<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T15:02:51Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/35106" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/35106</identifier><datestamp>2022-01-13T07:55:19Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Daniel Frey.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Nallasivan, Srinivasan</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2006-12-18T20:41:44Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2006</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2006.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 85).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Money laundering is a huge problem that is faced by financial institutions and banks are mandated by the government to have strict policies and procedures towards anti-money laundering reporting. The outcome of a complex investigation process is a Suspicious Activity Report (SAR) which is used by Financial Crimes Enforcement Network (FINCEN) to trace back criminals and to curb the money laundering activities. This thesis work involves developing a quality rating methodology for SAR reporting at the bank and rates the critical elements in determining the quality of a SAR. The results of the quality scoring mechanism have been validated by using Multivariate tools and techniques. Mahalanobis- Taguchi Strategy (MTS) and Principal Component Analysis (PCA) were used to come up with the measurement scale to distinguish the good and bad SARs and PCA was used to list the critical elements that were listed by the MTS approach. The results of the analysis were presented towards the end of the thesis and this methodology can be used to determine the quality rating of SARs.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Srinivasan Nallasivan.</dim:field>
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   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">85 p.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Developing a quality score methodology for financial reporting</dim:field>
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   	&lt;Title>Developing a quality score methodology for financial reporting&lt;/Title>
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   	&lt;Abstract>Money laundering is a huge problem that is faced by financial institutions and banks are mandated by the government to have strict policies and procedures towards anti-money laundering reporting. The outcome of a complex investigation process is a Suspicious Activity Report (SAR) which is used by Financial Crimes Enforcement Network (FINCEN) to trace back criminals and to curb the money laundering activities. This thesis work involves developing a quality rating methodology for SAR reporting at the bank and rates the critical elements in determining the quality of a SAR. The results of the quality scoring mechanism have been validated by using Multivariate tools and techniques. Mahalanobis- Taguchi Strategy (MTS) and Principal Component Analysis (PCA) were used to come up with the measurement scale to distinguish the good and bad SARs and PCA was used to list the critical elements that were listed by the MTS approach. The results of the analysis were presented towards the end of the thesis and this methodology can be used to determine the quality rating of SARs.&lt;/Abstract>
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