Customer analytics projects : addressing existing problems with a process that leads to success

Inna Kolyshkina; Simeon J. Simoff; Peter Christen

Customer analytics projects : addressing existing problems with a process that leads to success

Inna Kolyshkina, Simeon J. Simoff, Peter Christen

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

This article explicitly outlines an approach designed to allow optimal utilisation of Analytics in the industry setting. The paper focuses on the key stages of the Analytics process that have not been identified in previous Analytics methodologies and draws on industry, consulting and research experience to show that correct design of the project trajectory can allow the industry to fully realise the benefits that Analytics has to offer. As the case studies provided demonstrate, it is often the skipping of key stages, especially the preliminary analysis stage, that are currently responsible for preventing success of an Analytics project. It has been shown how, using the outlined approach, project can achieve maximum effectiveness and business buy-in.

Original language	English
Title of host publication	Data Mining and Analytics 2007 : Proceedings of the Sixth Australian Data Mining Conference (AusDM2007), Gold Coast, Australia, 3-4 December, 2007
Publisher	Australian Computer Society
Number of pages	7
ISBN (Print)	9781920682514
Publication status	Published - 2007
Event	Australian Data Mining Conference - Duration: 1 Jan 2007 → …

Conference

Conference	Australian Data Mining Conference
Period	1/01/07 → …

Keywords

decision making
business analytics
industries
data mining
management

Cite this

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title = "Customer analytics projects : addressing existing problems with a process that leads to success",

abstract = "This article explicitly outlines an approach designed to allow optimal utilisation of Analytics in the industry setting. The paper focuses on the key stages of the Analytics process that have not been identified in previous Analytics methodologies and draws on industry, consulting and research experience to show that correct design of the project trajectory can allow the industry to fully realise the benefits that Analytics has to offer. As the case studies provided demonstrate, it is often the skipping of key stages, especially the preliminary analysis stage, that are currently responsible for preventing success of an Analytics project. It has been shown how, using the outlined approach, project can achieve maximum effectiveness and business buy-in.",

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author = "Inna Kolyshkina and Simoff, {Simeon J.} and Peter Christen",

year = "2007",

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booktitle = "Data Mining and Analytics 2007 : Proceedings of the Sixth Australian Data Mining Conference (AusDM2007), Gold Coast, Australia, 3-4 December, 2007",

publisher = "Australian Computer Society",

note = "Australian Data Mining Conference ; Conference date: 01-01-2007",

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Customer analytics projects : addressing existing problems with a process that leads to success. / Kolyshkina, Inna; Simoff, Simeon J.; Christen, Peter.
Data Mining and Analytics 2007 : Proceedings of the Sixth Australian Data Mining Conference (AusDM2007), Gold Coast, Australia, 3-4 December, 2007. Australian Computer Society, 2007.

Research output: Chapter in Book / Conference Paper › Conference Paper

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AU - Simoff, Simeon J.

AU - Christen, Peter

PY - 2007

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N2 - This article explicitly outlines an approach designed to allow optimal utilisation of Analytics in the industry setting. The paper focuses on the key stages of the Analytics process that have not been identified in previous Analytics methodologies and draws on industry, consulting and research experience to show that correct design of the project trajectory can allow the industry to fully realise the benefits that Analytics has to offer. As the case studies provided demonstrate, it is often the skipping of key stages, especially the preliminary analysis stage, that are currently responsible for preventing success of an Analytics project. It has been shown how, using the outlined approach, project can achieve maximum effectiveness and business buy-in.

AB - This article explicitly outlines an approach designed to allow optimal utilisation of Analytics in the industry setting. The paper focuses on the key stages of the Analytics process that have not been identified in previous Analytics methodologies and draws on industry, consulting and research experience to show that correct design of the project trajectory can allow the industry to fully realise the benefits that Analytics has to offer. As the case studies provided demonstrate, it is often the skipping of key stages, especially the preliminary analysis stage, that are currently responsible for preventing success of an Analytics project. It has been shown how, using the outlined approach, project can achieve maximum effectiveness and business buy-in.

KW - decision making

KW - business analytics

KW - industries

KW - data mining

KW - management

UR - http://handle.uws.edu.au:8081/1959.7/40925

M3 - Conference Paper

SN - 9781920682514

BT - Data Mining and Analytics 2007 : Proceedings of the Sixth Australian Data Mining Conference (AusDM2007), Gold Coast, Australia, 3-4 December, 2007

PB - Australian Computer Society

T2 - Australian Data Mining Conference

Y2 - 1 January 2007

ER -

Customer analytics projects : addressing existing problems with a process that leads to success

Abstract

Conference

Keywords

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