Data warehousing and data quality for a Spatial Decision Support System
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1997
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 207
Description: This research investigates the problems inherent in Decision Support Systems (DSS) that depend on the quality      and accuracy of legacy information as the basis for decision making. A Spatial Decision Support System      (SDSS) was developed at Naval Postgraduate School to analyze the comparative desirability of Army Reserve      Unit locations. The Army Reserve Installation Evaluation System (ARIES) integrates a GIS mapping engine and      a decision model solver in a flexible environment that leverages operational legacy database information for      decision-making. Data quality problems from legacy sources motivated the development of a data migration      plan to transform the source data into an architecture optimized for the ARIES SDSS application. This research      developed a prototype Data Migration Tool (DMT) to extract the relevant source data into a centralized      repository for the SDSS with an acceptable degree of data quality to support SDSS outcomes. Six data quality      attributes were identified: accuracy, completeness, consistency, timeliness, uniqueness, and validity. The ARIES      DMT focused on data validity and developed techniques for measuring and enforcing data validity. The DMT      also specified individual responsibilities for data administration, development of data retrieval routines, and data      quality assessment. Significant system performance enhancements resulted from implementation of the DMT by      leveraging the spatial aspects of the underlying repository through geographic queries that efficiently localized      subsets of the data files. Additional performance enhancements were obtained through the use of data      warehousing techniques.
Notes: Thesis advisors, Daniel R. Dolk, George W. Thomas, and Kathryn Kocher.

Thesis (M.S. in Information Technology Management) Naval Postgraduate School, Sept. 1997.

Includes bibliographical references (p. 203-206)

Also available online.

System requirements: Adobe Acrobat reader.

dk/dk cc:9116 02/19/98.