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1.
Striking gold in the qualitative mine
Jem Wallis and Vanessa Briese, ESOMAR, Consumer Insights, Barcelona, November 2005
This paper proposes a three-step model to understanding the consumer's world beyond the category. It proposes that this more sophisticated approach generates more meaningful and powerful insights for ...
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20 times
2.
Media insights
Shu Akahane, Naoko Katayama and Hiroki Noda, ESOMAR, Media Mix Audience Measurement, LA, June 2003
This paper analyzes respondents’ free answers by utilizing text mining to clarify the influence of the rapid changes in media environment on consumers’ media perceptions.
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22 times
3.
Predictive churn modeling in the wireless industry
Ksenija Draskovic-Krunic, ESOMAR, CRM Conference, Prague, March 2002, pp.171-180
This paper describes a recently completed project at Verizon Wireless that addresses the problem of customer attrition (churn). Outstanding results have been accomplished by combining Data Mining tech ...
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15 times
4.
Better understand your customers!
Alex Nippe and Tom Khabaza, ESOMAR, CRM Conference, Prague, March 2002, pp.59-88
In the modern business world, organisations are increasingly focused on their customers. This paper describes the role of data mining in customer relationship management. Data mining is the 'heart' of ...
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17 times
5.
Making the Most of Customers
Peter Dorrington, Admap, February 2001, Issue 414
Discusses `analytical customer relationship management' (aCRM). CRM requires a total view of customers, but the data needed to support this is often unavailable or scattered over many computer sites a ...
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16 times
6.
Beyond the horizon
Martin Callingham, Admap, April 2000
Business accumulates huge amounts of data in an increasingly short time scale. A holistic approach to this growing mound of data is needed which can look at a business and its problems for all angles ...
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7 times
7.
Data Standardization, Data Warehousing and Data Mining. Could we use them to organise better Research in the Media Area?
ESOMAR, Media Research, Mexico City, October 1998
The paper describes the process of standardization adopted in the last three years by the Center for Information about the Media (CIM) to improve the quality and safety of data exchanges coming from a ...
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3 times
8.
Knowledge not power - Shared knowledge is power. Data mining in desk research
Sabine Graumann, ESOMAR, Power of Knowledge Congress, Berlin September 1998
In the last three to four years, discussion of and interest in the topic of knowledge management in business circles has steadily increased. Since market research institutes are knowledge-intensive co ...
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12 times
9.
Creating competitive intellectual capital. The Henkel case
Hans-Willi Schroiff, ESOMAR, Power of Knowledge Congress, Berlin September 1998
As organizations evolve from multi-domestic to transnational, they need to develop new ways of obtaining, sharing, and acting upon marketing information. The technological advances that led to the 'ma ...
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13 times
10.
Datamining for better knowledge. A case study from the telecommunications industry
Michel Jambu, ESOMAR, Power of Knowledge Congress, Berlin September 1998
This paper describes a way of using datamining techniques to provide more and better information to managers and to help them manipulate information, knowledge and action. With three case studies from ...
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10 times
11.
Data mining for branding
Adam Phillips, Andrea Mezzasalma and Rosemary Ford, ESOMAR, Power of Knowledge Congress, Berlin September 1998
This paper demonstrates the potential power of data mining modern single-source consumer databases. The use of a database containing information collected from young people in several European countri ...
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16 times
12.
Identifying latent dissatisfied customers. Using association rules in customer satisfaction studies
Koen Vanhoof, Gilbert Swinnen, Tom Brijs and Josée Bloemer, ESOMAR, Power of Knowledge Congress, Berlin September 1998
Data mining is the automated search for hidden, previously unknown and interesting knowledge from large databases. This paper describes the use of data mining in the domain of customer satisfaction st ...
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8 times
13.
Data mining vs. conventional analysis. When should we use the new tools?
Luiz Sá Lucas, ESOMAR, Power of Knowledge Congress, Berlin September 1998
The paper performs a comparison of data mining tools with conventional tools. It is focused on the analysis of issues such as if the new techniques are better than the older ones, if so, in which sens ...
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8 times
14.
The search for knowledge. Are we making the best use of available information
Stephan Buck, ESOMAR, Power of Knowledge Congress, Berlin September 1998
A combination of growing prosperity and technological advances has brought a vast increase in complexity to many markets. Inevitably this has had a major impact on market research. Many simple techniq ...
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8 times
15.
Natural language processing. Verbatim text coding and data mining report generation
Yeh Ching-Long and Josef Leung, ESOMAR, Marketing Research, Edinburgh, September 1997
This paper highlights the techniques of natural language processing (NLP) and its applications in survey research, particularly in verbatim text coding and data mining report generation. A prototype s ...
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4 times
16.
What drives consumer choice?
Lynn Driver, Admap, April 1996
This article discusses the type of information that can be accessed via ‘data mining’ in the context of grocery shopping. Data visualisation is one such tool, allowing the user to examine, for instanc ...
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40 times
17.
What do we know about advertising's short-term effects?
Andrew Roberts, Admap, February 1996
This article reviews the evidence for the short-term sales effects of TV advertising, derived from detailed analyses of 21 UK fmcg brands in eight different markets. The analyses are based on disaggre ...
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22 times
18.
Mediagraphics - a guidebook through the media galaxy
R Young and I W Thompson, FIPP Abstracts
This paper describes an investigation to determine whether or not it is possible to segment people by their habits with respect to a total of 98 variables relevant to exposure to media in one form or ...
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20 times
19.
Data fusion and single source surveys
James Rothman, Admap, July 1988
Describes data fusion, its principles, advantages and problems, including whether and when it should be preferred to a single-source survey. The article illustrates how the NRS might be used in fusion ...
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20.
Data preservation: getting the most out of what you have
Gordon A. Wyner, Market Research Abstract from: Marketing Research, Vol 19, No 3, Fall 2007, pp 6-7, (full text not available on WARC.com)
The article discusses the problem of missing data, and suggests a number of ways in which it can be addressed, including a thorough definition of the nature, type and frequency of the missing informat ...
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21.
When and why the background contrast effect emerges: thought engenders meaning by influencing the perception of applicability
Joseph R. Priester, Utpal M. Dholakia and Monique A. Fleming, Market Research Abstract from: Journal of Consumer Research, Vol 31, No 3, December 2004, pp 491-501, (full text not available on WARC.com)
The Background Contrast Effect occurs when the trade-off value between attributes in a first choice influences subsequent choice. In seeking to understand when and why this effect occurs, the authors ...
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22.
Using data mining for customer satisfaction research
Michael S. Garver, Market Research Abstract from: Marketing Research, Vol 14, No 1, Spring 2002, pp 8-12, (full text not available on WARC.com)
The author examines data mining research techniques and explores some still underused applications in customer satisfaction research. Notes that although researchers have increasingly used data mining ...
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23.
Factor analysis and missing data
Wagner A. Kamakara and Michel Wedel, Market Research Abstract from: Journal of Marketing Research, Vol XXXV11, Number 4, November 2000, pp 490-498, (full text not available on WARC.com)
Studies the estimation of factor models and the imputation of missing data, and proposes and approach that provides direct estimates of factor weights. The approach is useful in factor analysis appli ...
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