Sample IBM Entity Analytics Marketing Collateral for Retail Industry

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Information about Sample IBM Entity Analytics Marketing Collateral for Retail Industry
Marketing

Published on March 1, 2014

Author: CoryShieldsCISSPMBA

Source: slideshare.net

Description

At the forefront of the identity analytics development in the mid-2000s, sales reps were required to build much of their own marketing collateral. This is a sample of my collateral using sanitized, non-proprietary data.

S A M P L E N O T C O N F I D E N T I A L S A M P L E N O T C O N F I D E N T I A L Entity Analytic Solutions Benefits for Organized Retail Crime 1 Entity Analytic Solutions: Identity Resolution and Relationship Resolution In June of 2005, at Customer’s invitation, IBM completed an Entity Analytic Solutions (EAS) proof of concept using more than 12-million records of Customer associate, claims, vendor, and offender data. EAS processes data from disparate sources to identify “non-obvious” relationships between identities and to issue alerts of fraudulent activities or claims, reveal networks of collusion and organized crime, improve hiring decisions, improve target marketing, etc. EAS Identity Resolution provides unparalleled capability to answer in real-time the question, “Who is who?” EAS Relationship Resolution provides real-time detection and alerting of relationships up to 30-degrees of separation, answering the question, “Who knows who?” EAS becomes more accurate with more identifiable information, self-corrects, maintains all contexts, and scales to beyond the US population. Organized Retail Crime Costs Projected 2006-2007 Two-year Total Organized Retail Crime Costs Projected Wal-Mart Organized Retail Crime Shrink ProjectedCustomer OrganizedRetail Crime Shrink $3,000,000,000 $3,000,000,000 $2,500,000,000 $2,500,000,000 $2,000,000,000 $2,000,000,000 $1,500,000,000 $1,500,000,000 $1,000,000,000 $1,000,000,000 $1.5 billion “…according to an estimate from the Federal Bureau of Investigation, losses from organized retail theft have reached as much as $30 billion.” -The New York Times $500,000,000 $500,000,000 $0 2006 Projected Total Shrink Projected Total Shrink 2007 Projected Organized Retal Crime Projected Organized Retal Crime During the proof of concept, EAS discovered associates and offenders (known thieves) with relationships to internal offenders, external offenders, and known organized crime rings; and, of the 202,000 total offender alerts issued, more than 41% involve relationships with other offenders. Entity Analytic Solutions: Customer Offender Data Proof of Concept Key Findings Key Findings • • 84,999 alerts of Offenders related to past and present Associates • 98 alerts of Internal Offenders related to active Vendors—fired for theft then invited back into Customer as a vendor • 4,655 alerts of Internal Offenders related to other Offenders • 1 6,651 alerts of Offenders related to active Associates 92,581 alerts of External Offenders related to other Offenders Detailed ROI and examples using Customer and retail industry data are available separately. IBM Entity Analytic Solutions Benefits for Organized Retail Crime 1/14/2010

S A M P L E N O T C O N F I D E N T I A L S A M P L E N O T C O N F I D E N T I A L Selected Examples of Alerts from the EAS Proof of Concept with Customer Data and Retail Industry Findings • Eight members of the Ghali crime-organization were indicted for Organized Retail Crimes, including returned merchandise fraud. EAS identified two of the eight within Customer’s Claims and External Offender data sources—Stephanie and Denise Ghali. Plus, EAS discovered relationships with two other External Offenders—Omar and Addan Ghali. • Cynda Bryor was caught shoplifting on 07/27/1998 and is related to shoplifters: Jaquay Bryor (07/27/1998), Kenan Bryor (01/16/1999, and Becky Sith (08/29/2001). • At a large electronics retailer, EAS discovered over 5,000 active customers involved with more than $6.5M in organized retail crime. Entity Analytic Solutions: Projected Return on Investment2 The analysis from the proof of concept sample indicates deploying EAS would enable Customer to resolve identities and issue real-time alerts that an employment applicant has previously stolen from Customer, has a history of filing injury claims, has filed fraudulent claims, is a known sex-offender, or is a wanted person3. CustomerSavings/Cost for EAS Deployment Wal-Mart Savings/Cost for EAS Deployment $40,000,000 $40,000,000 $35,000,000 $35,000,000 $30,000,000 $30,000,000 $25,000,000 $25,000,000 $20,000,000 $20,000,000 $15,000,000 $15,000,000 $10,000,000 $10,000,000 $5,000,000 $5,000,000 The following ROI projections for an end$0 to-end deployment of EAS at Customer 2006 2007 are based on Customer’s 2005 Annual Projected Organized Retail Crime Savings of EAS Deployment Projected Organized Retail Crime Savings Cost of EAS Deployment Report; data provided from Customer Loss Prevention IT associates; retail publications on organized retail crime, shrink, injury claims fraud; and, results from the EAS proof of concept using Customer data. Projected 2006-2007 Two-year EAS Organized Retail Crime Savings 2006 Projected Organized Retail Crime Savings 2007 Projected Organized Retail Crime Savings Total Projected Organized Retail Crime Savings Projected 2006-2007 Two-year EAS Deployment Costs Initial License, Deployment, and Configuration Costs Ongoing Administration and Maintenance Costs Total Projected Costs Two-year Return on Investment in Net Present Value (8%) 2 $34.6 million $38.5 million $73.1 million $14.6 million $2.6 million $17.2 million 409% A detailed ROI projection document is available separately. Customer may acquire third-party data to be analyzed by EAS in order to identify relationships between entities beyond Customer’s data set. 3 IBM Entity Analytic Solutions Benefits for Organized Retail Crime 1/14/2010

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