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An industrial engineering perspective of business intelligence

Thesis (PhD (Industrial Engineering))--University of Pretoria, 2006.

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Other Authors: Claasen, S.J. (Schalk Johannes)
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Claasen, S.J. (Schalk Johannes)
author_browse Claasen, S.J. (Schalk Johannes)
author_facet Claasen, S.J. (Schalk Johannes)
collection Thesis
dc_rights_str_mv © 2004, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD (Industrial Engineering))--University of Pretoria, 2006.
format Thesis
id oai:repository.up.ac.za:2263/24755
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:38:14.452Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/24755 An industrial engineering perspective of business intelligence Claasen, S.J. (Schalk Johannes) Kruger, P.S. (Paul Stephanus), 1944- pieter.conradie@up.ac.za Conradie, Pieter Jacobus Enterprise modelling Business process management Strategy map Balanced scorecard Strategy alignment Business intelligence Performance management Value chain Data warehouse Dimensional modelling Key performance indicators UCTD Thesis (PhD (Industrial Engineering))--University of Pretoria, 2006. In this thesis the candidate explores the apparent gaps between strategy development and strategy implementation (the strategy alignment question), and between business end-user needs and the suppliers of information technology (IT) related products and services. With business intelligence (BI) emerging as one of the fastest growing fields in IT, the candidate develops a conceptual model in which BI is placed into context with other relevant subjects such as strategy development, enterprise architecture and modelling and performance measurement. The emphasis is on the development of processes and templates that support a closed loop control system with the following process steps: - A business strategy is defined. - The implication of the strategy on business processes, supporting IT resources and organizational structure is formally documented according to enterprise architecture principles. - This documented blueprint of the organization helps to implement the selected business strategy. - A performance measurement system is developed and supported by a well-designed data warehouse. - On a regular basis the measurements that were defined to support the implementation of the strategy, together with information from the external environment are interpreted and this analysis leads to either a new strategy, or refinement of the implementation of the existing strategy. Both options may lead to changes in the enterprise architecture, the execution of business processes and/or the performance measurement system. Some of the individual components of the model are supported by existing theories, for example the Zachman Framework for enterprise architecture and the Balanced Scorecard from Kaplan and Norton. The contribution of the author was to position them in the bigger picture to indicate how they can add value with regard to the establishment of business intelligence in organizations. Instead of packaging existing ideas slightly differently under a new name, the author intentionally searched for existing theories to fulfil certain requirements in the Bigger Picture BI Context Model. Apart from a set of templates that were adapted from various other sources and packaged into practical formats that can be used during facilitation sessions, the author has also developed and described the Fourier Model and the Pots of Money Model. The Fourier Model is a powerful conceptual model that helps a business to package solutions for market related requirements through selections of previously defined building blocks (technical components) that can be delivered through various business entities, depending on the requirements of the opportunity. The Pots of Money Model is a quantitative model embedded in a spreadsheet format to illustrate and communicate the effect of spending decisions in one area of the business on other areas. The candidate demonstrates the Bigger Picture BI Context Model in several case studies. The thesis is accompanied by a CD ROM, which contains over 700 references to relevant literature (most of them available in full text) and links to internet web sites, as well as examples of the software templates that support some of the steps in the context model. The following figure depicts the conceptual model in schematic format: (See figure in the abstract of 00front) Industrial and Systems Engineering unrestricted 2013-09-06T18:16:59Z 2005-05-17 2013-09-06T18:16:59Z 2004-10-08 2006-05-17 2005-05-17 Thesis Conradie, P 2004, An industrial engineering perspective of business intelligence, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/24755 > http://hdl.handle.net/2263/24755 http://upetd.up.ac.za/thesis/available/etd-05172005-110119/ © 2004, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf University of Pretoria
spellingShingle Enterprise modelling
Business process management
Strategy map
Balanced scorecard
Strategy alignment
Business intelligence
Performance management
Value chain
Data warehouse
Dimensional modelling
Key performance indicators
UCTD
An industrial engineering perspective of business intelligence
title An industrial engineering perspective of business intelligence
title_full An industrial engineering perspective of business intelligence
title_fullStr An industrial engineering perspective of business intelligence
title_full_unstemmed An industrial engineering perspective of business intelligence
title_short An industrial engineering perspective of business intelligence
title_sort industrial engineering perspective of business intelligence
topic Enterprise modelling
Business process management
Strategy map
Balanced scorecard
Strategy alignment
Business intelligence
Performance management
Value chain
Data warehouse
Dimensional modelling
Key performance indicators
UCTD
url http://hdl.handle.net/2263/24755
http://upetd.up.ac.za/thesis/available/etd-05172005-110119/