Source: http://www.google.com/patents/US7707059?dq=6,272,646
Timestamp: 2014-10-20 13:36:45
Document Index: 178480701

Matched Legal Cases: ['Application No. 2003302353', 'Application No. 2003299439', 'Application No. 2003299439', 'Application No. 2003302353', 'Application No. 2003302762', 'Application No. 2003302762', 'Application No. 02784170', 'Application No. 03811852', 'Application No. 2612', 'Application No. 2590', 'Application No. 2612', 'Application No. 2590', 'Application No. 03']

Patent US7707059 - Adaptive marketing using insight driven customer interaction - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign inAdvanced Patent SearchPatentsA system and method for adaptive marketing using insight driven customer interaction. The invention uses a closed-loop process for developing insight that may be used to refine further customer interactions. Results of a first customer interaction such as a marketing campaign are stored in a database....http://www.google.com/patents/US7707059?utm_source=gb-gplus-sharePatent US7707059 - Adaptive marketing using insight driven customer interactionAdvanced Patent SearchPublication numberUS7707059 B2Publication typeGrantApplication numberUS 10/302,395Publication dateApr 27, 2010Filing dateNov 22, 2002Priority dateNov 22, 2002Fee statusPaidAlso published asCA2506899A1, EP1563439A2, US7996253, US20040103017, US20100211456, WO2004055616A2, WO2004055616A8Publication number10302395, 302395, US 7707059 B2, US 7707059B2, US-B2-7707059, US7707059 B2, US7707059B2InventorsKenneth L. Reed, Theodore Ansusinha, Hari S. HariharanOriginal AssigneeAccenture Global Services GmbhExport CitationBiBTeX, EndNote, RefManPatent Citations (50), Non-Patent Citations (65), Referenced by (32), Classifications (22), Legal Events (3) External Links: USPTO, USPTO Assignment, EspacenetAdaptive marketing using insight driven customer interactionUS 7707059 B2Abstract A system and method for adaptive marketing using insight driven customer interaction. The invention uses a closed-loop process for developing insight that may be used to refine further customer interactions. Results of a first customer interaction such as a marketing campaign are stored in a database. The results may be used to retrain predictive models and gain new insights regarding how customers are responding to marketing campaigns. The insights may be used to refine the offers delivered to customers or to extend additional offers in an effort to increase the likelihood that customers will redeem the offers. After each marketing campaign, the results are stored in the database. New and/or modified offers are created based on insights provided by the results of past campaigns. This process may be repeated such that subsequent campaigns are based on insights generated by the predictive models. The insight enables businesses to better target customers with better offers. These offers can be delivered through ensuing marketing campaigns or, through any form of interaction that the business has with the targeted customers.
RELATED APPLICATIONS This application is related to commonly assigned U.S. Pat. No. 7,047,251, issued May 16, 2006, and titled �Standardized Customer Application And Record For Inputting Customer Data Into Analytic Models�, and U.S. patent application Ser. No. 10/302,418, titled �Multi-Dimensional Segmentation For Use In A Customer Interaction�, both filed Nov. 22, 2002, all of which are incorporated herein by reference. This application is also related to commonly assigned co-pending U.S. patent application Ser. No. 10/014,840, filed Oct. 22, 2001, and titled �Real-Time Collaboration and Workflow Management for a Marketing Campaign,� which is incorporated herein by reference.
acct_balance_RIM < 1
view CAR_rtmmax_balance as
select * from CAR_rtmmax_balance where behavior_segment=1 and acct_balance_RTM<1 The view looks just like a table to the user. Because CAR_rtmmax_balance is a view, a query automatically returns the latest values that have been loaded into the database. If the information in the view was stored in a permanent database table (of the same or different name), a special update process would be necessary in order to capture changes made to a base table, txn_table. The optimal configuration for the CAR development is to define is a set of dynamic views of the customer data within the data warehouse. This enhances data integrity in the resulting analytic data set.
Patent CitationsCited PatentFiling datePublication dateApplicantTitleUS5548506Mar 17, 1994Aug 20, 1996Srinivasan; Seshan R.Automated, electronic network based, project management server system, for managing multiple work-groupsUS5659724Nov 6, 1992Aug 19, 1997NcrFor providing an organization for a body of informationUS5712987 *Jun 3, 1994Jan 27, 1998Ncr CorporationInterface and associated bank customer databaseUS5806062Oct 17, 1995Sep 8, 1998Lucent Technologies Inc.Apparatus for processing source informationUS5930764Aug 23, 1996Jul 27, 1999Citibank, N.A.Sales and marketing support system using a customer information databaseUS5963910 *Sep 20, 1996Oct 5, 1999Ulwick; Anthony W.Computer based process for strategy evaluation and optimization based on customer desired outcomes and predictive metricsUS5987466Nov 25, 1997Nov 16, 1999International Business Machines CorporationPresenting web pages with discrete, browser-controlled complexity levelsUS6026397May 22, 1996Feb 15, 2000Electronic Data Systems CorporationData analysis system and methodUS6032125 *Oct 22, 1997Feb 29, 2000Fujitsu LimitedDemand forecasting method, demand forecasting system, and recording mediumUS6064977Jun 19, 1998May 16, 2000International Business Machine CorporationWeb server with integrated scheduling and calendaringUS6073112 *Jul 12, 1999Jun 6, 2000Geerlings; HuibComputer system for merchant communication to customersUS6219680Jun 19, 1998Apr 17, 2001International Business Machines CorporationSystem and method for building a web site for use in E-commerce with user specific pricingUS6223177Nov 19, 1998Apr 24, 2001Involv International CorporationNetwork based groupware systemUS6240441Mar 31, 1997May 29, 2001Sun Microsystems, Inc.Secure event-driven EDI transaction processing using the internetUS6240444Sep 27, 1996May 29, 2001International Business Machines CorporationInternet web page sharingUS6253234Oct 17, 1997Jun 26, 2001International Business Machines CorporationShared web page caching at browsers for an intranetUS6334110Mar 10, 1999Dec 25, 2001Ncr CorporationSystem and method for analyzing customer transactions and interactionsUS6430539 *May 6, 1999Aug 6, 2002Hnc SoftwarePredictive modeling of consumer financial behaviorUS6622125 *Nov 7, 2000Sep 16, 2003International Business Machines CorporationAutomatic sales promotion selection system and methodUS6636862Jul 5, 2001Oct 21, 2003Camo, Inc.Method and system for the dynamic analysis of dataUS6647269 *Jul 5, 2001Nov 11, 2003TelcontarMethod and system for analyzing advertisements delivered to a mobile unitUS6732096Jul 30, 2001May 4, 2004Ncr CorporationOptimizing an aggregate join queryUS6742003Apr 30, 2001May 25, 2004Microsoft CorporationApparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classificationsUS6836773 *Sep 27, 2001Dec 28, 2004Oracle International CorporationEnterprise web mining system and methodUS6839682 *Oct 3, 2000Jan 4, 2005Fair Isaac CorporationPredictive modeling of consumer financial behavior using supervised segmentation and nearest-neighbor matchingUS6862574 *Jul 27, 2000Mar 1, 2005Ncr CorporationMethod for customer segmentation with applications to electronic commerceUS6970882Apr 4, 2002Nov 29, 2005International Business Machines CorporationUnified relational database model for data mining selected model scoring results, model training results where selection is based on metadata included in mining model control tableUS7003476Dec 29, 1999Feb 21, 2006General Electric Capital CorporationMethods and systems for defining targeted marketing campaigns using embedded models and historical dataUS7016936 *May 15, 2001Mar 21, 2006Hewlett-Packard Development Company, L.P.Real time electronic service interaction management system and methodUS7047251Nov 22, 2002May 16, 2006Accenture Global Services, GmbhStandardized customer application and record for inputting customer data into analytic modelsUS7069197Oct 25, 2001Jun 27, 2006Ncr Corp.Factor analysis/retail data mining segmentation in a data mining systemUS7072841 *Apr 29, 1999Jul 4, 2006International Business Machines CorporationMethod for constructing segmentation-based predictive models from data that is particularly well-suited for insurance risk or profitability modeling purposesUS7072848Nov 15, 2001Jul 4, 2006Manugistics, Inc.Promotion pricing system and methodUS7155401 *Jan 7, 1998Dec 26, 2006International Business Machines CorporationAutomatic sales promotion selection system and methodUS7177851 *Nov 9, 2001Feb 13, 2007Affinnova, Inc.Method and apparatus for dynamic, real-time market segmentationUS20010037321 *Feb 28, 2001Nov 1, 2001Vladimir FishmanMethod of building predictive models on transactional dataUS20020038230Sep 24, 2001Mar 28, 2002Li-Wen ChenUser interface and method for analyzing customer behavior based upon event attributesUS20020147599 *Apr 5, 2001Oct 10, 2002International Business Machines CorporationMethod and system for simplifying the use of data mining in domain-specific analytic applications by packaging predefined data mining modelsUS20020169658 *Mar 6, 2002Nov 14, 2002Adler Richard M.System and method for modeling and analyzing strategic business decisionsUS20020194050 *Apr 6, 2001Dec 19, 2002Oumar NabeMethods and systems for supplying customer leads to dealersUS20030009536Jul 6, 2001Jan 9, 2003Portris, Inc.Method and system for collaborative knowledge managementUS20030033194 *Nov 9, 2001Feb 13, 2003Pavilion Technologies, Inc.System and method for on-line training of a non-linear model for use in electronic commerceUS20030130899 *Jan 8, 2002Jul 10, 2003Bruce FergusonSystem and method for historical database training of non-linear models for use in electronic commerceUS20030163343 *Feb 27, 2002Aug 28, 2003International Business Machines CorporationMethod and system for dynamically modifying an electronic campaign based on network activityUS20030195889Apr 4, 2002Oct 16, 2003International Business Machines CorporationUnified relational database model for data miningUS20040039679 *Aug 14, 2002Feb 26, 2004Norton David W.Generation and acceptance of tailored offersUS20040254860May 6, 2004Dec 16, 2004Accenture Global Services Gmbh, A Switzerland CorporationReal-time collaboration and workflow management for a marketing campaignUS20060090171Sep 30, 2004Apr 27, 2006Citrix Systems, Inc.Method and apparatus for virtualizing window informationJP2002140490A Title not availableWO1999054828A1Apr 20, 1999Oct 28, 1999Straight Up Software IncSystem and method for assessing effectiveness of internet marketing campaign* Cited by examinerNon-Patent CitationsReference1(no authors) E.piphany, Inc. Software for the Customer Economy, May 18, 2001, www.epiphany.com, pp. 1-7.2(no authors) Is your dimensional data warehousing expressive? Intelligent enterprise, www.intelligententerprise.com, May 15, 2000 vol. 3-number, pp. 1-4.3(no authors) Is your dimensional data warehousing expressive? Intelligent enterprise, www.intelligententerprise.com, May 15, 2000 vol. 3�number, pp. 1-4.4(no authors) MarketFirst to Integrate Leading Analytic Applications from Business Objects, May 15, 2002, www.businessobjects.com Partners Press Release, pp. 1.5(no authors) RightNow Technologies and MarketFirst Partnership Delivers Complete e-Marketing solutions, Aug. 14, 2001, www.rightnow.com, pp. 1-2.6AdAgent 2.0, Ad Sales Go Real-Time, Karpinski, Richard, InternetWeek, v692, p. 19(1), Dec. 1, 1997, 3 pages.7Andrew Eisenberg et al., SQL standardization: the next steps, Mar. 2000, vol. 29, Issue 1, pp. 63-67.8AU Examination Report issued on Apr. 20, 2007 for AU Application No. 2003302353.9AU Examination Report issued on Apr. 5, 2007 for AU Application No. 2003299439.10AU Examination Report issued on Apr. 8, 2008 for AU Application No. 2003299439.11AU Examination Report issued on Jun. 27, 2008 for AU Application No. 2003302353.12AU Examination Report issued on Mar. 15, 2007 for AU Application No. 2003302762.13AU Examination Report issued on Oct. 1, 2008 for AU Application No. 2003302762.14Becher, Tutorial on E-Commerce and Clickstream Mining, First SIAM International Conference on Data Mining, Apr. 5, 2001, p. 1-84.15Berson et al. "Customer Acquisition and Data Mining," Excerpted from the Book Building Data Mining Applications for CRM 1999, online reprint comprises p. 1-6.16 *Berson, Alex; Smith, Stephen; Thearling, Kurt. "Building Data Mining Applications for CRM". Dec. 22, 1999. McGraw-Hill Companies. Chapter 10. retrieved online from .17 *Berson, Alex; Smith, Stephen; Thearling, Kurt. "Building Data Mining Applications for CRM". Dec. 22, 1999. McGraw-Hill Companies. Chapter 10. retrieved online from <http://www.thearling.com/text/chapter10.htm>.18 *Cabena, Peter; Choi, Hyun Hee; Kim, Il Soo; Otsuka, Shuichi; Reinschmidt, Joerg; Saarenvirta, Gary. "Intelligent Miner for Data Applications Guide". Mar. 1999. IBM Corporation.19CRM Best Practices, CRMTRends.com, Oct. 16, 2002, p. 1-11, retrieved from web.archive.org, http://www.web.archive.org/web/20021016232814/ http://crmtrends.com/analytics.html.20Dayco Statement Regarding Related Applications.21Eick, "Visual Discovery and Analysis," IEEE Transactions on Visualization and Computer Graphics, vol. 6, No. 1 Jan.-Mar. 2000, p. 44-58.22EP Communication issued on Nov. 8, 2007 for EP Application No. 02784170.9.23EP Examination Report issued on Feb. 29, 2008 for EP Application No. 03811852.7.24Frawley et al., "Increasing Customer Value by Integrating Data Mining and Campaign Management Software," Direct Marketing 61(10):49-53 (1999).25 *Frawley, Andrew; Thearling, Kurt. "Increasing Customer Value by Integrating Data Mining and Campaign Management Software". Feb. 1999. Direct Marketing. vol. 61, Issue 10. pp. 49-53.26Gray et al. "Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals," Data Mining and Knowledge Discovery 1, 1997, p. 29-53.27Hahn et al. "Capturing Customer Heterogeneity Using a Finite Mixture PLS Approach," Schmalenbach Review, vol. 54, Jul. 2002, p. 243-269.28Hoekstra et al., "The Lifetime Value Concept in Customer-Based Marketing," Journal of Market Focused Management 3:257-274 (1999).29 *Hoekstra, Janny C.; Huizingh, Eelko K.R.E; "The Lifetime Value Concept in Customer-Based Marketing". 1999. Journal of Market Focused Management. vol. 3, pp. 257-274.30Hughes, Arthur Middleton, "Boosting Response with RFM," American Demographics, pp. 4-10 (May 1996).31 *Hughest, Arthur Middleton. "Boosting Response with RFM". May 1996. American Demographics. pp. 4-10.32IN Examination Report issued on Dec. 27, 2006 for IN Application No. 2612/DELNP/2005.33IN Examination Report issued on Feb. 28, 2007 for IN Application No. 2590/DELNP/2005.34IN Examination Report issued on Jan. 2, 2006 for IN Application No. 2612/DELNP/2005.35IN Examination Report issued on Oct. 19, 2007 for IN Application No. 2590/DELNP/2005.36Information regarding Enterprise Insight downloaded from www.epihany.com, May 18, 2001, 7 pages.37Information regarding nQuire Software downloaded from www.nQuire.com, Jul. 23, 2001, 12 pages.38Kahan, Ron, "Using database marketing techniques to enhance your one-to-one marketing initiatives," The Journal of Consumer Marketing 15(5):491 (1998).39 *Kahan, Ron. "Using Database Marketing Techniques to Enhance Your One-to-One Marketing Initiatives". 1998. The Journal of Consumer Marketing. vol. 15, Issue 5. p. 491.40Machauer and Morgner,Segmentation of bank customers by expected benefits and attitudes, international journal of Bank Marketing, 19/1 (2001), p. 6-17.41MarketFirst Announces Initial Customer Availability of MarketFirst Release 2.0. PR Newswire, p. 2526, May 4, 1999, 4 pages.42 *Miglautsch, John R. "Thoughts on RFM Scoring". May 22, 2000. Journal of Database Marketing. vol. 8, Issue 1. pp. 67-72.43Miglautsch, John R., "Thoughts on RFM scoring," Journal of Database Marketing 8(1):67-72 (2000).44Morgan, "The Boomer Attitude," American Demographics, Oct. 1, 2002, p. 1-5.45Office Action issued on Apr. 15, 2003 by USPTO in U.S. Appl. No. 10/014,840.46Office Action issued on Apr. 27, 2009 by USPTO in U.S. Appl. No. 10/302,418.47Office Action issued on Aug. 10, 2007 by US PTO on U.S. Appl. No. 10/302,418.48Office Action issued on Aug. 21, 2008 by USPTO in U.S. Appl. No. 10/302,418.49Office Action issued on Mar. 3, 2008 by US PTO on U.S. Appl. No. 10/302,418.50Office Action issued on Mar. 8, 2005 by USPTO in U.S. Appl. No. 10/302,337.51Office Action issued on May 2, 2006 by USPTO in U.S. Appl. No. 11/147,034.52Office Action issued on Nov. 12, 2003 by USPTO in U.S. Appl. No. 10/014,840.53Office Action issued on Oct. 19, 2006 by USPTO in U.S. Appl. No. 11/147,034.54Office Action/Examination Report issued by the EPO Nov. 6, 2007 on Application No. 03 812 082.0-2221.55Paragren Technologies and Rubric Announce Strategic Relationship: web execution and workflow enhances relationship marketing solutions. PR Newswire, p073DCTH030, Jul. 30, 1998, 3 pages.56Poulos, "Choosing Customers Through Needs-Based Segmentation: Part I," destinationCRM.com, Nov. 8, 2000, p. 1-3.57Schmid et al., "Catalog Creative: The RFMP Way," Target Marketing 21(7):38-41 (1998).58 *Schmid, Jack; Boyle, Lois. "Catalog Creative; The RFMP Way". Jul. 1998. Target Marketing. vol. 21, Issue 7. pp. 38-41.59Thearling, Kurt, "Campaign Optimization: Maximizing the Value of Interacting with Your Customers," Relationship Marketing Report, Aug. 2001.60 *Thearling, Kurt. "Campaign Optimization: Maximing the value of Interacting wwith Your Customers". Aug. 2001. Relationship marketing Report.61Vassiliadis, "Modeling Multidimensional Databases, Cubes, and Cube Operations," IEEE 1998, p. 53-62.62Weber, Alan, "A Simple Way to Use RFM," Target Marketing 20(3):72-75 (1997).63 *Weber, Alan. "A Simple Way to Use RFM". Mar. 1997. Target Marketing. vol. 20, Issue 3. pp. 72-75.64Yankelovich-Solutions and Services, Yankelovich Monitor MindBase, 2001-2002, p. 1-22, retrieved from web.archive.org, see e.g., http://web.archive.org/20011024020908/secure.yankelovich.com/solutions/mindbase.asp.65Yankelovich�Solutions and Services, Yankelovich Monitor MindBase, 2001-2002, p. 1-22, retrieved from web.archive.org, see e.g., http://web.archive.org/20011024020908/secure.yankelovich.com/solutions/mindbase.asp.* Cited by examinerReferenced byCiting PatentFiling datePublication dateApplicantTitleUS8041619 *Oct 24, 2008Oct 18, 2011Bank Of America CorporationHybrid model for new account acquisitionUS8271313 *Sep 26, 2011Sep 18, 2012Experian Marketing Solutions, Inc.Systems and methods of enhancing leads by determining propensity scoresUS8364518Feb 14, 2011Jan 29, 2013Experian Ltd.Systems and methods for forecasting household economicsUS8442854 *Dec 6, 2012May 14, 2013Branch Banking And Trust CompanySystem and method for estimating residual lifetime value of a customer base utilizing survival analysisUS8494995 *Nov 17, 2010Jul 23, 2013International Business Machines CorporationSystems and methods for dynamically reconfiguring predictive analytics within workflows using selective user feedbackUS8504408 *Jun 16, 2010Aug 6, 2013Infosys LimitedCustomer analytics solution for enterprisesUS8583593Nov 18, 2011Nov 12, 2013Experian Information Solutions, Inc.Systems and methods for optimizing database queriesUS8620727 *Aug 18, 2011Dec 31, 2013Terence V. PagelerBusiness performance segmentation modelUS8626563 *Sep 10, 2012Jan 7, 2014Experian Marketing Solutions, Inc.Enhancing sales leads with business specific customized statistical propensity modelsUS8732004Sep 20, 2005May 20, 2014Experian Information Solutions, Inc.Automated analysis of data to generate prospect notifications based on trigger eventsUS8756096 *May 14, 2013Jun 17, 2014Branch Banking & Trust CompanySystem for evaluating banking consumers as a function of aggregated residual lifetime values and potential lifetime valuesUS8775299Jul 11, 2012Jul 8, 2014Experian Information Solutions, Inc.Systems and methods for large-scale credit data processingUS8805724 *Dec 18, 2007Aug 12, 2014Verizon Patent And Licensing Inc.Intelligent customer retention and offer/customer matchingUS8811590 *May 2, 2012Aug 19, 2014Nice-Systems Ltd.Adaptive, self-learning optimization module for rule-based customer interaction systemsUS8825514 *May 14, 2013Sep 2, 2014Branch Banking And Trust CompanySystem and method for estimating residual lifetime value of a customer base utilizing survival analysisUS20080065395 *Aug 25, 2006Mar 13, 2008Ferguson Eric JIntelligent marketing system and methodUS20090157449 *Dec 18, 2007Jun 18, 2009Verizon Data Services Inc.Intelligent customer retention and offer/customer matchingUS20100057654 *Nov 13, 2009Mar 4, 2010Retaildna, LlcSelf-learning system and method for providing a lottery ticket at a point of sale deviceUS20110106580 *Oct 29, 2009May 5, 2011International Business Machines CorporationSystem and method for example based targeted marketingUS20110251874 *Jun 16, 2010Oct 13, 2011Infosys Technologies LimitedCustomer analytics solution for enterprisesUS20120046997 *Aug 18, 2011Feb 23, 2012Pageler Terence VBusiness performance segmentation modelUS20120053951 *Aug 26, 2010Mar 1, 2012Twenty-Ten, Inc.System and method for identifying a targeted prospectUS20120123987 *Nov 17, 2010May 17, 2012International Business Machines CorporationSystems and methods for dynamically reconfiguring predictive analytics within workflows using selective user feedbackUS20120263291 *May 2, 2012Oct 18, 2012Dror ZernikAdaptive, self-learning optimization module for rule-based customer interaction systemsUS20120323835 *Aug 28, 2012Dec 20, 2012International Business Machines CorporationDynamically reconfiguring predictive analytics within workflows using selective user feedbackUS20130066676 *Sep 10, 2012Mar 14, 2013Experian Marketing Solutions, Inc.Systems and methods of enhancing leadsUS20130238378 *Apr 30, 2013Sep 12, 2013Microsoft CorporationManaging resources using resource modifiersUS20130253983 *May 14, 2013Sep 26, 2013Robert Russell LawtonSystem and method for estimating residual lifetime value of a customer base utilizing survival analysisUS20130253984 *May 14, 2013Sep 26, 2013Branch Banking & Trust CompanySystem and method for evaluating banking consumers as a function of aggregated residual lifetime values and potential lifetime valuesUS20140249872 *Mar 1, 2013Sep 4, 2014Mattersight CorporationCustomer-based interaction outcome prediction methods and systemUS20140249873 *Oct 8, 2013Sep 4, 2014Mattersight CorporationCustomer-based interaction outcome prediction methods and systemWO2014123505A1 *Feb 5, 2013Aug 14, 2014Lui CMethod and system for group purchase of on-line advertising* Cited by examinerClassifications U.S. Classification705/7.31, 705/7.33International ClassificationG06F17/30, G06Q30/00Cooperative ClassificationG06Q30/0244, G06Q30/0243, G06Q30/0254, G06Q30/0242, G06Q30/0246, G06Q30/0204, G06Q10/0637, G06Q30/0202, G06Q30/02European ClassificationG06Q30/02, G06Q30/0254, G06Q30/0202, G06Q30/0204, G06Q30/0242, G06Q30/0243, G06Q10/0637, G06Q30/0246, G06Q30/0244Legal EventsDateCodeEventDescriptionSep 25, 2013FPAYFee paymentYear of fee payment: 4Jan 26, 2011ASAssignmentEffective date: 20100901Owner name: ACCENTURE GLOBAL SERVICES LIMITED, IRELANDFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:ACCENTURE GLOBAL SERVICES GMBH;REEL/FRAME:025700/0287May 5, 2003ASAssignmentOwner name: ACCENTURE GLOBAL SERVICES GMBH, SWITZERLANDFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:REED, KENNETH L.;ANSUSHINHA, THEODORE;HARIHARAN, HARI S.;REEL/FRAME:014035/0693;SIGNING DATES FROM 20030307 TO 20030404Owner name: ACCENTURE GLOBAL SERVICES GMBH,SWITZERLANDFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:REED, KENNETH L.;ANSUSHINHA, THEODORE;HARIHARAN, HARI S.;SIGNED BETWEEN 20030307 AND 20030404;US-ASSIGNMENT DATABASE UPDATED:20100427;REEL/FRAME:14035/693Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:REED, KENNETH L.;ANSUSHINHA, THEODORE;HARIHARAN, HARI S.;SIGNING DATES FROM 20030307 TO 20030404;REEL/FRAME:014035/0693RotateOriginal ImageGoogle Home - Sitemap - USPTO Bulk Downloads - Privacy Policy - Terms of Service - About Google Patents - Send FeedbackData provided by IFI CLAIMS Patent Services©2012 Google