP are integration, objectivity,
integrity and visibility. Integration means that the indicator must be a standardized one that can be
applied commonly to many databases serving different goals. Objectivity means that it must be
objective for universal validity against diverse databases. Integrity means that the indicator must allow
review of the entire project goals and visibility means that it must be clear enough to show the result
of performance review.
The performance review indicators developed from the above principles are introduced by each
category as in Table 1 below:
Table 1: Performance review indicators
Category Sub-category Review indicator
Information usability
User satisfaction
Information accuracy
Information fidelity
Utilization convenience
System utilization
Utilization rate
Business performance
Utilization efficiency
System performance
System management status
System processing speed
Data integrity
Data assurance
Data accuracy
Data consistency
Economic impact Return on investment (ROI)
Each review indicator for measuring business performance has significance in following terms:
Information usability: This indicator is for reviewing whether the data in the database can be
usefully applied to business and measures usability of the established database, upgrade level of
business or knowledge and distinction of information.
Information accuracy: This indicator is for reviewing whether there is no error in the contents of
the database and measures reliability of search result, conformity of information as demanded,
and contents error occurrence.
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