Date of Award
3-18-2009
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Operational Sciences
First Advisor
Jeffrey A. Ogden, PhD
Abstract
In response to the Expeditionary Logistics for the 21st Century (eLog21) campaign initiatives published in 2003, the United States Air Force (USAF) pursued the acquisition of technology to help transform its logistics processes. With process mapping complete and a proposed roll-out schedule, forward progress towards full implementation of the Expeditionary Combat Support System (ECSS) continues. As a key enabler to achieving eLog21 initiatives, implementing ECSS will help transform current USAF logistics business processes. Integrating more than 450 legacy systems, and with a projected end-state in excess of 750,000 primary, secondary, and tertiary users, ECSS is the largest enterprise resource planning (ERP) system implementation in the world. While the driving force behind an ERP system implementation is exploitation of the numerous benefits associated with transforming business processes, there are several key challenges to address which can mean the difference between success and failure. Data quality is one critical factor in the successful implementation of any ERP system. It is a key to optimizing system performance while maintaining an uninterrupted and acceptable level of support to the war fighter. This research evaluates data quality, focusing on the completeness and consistency of the data, in selected USAF legacy systems. Specifically, this study identifies invalid entries in the source data and also compares item record data between source (D043A) and downstream client (SBSS). This analysis lays the foundation for developing an action plan to allocate resources in an efficient and effective manner to support cleansing the legacy system data prior to migration into ECSS.
AFIT Designator
AFIT-GLM-ENS-09-07
DTIC Accession Number
ADA502559
Recommended Citation
Lane, Craig A., "Data Quality-A Key to Successfully Implementing ECSS" (2009). Theses and Dissertations. 2606.
https://scholar.afit.edu/etd/2606