Customer Investigation Process at Credit Suisse: Meeting the Rising Demands of Regulators

Customer Investigation Process at Credit Suisse: Meeting the Rising Demands of Regulators

Daniel Maier (Credit Suisse, Switzerland), Thomas Muegeli (Credit Suisse, Switzerland) and Andrea Krejza (Credit Suisse, Switzerland)
DOI: 10.4018/978-1-59904-420-0.ch003
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Abstract

Customer investigations in the banking industry are carried out in connection with prosecutions, the administration of estates or other legal actions. The Investigation & Inquiries department of Credit Suisse has to handle approximately 5,000 client investigations per year. To date, the investigation process has been very complex, time consuming and expensive: several redundant query processes are needed to achieve satisfactory results. In the past few years, new regulatory requirements have led to a massive increase in the number of investigations to be performed. This case study describes how these requirements can be met by redesigning the process and building a data-warehouse-based application that automates most of the process. These two measures have significantly improved the customer investigation process, resulting in considerable cost and time savings for Credit Suisse

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Table of Contents
Foreword
Andy Koronios
Acknowledgments
Chapter 1
Eric Infield, Laura Sebastian-Coleman
This paper is a case study of the data quality program implemented for Galaxy, a large health care data warehouse owned by UnitedHealth Group and... Sample PDF
Galaxy's Data Quality Program: A Case Study
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Chapter 2
Latif Al-Hakim
This research maps the information quality (IQ) process and finds that the control constituent of the process comprises two types of factors: IQ... Sample PDF
Information Quality Function Deployment
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Chapter 3
Daniel Maier, Thomas Muegeli, Andrea Krejza
Customer investigations in the banking industry are carried out in connection with prosecutions, the administration of estates or other legal... Sample PDF
Customer Investigation Process at Credit Suisse: Meeting the Rising Demands of Regulators
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Chapter 4
Elizabeth M. Pierce
This chapter demonstrates how conjoint analysis can be used to improve the design and delivery of mass consumer information products. Conjoint... Sample PDF
Assessing Mass Consumer Information Quality Requirements Using Conjoint Analysis
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Chapter 5
Kimberly D. Hess, John R. Talburt
An introduction to name knowledge and its application to information quality assessments through an expert system is discussed in this chapter. The... Sample PDF
Applying Name Knowledge to Information Qualtiy Assessments
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Chapter 6
Felix Naumann, Mary Roth
Commercial database management systems (DBMS) have come a long way with respect to efficiency and more recently, with respect to quality and user... Sample PDF
Information Quality: How Good ar Off-the-shelf DBMs
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Chapter 7
Jon R. Wright, Gregg T. Vesonder, Tamraparni Dasu
In an enterprise setting, a major challenge for any data mining operation is managing data streams or feeds, both data and metadata, to ensure a... Sample PDF
Management of Data Streams for Large-Scale Data Mining
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Chapter 8
Besiki Stvilia, Les Gasser, Michael B. Twidale
This chapter presents results from our empirical studies of metadata quality in large corpuses of metadata harvested under Open Archives Initiative... Sample PDF
Metadata Quality Problems in Federated Collections
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Chapter 9
Helinä Melkas
In this chapter, a novel framework is introduced for analyzing information quality within information processes of complex organizational networks... Sample PDF
Analyzing Information Quality in Virtual Networks of the Services Sector with Qualitative Interview Data
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Chapter 10
Mikhaila S.E. Burgess, W. Alex Gray, Nick J. Fiddium
This chapter discusses the proposal for using quality criteria to facilitate information searching. It suggests that the information consumer can be... Sample PDF
Qualtiy Measures and the Information Consumer
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Chapter 11
Monica Bobrowski, Sabrina Soler
Data plays a critical role in organizations up to the point of being considered a competitive advantage. However, the quality of the organizations’... Sample PDF
DQ Options: Evaluating Data Quality Projects Using Real Options
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Chapter 12
Zbigniew J. Gackowski
This chapter presents a logical technology-independent fully content-focused inquiry into the operations quality problems of any symbolic... Sample PDF
Purpose-Focused View of Information Quality: Telelogical Operations Research-Based Approach
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About the Authors