Explanation of exceptional values in multi-dimensional business databases

Emiel Caron

Explanation of exceptional values in multi-dimensional business databases

Research output: Thesis › Doctoral Thesis

Abstract

Multidimensional databases or OnLine Analytical Processing (OLAP) databases are a popular business intelligence technique in the fieeld of business information systems for analytics and decision support. Multi-dimensional databases are capable of capturing the structure of business data in the form of multi-dimensional tables which are also known as data cubes. Manipulation and presentation of information through interactive multi-dimensional tables and graphical displays provide important support for the business decision-maker. The main goal of this dissertation is to extend the functionality of multi-dimensional business databases with diagnostic capabilities
to support managerial decision-making". In this dissertation, the OLAP database
is indeed extended with novel functionality for the detection of exceptional values, explanation generation, and sensitivity analysis. The purpose of the methods and algorithms presented here, is to provide OLAP databases with more powerful explanatory analytics and reporting functions.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Rotterdam School of Management (RSM)
Supervisors/Advisors	Daniels, Hennie, Promotor Hendrikse, G.W.J., Promotor, External person
Award date	14 Nov 2013
Place of Publication	Rotterdam
Publisher	Rotterdam School of Management (RSM), Erasmus University Rotterdam (EUR)
Print ISBNs	978-90-5892-345-5
Publication status	Published - 2013
Externally published	Yes

Keywords

Business Intelligence
Business Analytics

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http://repub.eur.nl/pub/50005

Cite this

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title = "Explanation of exceptional values in multi-dimensional business databases",

abstract = "Multidimensional databases or OnLine Analytical Processing (OLAP) databases are a popular business intelligence technique in the fieeld of business information systems for analytics and decision support. Multi-dimensional databases are capable of capturing the structure of business data in the form of multi-dimensional tables which are also known as data cubes. Manipulation and presentation of information through interactive multi-dimensional tables and graphical displays provide important support for the business decision-maker. The main goal of this dissertation is to extend the functionality of multi-dimensional business databases with diagnostic capabilitiesto support managerial decision-making{"}. In this dissertation, the OLAP databaseis indeed extended with novel functionality for the detection of exceptional values, explanation generation, and sensitivity analysis. The purpose of the methods and algorithms presented here, is to provide OLAP databases with more powerful explanatory analytics and reporting functions.",

keywords = "Business Intelligence, Business Analytics",

author = "Emiel Caron",

note = "Erasmus Research Institute of Management (PhD Series 296)",

year = "2013",

language = "English",

isbn = "978-90-5892-345-5",

publisher = "Rotterdam School of Management (RSM), Erasmus University Rotterdam (EUR)",

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TY - BOOK

T1 - Explanation of exceptional values in multi-dimensional business databases

AU - Caron, Emiel

N1 - Erasmus Research Institute of Management (PhD Series 296)

PY - 2013

Y1 - 2013

N2 - Multidimensional databases or OnLine Analytical Processing (OLAP) databases are a popular business intelligence technique in the fieeld of business information systems for analytics and decision support. Multi-dimensional databases are capable of capturing the structure of business data in the form of multi-dimensional tables which are also known as data cubes. Manipulation and presentation of information through interactive multi-dimensional tables and graphical displays provide important support for the business decision-maker. The main goal of this dissertation is to extend the functionality of multi-dimensional business databases with diagnostic capabilitiesto support managerial decision-making". In this dissertation, the OLAP databaseis indeed extended with novel functionality for the detection of exceptional values, explanation generation, and sensitivity analysis. The purpose of the methods and algorithms presented here, is to provide OLAP databases with more powerful explanatory analytics and reporting functions.

AB - Multidimensional databases or OnLine Analytical Processing (OLAP) databases are a popular business intelligence technique in the fieeld of business information systems for analytics and decision support. Multi-dimensional databases are capable of capturing the structure of business data in the form of multi-dimensional tables which are also known as data cubes. Manipulation and presentation of information through interactive multi-dimensional tables and graphical displays provide important support for the business decision-maker. The main goal of this dissertation is to extend the functionality of multi-dimensional business databases with diagnostic capabilitiesto support managerial decision-making". In this dissertation, the OLAP databaseis indeed extended with novel functionality for the detection of exceptional values, explanation generation, and sensitivity analysis. The purpose of the methods and algorithms presented here, is to provide OLAP databases with more powerful explanatory analytics and reporting functions.

KW - Business Intelligence

KW - Business Analytics

M3 - Doctoral Thesis

SN - 978-90-5892-345-5

PB - Rotterdam School of Management (RSM), Erasmus University Rotterdam (EUR)

CY - Rotterdam

ER -

Explanation of exceptional values in multi-dimensional business databases

Abstract

Keywords

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