Intelligent Classification-Based Methods in Customer Profitability Modeling

Author(s):  
Yeliz Ekinci ◽  
Ekrem Duman
2008 ◽  
Author(s):  
Melchior D Bryant ◽  
Maik Hammerschmidt ◽  
Hans H. Bauer ◽  
Michael Timm

2008 ◽  
Vol 19 (4) ◽  
pp. 63-68 ◽  
Author(s):  
John A. Miller

2002 ◽  
Vol 5 (1) ◽  
pp. 69-76 ◽  
Author(s):  
Barak Libai ◽  
Das Narayandas ◽  
Clive Humby

2017 ◽  
Vol 14 (1) ◽  
pp. 38-59 ◽  
Author(s):  
Matthew Fish ◽  
William Miller ◽  
D’Arcy Becker ◽  
Aimee Pernsteiner

Purpose The purpose of this paper is to examine the role of organizational culture as a company migrates through a four-stage model for designing a performance measurement system (PMS) focused on customer profitability. Design/methodology/approach This is a single-site phenomenological case study, at Growth Spurt Marine Accessories (Growth Spurt), a manufacturing organization headquartered in the USA. Data were collected over a two-year period through interviews with accounting staff, internal company documents and recording observational notes. Findings The paper identifies three major factors that prevented Growth Spurt from transitioning its customer profitability analysis (CPA) reporting package through Kaplan and Cooper’s four-stage model of PMS design: executives exerting their power and spending political capital to prevent implementation without providing rationale, executives believing that the allocation methods were too subjective and executives relying on their own intuition in analyzing customer profitability rather than relying on data. These factors suggest that organizational culture plays an important role in migrating a customer-focused profitability PMS through Kaplan and Cooper’s four-stage model of PMS system design. Research limitations/implications The findings suggest that a PMS focused on customer profitability that does not advance beyond Stage II (financial reporting-driven) may still suit the needs of an organization. Additionally, managers should advocate for a multidisciplinary PMS design and implementation team to minimize potentially adverse effects of organizational culture. Originality/value This paper is unique because it applies Kaplan and Cooper’s four-stage model for PMS design to CPA and it uses a phenomenological case approach to explore impediments to a comprehensive CPA implementation.


2015 ◽  
Vol 29 (3) ◽  
pp. 151-164 ◽  
Author(s):  
Matthew D. Pickard ◽  
Gary Cokins

ABSTRACT Extensive data mining and analytics (DM&A) are increasingly requisite for companies to be competitive in this age of information. This demand, combined with (1) accountants' reputation for understanding and generating quality data, and (2) the increased accessibility of DM&A tools, has created a unique opportunity for accountants to play a larger strategic role in their organization. We argue that accountants should own and drive a larger part of the DM&A that occurs in their organization. To support this vision, we introduce a data mining technique called recursive partitioning. We illustrate how it can be applied to a large customer costing and profit dataset to identify the characteristics that differentiate more and less profitable customers. We discuss how the output of the recursive partitioning algorithm (a binary decision tree) can be used to increase customer profitability and identify future profitable customers. We conclude by suggesting and discussing some of the obstacles and research opportunities that this vision presents to the accounting field.


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