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

Authors:
Inna Kolyshkina;Simeon Simoff
Affiliations:
Institute of Analytics Professionals of Australia, Surry Hills, NSW;University of Western Sydney, NSW, Australia
Venue:
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Year:
2007

Citing 7
Cited 0

Data preparation for data mining

Data preparation for data mining
Microsoft Project 2000 Step by Step with CD-ROM

Microsoft Project 2000 Step by Step with CD-ROM
Mining Very Large Databases

Computer
Detecting Concept Drift with Support Vector Machines

ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques
Strategic Management

Strategic Management
Competing on Analytics: The New Science of Winning

Competing on Analytics: The New Science of Winning

Quantified Score

Hi-index	0.00

Visualization

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.