Assuring data quality for ERP implementation: Part 2-comprehending the evolving picture

Peter Aiken; Chris Metz; Anthony Berta; Bill Finkel; Tracy Skalak; Bob Stanley; Susan Carter; Graham Blevins; John Sells; John McKeon; Debi Crockett; David Rafner; Diane Hara; Jennifer Farris

Assuring data quality for ERP implementation: Part 2-comprehending the evolving picture

Peter Aiken, Chris Metz, Anthony Berta, Bill Finkel, Tracy Skalak, Bob Stanley, Susan Carter, Graham Blevins, John Sells, John McKeon, Debi Crockett, David Rafner, Diane Hara, Jennifer Farris

Industrial Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

Presenting results subsequent to those presented at the 2003 ICIQ Conference, we describe how our team-based approach to addressing legacy data quality has necessarily evolved over a multi-year period. Developed as a team by the government in conjunction with a research institute, an initial task has evolved considerably over the ensuing years. A "data quality challenge" associated with DoD/DLA's migration from SAMMS to SAP, has now evolved through six distinct phases. Tangible savings and results have been documented. Perhaps more useful are the lessons learned over the multiple project years as we collectively reached improved understandings of the problem nature and its implications. These involve evolving and maturing our understanding and approach to data quality by adding a structure-orientation to what had been addressed as a practice-oriented data quality challenge. Earlier recognition would have permitted additional savings to be realized.

Original language	English
State	Published - 2006
Event	11th International Conference on Information Quality, ICIQ 2006 - Cambridge, MA, United States Duration: Nov 10 2006 → Nov 12 2006

Conference

Conference	11th International Conference on Information Quality, ICIQ 2006
Country/Territory	United States
City	Cambridge, MA
Period	11/10/06 → 11/12/06

Keywords

(E) Data (m) Misc. [12]; Data Quality
Business systems modernization
Converting non-tabular to tabular data
DLA
ERP
Information Quality
Legacy system migration
Logistics
SAMMS
SAP
Unstructured and structured data

Cite this

Aiken, P., Metz, C., Berta, A., Finkel, B., Skalak, T., Stanley, B., Carter, S., Blevins, G., Sells, J., McKeon, J., Crockett, D., Rafner, D., Hara, D., & Farris, J. (2006). Assuring data quality for ERP implementation: Part 2-comprehending the evolving picture. Paper presented at 11th International Conference on Information Quality, ICIQ 2006, Cambridge, MA, United States.

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abstract = "Presenting results subsequent to those presented at the 2003 ICIQ Conference, we describe how our team-based approach to addressing legacy data quality has necessarily evolved over a multi-year period. Developed as a team by the government in conjunction with a research institute, an initial task has evolved considerably over the ensuing years. A {"}data quality challenge{"} associated with DoD/DLA's migration from SAMMS to SAP, has now evolved through six distinct phases. Tangible savings and results have been documented. Perhaps more useful are the lessons learned over the multiple project years as we collectively reached improved understandings of the problem nature and its implications. These involve evolving and maturing our understanding and approach to data quality by adding a structure-orientation to what had been addressed as a practice-oriented data quality challenge. Earlier recognition would have permitted additional savings to be realized.",

keywords = "(E) Data (m) Misc. [12]; Data Quality, Business systems modernization, Converting non-tabular to tabular data, DLA, ERP, Information Quality, Legacy system migration, Logistics, SAMMS, SAP, Unstructured and structured data",

author = "Peter Aiken and Chris Metz and Anthony Berta and Bill Finkel and Tracy Skalak and Bob Stanley and Susan Carter and Graham Blevins and John Sells and John McKeon and Debi Crockett and David Rafner and Diane Hara and Jennifer Farris",

year = "2006",

language = "English",

note = "11th International Conference on Information Quality, ICIQ 2006 ; Conference date: 10-11-2006 Through 12-11-2006",

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Aiken, P, Metz, C, Berta, A, Finkel, B, Skalak, T, Stanley, B, Carter, S, Blevins, G, Sells, J, McKeon, J, Crockett, D, Rafner, D, Hara, D & Farris, J 2006, 'Assuring data quality for ERP implementation: Part 2-comprehending the evolving picture', Paper presented at 11th International Conference on Information Quality, ICIQ 2006, Cambridge, MA, United States, 11/10/06 - 11/12/06.

TY - CONF

T1 - Assuring data quality for ERP implementation

T2 - 11th International Conference on Information Quality, ICIQ 2006

AU - Aiken, Peter

AU - Metz, Chris

AU - Berta, Anthony

AU - Finkel, Bill

AU - Skalak, Tracy

AU - Stanley, Bob

AU - Carter, Susan

AU - Blevins, Graham

AU - Sells, John

AU - McKeon, John

AU - Crockett, Debi

AU - Rafner, David

AU - Hara, Diane

AU - Farris, Jennifer

PY - 2006

Y1 - 2006

N2 - Presenting results subsequent to those presented at the 2003 ICIQ Conference, we describe how our team-based approach to addressing legacy data quality has necessarily evolved over a multi-year period. Developed as a team by the government in conjunction with a research institute, an initial task has evolved considerably over the ensuing years. A "data quality challenge" associated with DoD/DLA's migration from SAMMS to SAP, has now evolved through six distinct phases. Tangible savings and results have been documented. Perhaps more useful are the lessons learned over the multiple project years as we collectively reached improved understandings of the problem nature and its implications. These involve evolving and maturing our understanding and approach to data quality by adding a structure-orientation to what had been addressed as a practice-oriented data quality challenge. Earlier recognition would have permitted additional savings to be realized.

AB - Presenting results subsequent to those presented at the 2003 ICIQ Conference, we describe how our team-based approach to addressing legacy data quality has necessarily evolved over a multi-year period. Developed as a team by the government in conjunction with a research institute, an initial task has evolved considerably over the ensuing years. A "data quality challenge" associated with DoD/DLA's migration from SAMMS to SAP, has now evolved through six distinct phases. Tangible savings and results have been documented. Perhaps more useful are the lessons learned over the multiple project years as we collectively reached improved understandings of the problem nature and its implications. These involve evolving and maturing our understanding and approach to data quality by adding a structure-orientation to what had been addressed as a practice-oriented data quality challenge. Earlier recognition would have permitted additional savings to be realized.

KW - (E) Data (m) Misc. [12]; Data Quality

KW - Business systems modernization

KW - Converting non-tabular to tabular data

KW - DLA

KW - ERP

KW - Information Quality

KW - Legacy system migration

KW - Logistics

KW - SAMMS

KW - SAP

KW - Unstructured and structured data

UR - http://www.scopus.com/inward/record.url?scp=84871540577&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84871540577

Y2 - 10 November 2006 through 12 November 2006

ER -

Assuring data quality for ERP implementation: Part 2-comprehending the evolving picture

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