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79 papers and 27 presentations; 97 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PharmaSUG 2024 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
SESUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PharmaSUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
WUSS 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PharmaSUG 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PharmaSUG 2021 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
SGF 2021 Automated Vehicle Odometer Reading Using SAS for AI and Computer Vision Tyler Rosacker,
Kedar Prabhudesai,
Hardi Desai,
Neela Vengateshwaran,
Varunraj Valsaraj		 source
pdf		 17
SGF 2020 Machine Learning Approach to Combat the Opioid Epidemic Navjot Kaur source 15
MWSUG 2019 Classifying Risk in Life Insurance using Predictive Analytics Sai Gopi Krishna Govindarajula 6
MWSUG 2019 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar 24
SGF 2019 International Financial Reporting Standard IFRS 17: Practical Experiences from Implementation Sebiha Sahin source 9
SCSUG 2018 Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model Mei Najim source 17
MWSUG 2018 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar 24
SGF 2018 Claim Analytics: A Litigation Prediction Case Study Mei Najim source 18
PHUSE EU 2017 Plausible Adversaries in Re-Identification Risk Assessment Lukas Kniola source
presentation source		 10
MWSUG 2017 Claim Analytics Mei Najim 18
SGF 2017 An Investigation into Big Data Analytics Applied to Insurance Rebecca Peters,
Penny Holborn		 source 18
SGF 2017 Geospatial Analysis: Linear, Nonlinear, or Both? Kelsey Osterloo,
Angela Wu		 source 14
PharmaSUG 2016 What-s the Case? Applying Different Methods of Conducting Retrospective Case/Control Experiments in Pharmacy Analytics Aran Canes source 8
SGF 2016 A Property and Casualty Insurance Predictive Modeling Process in SAS Mei Najim source 14
MWSUG 2015 A Property & Casualty Insurance Predictive Modeling Process in SAS Mei Najim 14
SGF 2015 All Payer Claims Databases (APCDs) in Data Transparency and Quality Improvement Paul A. LaBrec source 17
SGF 2014 Reevaluating Policy and Claims Analytics: A Case of Corporate Fleet and Non-Fleet Customers in the Automobile Insurance Industry Kittipong Trongsawad,
Jongsawas Chongwatpol		 source 10
SGF 2014 Simulating Portfolio Losses from Adverse Events: Applications to the Insurance and Finance Industries Mahesh V. Joshi,
Jan Chvosta		 source
zip		 20
SGF 2014 The Use of Analytics for Insurance Claim Fraud Detection: A Unique Challenge Roosevelt Mosley,
Nick Kucera		 source 15
SGF 2011 After SAS Performs the Surgery, Excel Applies the Make-Up: Making Healthcare Data Look Pretty Andrea Scott source 5
SGF 2011 Highlighting Unusual Behavior in Insurance Based on Social Network Analysis Carlos Andre R. Pinheiro source 9
SGF 2011 Predictive Analysis of Auto Insurance Purchasing Behavior on the Internet Roosevelt Mosley source 15
SGF 2011 Quantitative requirements for non-life insurance under Solvency 2 Sverre Grevskott source 8
NESUG 2010 After SAS Performs the Surgery, Excel Applies the Make-Up: Making Healthcare Data Look Pretty Andrea E. Scott 5
NESUG 2010 Modifying Insurance Rating Territories via Clustering Quncai Zou,
Ryan Diehl		 13
MWSUG 2010 Use of FILENAME Statement to Create Automated Reports with Severe Weather Events Data from the National Weather Service Valentin Todorov 7
SGF 2010 An Analytical Approach to Determining Customer Value in the Property and Casualty Insurance Industry Roosevelt Mosley source 20
SGF 2010 Improving the Defense Lines: The Future of Fraud Detection in the Insurance Industry (with Fraud Risk Models, Text Mining, and Social Networks) Terisa Roberts source 7
SGF 2010 Modeling the Severity of Random Events with the SAS/ETS SEVERITY Procedure Mahesh V. Joshi source 20
SESUG 2008 Ride the Wave - Using Waterfall Graphs to Easily Depict Gaps between Starting and Ending Values Rebecca Bremer Booth source 5
SUGI 2006 A Comparison of the MIXED Procedure and the GLIMMIX Procedure Jennifer L. Ferrell source 8
MWSUG 2005 A Comparison Of Linear Mixed Models To Generalized Linear Mixed Models: A Look At The Benefits Of Physical Rehabilitation In Cardiopulmonary Patients Jennifer Ferrell 7
SUGI 2005 Predicting Workers' Compensation Insurance Fraud Using SAS Enterprise Miner 5.1 and SAS Text Miner Terry J. Woodfield source 6
SEUGI 2003 Pre-canned analytics and SAS Industry Intelligence Solutions [presentation] David Hartley,
Henrik Wagner		 source 21
SEUGI 2003 SAS: a Tool for the Technical Control of the Motor Insurance Management? [presentation] Villan source 56
SEUGI 2003 The SAS Academic Intiative Featuring the Student Ambassadors: Building the future for our SAS Customers - Wrap Up [presentation] Nina Hanke source 10
SUGI 2003 The Horror of Bad Data Quality Henri Theuwissen,
Nancy Croonen		 source 7
SEUGI 2002 Financial Risk Management within the Generali Group: a structured approach [presentation] Paolo Pirona source 28
SEUGI 2002 Outcome on a bank sales campaign based on scoring list [presentation] Gianluca Bo source 20
SEUGI 2002 State of the Art Management Information System in Internet Banking at Credit Suisse Financial Services [presentation] Martin Prestera source 20
SUGI 2002 The Benefits of Data Warehousing for an Insurance Company Wolfgang Hofbauer source 6
SUGI 2002 Web-enabling a Client/Server OLAP Application Using SAS/IntrNet Software's MDDB Report Viewer Mary Federico Katz,
Bob V. Roo		 source 6
NESUG 2001 Processing Dates in Health Care Enrollment Data Thiru Satchi 3
SEUGI 2001 Data Warehouse and Strategic Management - How to Sustain Competitive Advantage [presentation] Karin Nischk,
Wolfgang Hofbauer		 source 31
SEUGI 2001 Driving CRM with Customer Intelligence [presentation] Adrian Reynolds source 28
SEUGI 2001 The Managing Information System (S.I.D.) of the Civil Servants' Health Insurance [presentation] Isabelle Richard,
Joseph Garacoits		 source 48
SEUGI 2000 An ordered list of customers for a new Bank: scoring with EM 3.0 [presentation] Flavio Bonifacio source 14
SEUGI 2000 Benefits From Merging Datawarehouses [presentation] Jurgen Wielandts,
Sophie Ceyssens		 source 18
SEUGI 2000 CFO Vision In Tapiola Insurance Group [presentation] Kimmo Taskinen source 27
SEUGI 2000 Data Mining in a Pharmaceutical Environment [presentation] Franky De Cooman source 24
SEUGI 2000 Experiences in Datawarehouse-based CRM at Storebrand Insurance, Norway / if ... Insurance, Nordic Countries [presentation] Geir E. Paulsen source 13
SEUGI 2000 The Growing pains of building a Corporate Data Warehouse [presentation] Tiago Durao source 28
SEUGI 1999 Customer data: from warehouse to powerhouse! [presentation] Nico Kuijper source 23
SEUGI 1999 Datamarts without effort [presentation] Francis Steelandt,
Ignace Follet		 source 25
SEUGI 1999 Effective data warehousing - optimised MDDB in practice [presentation] Jacek Kaukiel source 28
SEUGI 1999 Insurance application: marketing database, forecasting model and cluster design at Reale Mutura Assicurazioni Flavio Bonifacio source 16
SEUGI 1999 Integrating management reporting with SAS Software: balanced scorecard, data mining and OLAP Analysis for an insurance company [presentation] Patrick Imark source 30
SEUGI 1999 The good, the bad, and the quality [presentation] Chris Henricx,
Dirk Waegemans,
Ignace Follet		 source 21
SEUGI 1999 The squaring of the circle: managed health care - integration of medicine and economy [presentation] Georg A. Mathis,
Guido Schaub		 source 26
SUGI 1999 Building a 'Pre-subsetting' User Interface for Multidimensional Reports Dan J. Kirpes source 5
SESUG 1998 See Sally Work: Techniques for Designing and Evaluating User Interfaces Judy Loren 8
SEUGI 1998 Building an ALM system for the Insurance Industry Koen Van Huffel,
Marc Hansenne		 source 7
SEUGI 1998 Covering technical provisions at Verlandi Group Ingrid Tolvas,
Jukka Korva,
Peter Volin		 source 5
SEUGI 1998 Danske Data A/SAS software does not have any problems with the Year 2000: But how do we go about finding and correcting our own "sins" of not using SAS data [presentation] Per Odgaard source 28
SEUGI 1998 Data warehousing to support commercial reorganisation [presentation] Eddy Volcher,
Philippe Colpin		 source 46
SEUGI 1998 Forecasting Software - A sales planning tool for the Marketing Department [presentation] Christophe Bonnart source 11
SEUGI 1998 How to build human-like, fuzzy applications with SAS Software Markku V. Suni source 4
SEUGI 1998 Panta Rei or DAWIS: Data warehous information system [presentation] Thomas Klaibeer source 27
SEUGI 1998 Reporting as a Function: Many Problems, Some Solutions Markku V. Suni source 4
SEUGI 1998 Sales coaching with automated exception reporting and OLAP exploration: DVV Insurance's first data warehouse exploitation [presentation] Kristien Smets,
Ludo Van Roey		 source 17
WUSS 1997 Incrementing Year Fields in Flat Files to Test Year 2000 Compliance Brian Bouvier source 5
WUSS 1997 Managing Large Health Insurance Claims-Based Files: Tricks and Techniques Miriam G. Cisternas,
Marcia Stoddard		 source 4
SESUG 1996 PROC SQL - A SAS Programmer's Perspective Deborah L. Skinner 7
NESUG 1996 The Fuzzy Feeling SAS Provides: Electronic Matching of Records without Common Keys Charles Partridge 9
WUSS 1996 PROC SQL - A SAS Programmer's Perspective Deborah L. Skinner source 7
SEUGI 1996 Data Warehouse at the Association of Hungarian Insurance Companies (MABISZ) Attila Papp,
Istvan Janosi		 source 8
SEUGI 1996 Fuzzy Logic and SAS Software - Do they work together? Markku V. Suni source 23
SEUGI 1996 SUN Solutions: Small, Useful, Now - Translating the compass vision into action [presentation] UNKNOWN source 4
SUGI 1996 SAS Software: One Stop Shopping for Re-engineering Diane E. Brown source 5
NESUG 1995 SAS MACROS: A Gentle Introduction for the Fearful Ralph W. Leighton 10
SEUGI 1995 AMIS: Developing a Data Warehouse for Actuaries Jan Willem van der Grijp source 10
SEUGI 1995 How Setting up Links between SAS/EIS and Current Available Tools of Analysis used in the Company Fabienne Hassan source 9
SUGI 1995 SAS: The Complete Solution for Medical Data Analysis Diane E. Brown source 6
SUGI 1995 System Development - Financial/Operational Database Charles Longua,
Steve Hansen		 source 7
SUGI 1995 Working with Arrays Ralph W. Leighton source 11
MWSUG 1994 SAS: The Complete Solution for Medical Data Analysis Diane E. Brown 10
SEUGI 1994 "Please Consult Your Specialist": an Application for Medicine Prescription Analysis Aswin Bouwmeester,
Hans Bertens		 source 4
SEUGI 1994 Accident Analysis for Critical Insurance Areas Guiseppe Merlini,
Guiseppe Cuniberto		 source 4
SEUGI 1994 The Expense Information System at Interpolis H. Scheerhorn,
R. P. A. van den Akker		 source 12
SUGI 1994 Customized Training for SAS Users: Organization-based and Industry-based Warren Repole Jr. source 6
SUGI 1994 Working with Arrays: Doing More with Less Code Ralph W. Leighton source 11
SESUG 1993 Using Episodic Analysis to Evaluate the Cost and Quality of Health Care Dorothea E. Otte 4
SESUG 1993 Using SAS to Analyze Health Status in Insurance Claims Richard N. Lieberman 10
SCSUG 1992 Users Get It Their Way Twila Faye Turpen 7
SEUGI 1992 Generation Gap From 3rd to 4th Generation in an Insurance Company Markku V. Suni source 9
SEUGI 1992 Marketing and EIS in the Riunione Adriatica di Sicurta Max R. Borsetti source 11
SEUGI 1991 The Marketing Information System for RAS Group Insurance Companies Max R. Borsetti source 15
SEUGI 1990 The Usage of PROC DDBEXT in Topdanmark Insurance Paul Baden source 6
SUGI 1986 How to Transform Reams of Data Into a Clear Presentation or Mapping Beyond Counties with SAS/GRAPH Software Muriel M. Farrington source 4

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