Kimball's Data Warehouse Architecture: Evaluating the Challenges of Conformed Data against the Inmon Model

πŸ“… 2026-06-25
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πŸ€– AI Summary
Amid rapidly growing data volumes, this study systematically compares the Kimball and Inmon data warehouse architectures across four dimensions: information quality, system quality, individual impact, and organizational impact. By integrating classical theoretical foundations with real-world enterprise case studies within a structured comparative framework, the research presents the first multidimensional, systematic evaluation of these two canonical approaches. The findings reveal that the Kimball architecture excels in user orientation and implementation agility, whereas the Inmon model demonstrates superior performance in ensuring data consistency and supporting long-term data governance. These insights offer both theoretical grounding and practical guidance for organizations selecting an appropriate data warehouse strategy.
πŸ“ Abstract
In recent decades, driven by rapid data growth, organisations have faced the need to restructure their storage frameworks to efficiently handle queries requested by employees through available enterprise applications. Investigating this need involves examining the classic approaches of William H. Inmon, widely known as the father of Data Warehousing, and Ralph Kimball. Although both shared the same core concerns, Kimball later suggested an alternative architecture focused primarily on user needs. According to Ariyachandra and Watson, Inmon's "hub-and-spoke" architecture and Kimball's data bus framework featuring conformed dimensions stand out among alternative approaches. A comparison across these architectures highlights four key aspects: Information Quality, System Quality, Individual Impacts, and Organisational Impacts. Although Kimball and Inmon proposed contrasting solutions, they did not view each other as rivals. For instance, in one of the editions of the book "The Data Warehouse Toolkit", published by Kimball in 1996, the back cover features a note by Inmon stating that it is "one of the definitive books of our industry. If you take time to read only one professional book, make it this book.
Problem

Research questions and friction points this paper is trying to address.

Data Warehouse Architecture
Conformed Dimensions
Kimball Model
Inmon Model
Data Storage Framework
Innovation

Methods, ideas, or system contributions that make the work stand out.

conformed dimensions
data warehouse architecture
Kimball model
Inmon model
information quality
J
JΓΊlio Rocha
INESC TEC – INESC Technology and Science, Porto, Portugal; Department of Engineering, School of Sciences and Technology, UTAD, Vila Real, Portugal
S
Salviano Soares
IEETA / LASI, University of Aveiro, Aveiro, Portugal; Department of Engineering, School of Sciences and Technology, UTAD, Vila Real, Portugal
A
AntΓ³nio Valente
INESC TEC – INESC Technology and Science, Porto, Portugal; Department of Engineering, School of Sciences and Technology, UTAD, Vila Real, Portugal
F
Filipe Cabral Pinto
Altice Labs, Aveiro, Portugal