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SEUGI 2000 Papers - Index

278 papers. Source: SEUGI (SAS European Users Group International) conference proceedings.

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1 A (web) page on Service Levels Fabio Veronese Presentation capacity planning, key performance indicator source 28
2 A Balanced Scorecard For IT Performance Management Brian Watts Presentation customer satisfaction, customer profitability, customer retention, source of wealth source 28
3 A Business Framework for decision support, illustrated for HR Christ D'haeveloose Presentation change data capture, business intelligence, data warehouse source 11
4 A cast iron investment for e-insurance services Andrew Oliver,
Mike Norfield		 Presentation source 21
5 A corporate style with ODS Frank Poppe Presentation proc step, proc template, ods html, sas output source 23
6 a data warehouse solution in Swiss managed health care Georg A. Mathias,
Ulrich Thurnheer		 Presentation data warehouse, data cleaning, proc sql, risk selection, raw data, sql server source 33
7 A Finger on the Pulse of PROFILE Matgorzata Wyrozumska,
Wiestaw Wysocki		 Presentation data wrangling, mis, management reporting, proc freq, artificial intelligence, sas consultant source 17
8 A PC Interface for Mainframe SAS Datawarehouse Heidi Fog Presentation proc sql, health insurance, inner join, proc step, sas base, dataset, temporary dataset source 19
9 A reporting system on the WEB Pål Navestad Presentation data validation rules source 16
10 A Retail Project Vesna Sikic Presentation source 30
11 A Web Presentation of a SAS data set from the Uppsala Longitudinal Study of Adult Men (ULSAM) Hans Lithell,
Lars Bergulund,
Liisa Byberg,
Rawya Mohsen		 proc means, univariate analysis source 10
12 A Wonderful transformation or the SAS system through a migration MVS-UNIX Patrick Cornu,
Verónique Arthaud Bowen		 Presentation source 8
13 Active Contact with Customer through the CRM System at the BIG Bank Gdanski SA Zdzisław Dec Presentation data mart, credit risk source 4
14 Addressing Tomorrows Challenges in Network Service Management Richard Seery,
Sven Farber		 Presentation quality of service source 10
15 Adopting e-Strategy for Information Delivery John M. LaBore,
Thomas H. Burger		 Unprecedented technological advances have redefined business strategy. Globalization, e-commerce and accelerated R&D have increased industry reliance on Information Technology (IT). This requires acute recognition of business needs and an architecture providing enterprise-wide business solutions. Competitive advantage will be held by those adopting strategic technologies tightly integrated with the business. We discuss business intelligence, data governance source 4
16 An application of Image Editor and Image Management to recoreded traffic video images Giovanni Meccariello,
Livia Della Ragione,
Mario Rapone		 In this paper some results relative to a research project developed by Istituto Motori of Italian National Research Council, are presented. Different cars have been instrumented in Istituto Motori and periodically they perform planned trips through the center of Naples, along an expressway (called Tangenziale) to by-pass the city center and along ways that connect Naples to different towns of Campania Region. Data concerning kinematic informations relative to each trip performed by each car are stored in a SAS data set and analyzed to define a driving cycle by multivariate statistical analysis. In particular, in this paper is described how the video images recorded by video camera can be integrated with other traffic visulization tools, with the aim of the determination of precise location of actual detected data and qualitative assessment of traffic conditions. A UNIX tool captures and digitizes video signals from VCRs sources data science, proc step, catalog, proc princomp, scatter plot source 9
17 An online Business Monitoring System - Actual online information on highly automated Business Processes in a large scale SAP Environment - Case Study and Outlook Elmar Husmann Presentation dataset, business intelligence, mis, data validation rules, data standard, delta load, management reporting source 20
18 An ordered list of customers for a new Bank: scoring with EM 3.0 Flavio Bonifacio Presentation insurer, sample, life insurance, population, response variable, logistic distribution, type i error source 14
19 Analysing Performance of SAP/R3-Systems with SAS IT Service Vision Jurgen Wengorz Presentation source 24
20 Analysing the footprints of your customer - A case study by ask|net and SAS Klaus-Peter Huber Presentation flat file, response variable, data transformation, data mining, regression analysis, proc hpsplit, neural network source 40
21 Analyzing accounting information on the Internet J. L. Machal,
K. Rogiers,
M. Bourgois		 Presentation label statement, excel, logistic distribution source 19
22 Applied SAS/MDDB Concepts in Risk Management Ljiljana Cortan Nisevic,
Mirela Panduric,
Tomislav Grebebar		 Presentation proc sql, proc step, create view, credit risk, dataset, risk exposure source 44
23 Assets & Liabilities analysis using SAS: second life of legacy data Andrei Trifonov Presentation balance, management reporting, retail banking, data cleaning, current account, account, group by source 21
24 AstraZeneca gets a panoramic view of its pharmaceutical business, derived from ERP systems Mauro Tuvo Presentation business intelligence, elapsed time, phase i, flat file, phase ii source 31
25 Automating the Information Supply Chain Allan Russell,
Ben Zenick,
Robert Owen		 Presentation data mining source 42
26 Balanced Scorecard ING Bank Kees Timmers,
Popko de Vlugt		 Presentation financial services, investment banking, management reporting, quality assurance source 23
27 Balanced Scorecard with the SAS System Jonathan Hornby Presentation customer satisfaction, kyc, output delivery system source 30
28 Benefits From Merging Datawarehouses Jurgen Wielandts,
Sophie Ceyssens		 Presentation data validation rules, outlier, life insurance, cross-sell, customer segmentation, mortgage, insurer source 18
29 Building a Balanced Scoredard to implement an innovative banking strategy Alessandra Turi Presentation customer satisfaction, distribution channel, financial services, liquidity gap, interest, phase ii, phase iii source 24
30 Building an Integrated Clinical Trial Data Management System With SAS Using OLE Automation and ODBC Technology Alexandre Peregoudov Presentation data cleaning, clinical trial, dataset, sas base, data dictionary, quality control, clinical data, data governance, macro variable, variable source 9
31 Building Star Schema With SAS Software - An Introduction to a Data Warehouse Data Structure Mark Shephard Presentation fact table, star schema, proc sql, dimension table, foreign key, natural key, view, dataset, date variable source 30
32 Business Intelligence 2000 William Rogers Presentation business intelligence, sas base, data dictionary source 11
33 Business Intelligence in Telefonica I+D (R&D) Alfredo Jesus Serrano Presentation business intelligence, cluster analysis, data science, sample, proc hpsplit, neural network, factor analysis source 32
34 Business Units, Management and Statutory consolidation for Union Fenosa Francisco Javier Rios Presentation financial reporting, proc freq, balance source 26
35 CFO Vision and Total Financial Management Peter Bull Presentation management reporting, phase i, phase ii, financial reporting, phase iii, output delivery system source 34
36 CFO Vision In Tapiola Insurance Group Kimmo Taskinen Presentation ledger, insurer, data step, excel, batch job, output delivery system, data warehouse source 27
37 Changes and Enhancements to the SAS Component Language (SCL) Carl LaChapelle Presentation exception handling, data cleaning, character functions source 56
38 Churn in a Prepaid Cellular Market Marcelle Georgiev,
Mohan Namboodiri		 Presentation missing value, accuracy, data mining source 23
39 Churn Prediction - The important element in the retention process Gerhard Wanek Presentation churn prediction, customer lifetime value, data mining, data cleaning, cross-sell, customer retention, sample source 15
40 Churn Solution Deployment Henrik Wagner Presentation response variable, churn prediction, campaign response, churn propensity source 36
41 Click Stream Reporting & analysis for website optimization Richard Doherty Presentation source 32
42 Clinical Data Warehousing Functionality Michael Roberson Presentation raw data, audit trail, data transformation, clinical research, dataset, clinical data, clinical trial source 39
43 Coil Coating quality on the Web Jeroen Liefhebber Presentation clinical trial, sas base source 17
44 Combining education and training to develop a new breed of SAS consultant: the SAS MSc in Business Intelligence William Wallace Presentation business intelligence, data mining, data warehouse source 33
45 Controlling all your NT systems from a single report Mark Cohen Presentation proc sql, capacity planning, sql server, output delivery system source 17
46 Cost-Cotrolling via e-mail using Enterprise Reporter on top of SAP/R3 Paul Bruynseels Presentation bar chart, master data management, oracle, macro variable, logistic distribution, proc step source 38
47 Creating a Learning Organisation Nigel Wigram Presentation source 47
48 Creating and exploiting a "Customer Table" with the SAS System: from the Data Warehouse to Direct Marketing Campaigns Guido Cuzzocrea,
Frank Fiocca,
Salvina Piccarreta		 The need of an efficient, historical and customer centric information system, led ZURIGO Italia to build a Marketing Data Warehouse. The main goal being, to assist the company's business users in the implementation of target marketing strategies. Data Marts and Business Applications, that use the warehouse as a data source, have been developed to support decision makers in Data Mining and exploitation activities. A specific requirement was a "user-friendly" environment, designed to highlight all the relevant information regarding a client, for the purpose of evaluating its potential and, finally, to select the best campaign targets. The "Customer Table Application" satisfies these needs through the following architecture: one record per client, with information regarding its past and current behaviour as an insurance customer, summarised according to such business criteria as profitability, claims index and attrition probability sample, dataset source 7
49 Creating PDF Documents including hyper-links, bookmarks and a table of contents with the SAS Software Lex Jansen Presentation sas output, proc means, txt, macro definition, crf, concomitant medications, medical history source 39
50 Creating Strategic Advantage through Customer Knowledge Management Andrew Thornton Presentation data mining, cross-sell source 27
51 Creating validated standard output using the System Development Life Cycle (SDLC): A practical approach with the Biometrics Department of Solvay Pharmaceuticals Saskia Janssen Presentation macro parameter, missing value, clinical data, clinical trial, error message, laboratory data, phase i source 37
52 Creatng synergy by integrating SAS and Lotus Notes Erwin van Dongen,
Han Tanis		 Presentation dataset, health insurance, excel, proc step, proc sql, macro variable source 27
53 Credit Risk Measurement for a Bank Loans Portfolio Emiliano Laruccia,
Valter Lazzari		 For Italian Banks, credit risk measurement and management is one of the areas where the difference between theory and practice is wider. Because of the limited availability of data, it's difficult to implement standard credit risk models (i.e. Credit Metrics and Credit Risk Plus). This paper provides a simple approach to measure credit risk on a portfolio of bank loans, taking into consideration correlations between different groups of borrowers and correcting for recovery rates. Using the results of a scoring system, borrowers are grouped in homogeneous classes of risk. Through a simulation we are able to obtain the loan loss distribution, accounting for the concentration of loans in each class of risk and for the effect of recovery rates. 1. Credit Risk: definition and measurement Credit risk measurement (CRM) can be observed in two different perspectives. On one hand, CRM is aimed to measure potential losses due to insolvency correlation, sample, recovery rate, poisson distribution, credit risk, sensitivity analysis, standard deviation, pd, proc freq, default rate, regression analysis, logistic regression, actuarial modeling, binomial distribution, spearman correlation, logistic distribution source 11
54 Credit Scoring with Enterprise Miner Henrik Wagner Presentation credit scoring, data mining, credit risk, retail banking, customer lifetime value, data warehouse, proc hpsplit source 29
55 CRM Out of the Box - An Integrated Turnkey Solution Frank Block Presentation natural key, distribution channel, retail banking, customer profitability, customer retention, data mining, raw data source 25
56 CUP2Intranet - How to launch a new insurance product into the market with SAS/IntrNet Gero Niessen,
Torsten Rosenkraenzer		 Presentation key performance indicator, mis, access control, management reporting source 19
57 Data Analysis and Ecological Classification Gabriela Augusto,
Marco Painho		 Classification is a basic tool for knowledge conceptualisation in any science. Ecology is not an exception. There are a huge number of classification methods, since the empirical classification that we use in everyday life, until the most recent neuronal networks methods. To perform an ecosystems classification, in this project, the chosen methodology was cluster analysis, more specifically hierarchical classification. In this paper are compared only tree classification algorithms together with two measures of similarity, in Europe Ecosystems Classification. Biogeography experts appreciated the results, and we could reach a methodology that leaded us to an ecological consistent classification. However, being cluster analysis only a set of heuristic procedures to find natural patterns in a collection of data, it can only suggest a classification, and is up to the experts to appreciate the infinite number of results, that can be obtained by this procedure cluster analysis, hierarchical clustering source 11
58 Data Driven approach for channel usage segmentation Vera Helman Presentation cluster analysis, sample, hierarchical clustering, usage segmentation, bootstrap, bagging source 25
59 Data Entry and Maintenance with SAS/IntrNet Software: The Locking Techniques Wilfried Schollenberger This paper is based on the requirements and experiences at EURESCOM. The SAS/INTRNET based Project Management System requires capturing and maintenance of information via the Internet and the local Intranet. In order to provide secure updates, it is necessary to lock areas of the database, while somebody is working on them. The presentation introduces various requirements and the appropriate solutions batch processing, batch job source 5
60 Data Mining - an interactive approach to customer database segmentation using recency-frequency-value model Stacie Maxey Presentation proc fastclus, proc step, proc cluster, proc freq, cluster analysis, data step, proc standard source 20
61 Data Mining and e-intelligence - A winning team Gerhard Held,
Turlough Fitzpatrick		 Presentation data mining, customer profitability, customer segmentation, recommendation engine source 20
62 Data Mining as a Decision Making Support System for the Banking Sector Elisabete Silva,
Henrique Nicola		 Presentation credit card, financial reporting, consumer loan, savings account source 29
63 Data Mining for Building & Not Digging Kathryn Burn-Thornton Presentation machine learning, proc hpsplit, neural network source 22
64 Data Mining in a Pharmaceutical Environment Franky De Cooman Presentation output delivery system, logistic regression, insurer, anova, proc freq, logistic distribution, regression analysis source 24
65 Data Mining in Direct Marketing with Purchasing Decision Data Randy Collica Presentation source 24
66 Data Mining Systems in the company: a global perspective Guillermo Encina Presentation current account, model validation source 23
67 Data Mining: Churn Management and Client Retention in Telecommunications Lori Caton Presentation data mining, business intelligence, data warehouse, churn prediction, phase i, phase ii, phase iii source 20
68 Data Warehouse - CAPSA Commercial and Marketing Analysis Marisa Soriano Presentation data warehouse, distribution channel source 37
69 Data Warehouse and Analytical Tools - Development and Implementation David Frazer Presentation data cleaning, excel, raw data, management reporting, structured data, proof of concept, data warehouse source 43
70 Data Warehouse exploitation by world wide Internet concurrent users Instituto Cervantes 1999 - 2000 Joaquin Soler Presentation data integrity, excel, consistency, data integration source 36
71 Data Warehouse in the Pocket - information you need on a GSM terminal Atilla Papp,
Eva Torda		 Presentation data mining, trend analysis source 23
72 Data Warehouse on administrative data of enterprises Giovanna Del Mondo Presentation sample, fact table, data mart, data warehouse, raw data source 23
73 Data Warehousing in Telecom Italia - Company-wide Usage of a new Technology to support Business Intelligence Giampiero Santesarti Presentation business intelligence source 25
74 Delfos: gas demand forecasting Jose Manuel Galvez Canamaque Presentation artificial intelligence, data science, outlier source 45
75 Delivering improved risk management, sales reporting, targeting and campaign management using SAS and Intrinsic software in Banking Shaun Doyle Presentation sas risk engine, data mining, data mart, financial services, cpu time source 20
76 Deploying Intrnet Server in a European R&D environment Klaus-Pieter Vlieg Presentation proc sql, sql server, phase i, phase ii, phase iii, excel source 13
77 Deutche Bank: On-line banking for profit Resi Cuypers Presentation data mining, cluster analysis source 32
78 Development of Micro-Aggregation System for Confidential Data L. Bechet,
P. Loosveldt,
T. Le Tri		 Presentation numeric variable, nominal variable, standard deviation, proc princomp, cv, missing value, moving average source 44
79 Dot-com Your CRM Karen Richards Presentation business intelligence, profitability analysis, regulatory reporting source 45
80 E-Intelligence - through an Information Portal on the company intranet Johan Jerresand Presentation business intelligence, sas base, data mining, access control, customer satisfaction, sas enterprise guide source 47
81 e-Intelligence - Transforming web logs into business decisions Jay L. Stevens Presentation dataset, output delivery system source 24
82 e-Intelligence: Challenges and Processes for Success Richard Rovneer Presentation source 35
83 e-procurement with the SAS Solution for Supplier Relationship Management Jorg Salomo Presentation customer satisfaction, market risk, cpu time source 27
84 e-Warehousing with SPD Server Leigh Bates Presentation key performance indicator, business intelligence, proc sql, data mining, group by, parallel group, sql pass-through source 31
85 E.S.S.E. Editing Systems Standard Evaluation - Software Framework A. Manzari,
G. Della Rocca,
M. Di Zao,
O. Luzi		 Presentation imputation, numeric variable, missing value, proc step, missing completely at random, nominal variable, raw data, response variable, proc calis, sample source 20
86 E=(DM)2 - The implementation a Business Intelligence Factory in the most Efficient and Effective Manner Guido Cuzzocrea,
Italo Cattaneo,
Massimo Saputo		 Presentation business intelligence, data mining source 28
87 Effective financial management of a bank Eva Micovska Presentation management reporting, mis source 15
88 Efficiency Techniques for Accessing Large Data Files Andrew Wilcox Presentation proc step, proc sql source 31
89 Efficiency Using Enterprise Reporter Nikkie Windsor Presentation where statement, proc sql, proc step, macro variable, sysdate9, sas function, sample source 37
90 Efficient reporting to the authorities using SAS An Smets Presentation adverse events, business intelligence, proc freq, data cleaning, concomitant medications source 37
91 Enhance SAP step-by-step with Customer Relationship Management Functionality Patrick Schünemann Presentation data wrangling, likelihood function, sample, data mining, data warehouse, artificial intelligence, cross-sell source 21
92 Enterprise Computing - Adaptive Architectures for Business Intelligence - managing the deployment cost curve Paul Padley Presentation business intelligence source 29
93 Enterprise Guide Version 1.1 Adrian Bruty,
Carol Williams Rigsbee		 Presentation sas enterprise guide, business intelligence, survival analysis, time series analysis source 19
94 Enterprise Integrated ERP Reporting David MacLeod Presentation data warehouse source 20
95 Enterprise Mineer vs Underlying SAS Code: A Performance Comparison Usama Hasan Presentation proc step, data mining, proc hpsplit, neural network, feature selection, regression analysis, sample source 11
96 ERP Strategy Patrick Xhonneux Presentation data mart, data warehouse, extract source 26
97 Euro Blue Chips Index - A new benchmark for European Stock Markets Emiliano Laruccia,
Marcello Esposito,
Stefania Carpi		 Presentation interest rate, time series analysis, degrees of freedom, market risk, data science, weighted mean, correlation source 33
98 Evolution of Multi-Channel CRM at BMG Direct US Jeff LeSueur Presentation proc freq, sample, data warehouse source 27
99 Expaning Open Access to Your OLAP Data Duane E. Ressler Presentation source 23
100 Experiences in Datawarehouse-based CRM at Storebrand Insurance, Norway / if ... Insurance, Nordic Countries Geir E. Paulsen Presentation combined ratio, distribution channel, insurer, property insurance source 13
101 Exploiting SAS Servers from COM environments using SAS integration Technologies and VB Frank Rosner Presentation stored procedure, proc step, sas batch, sysrc, proc sql source 41
102 Extending the use of Metadata in SAS/Warehouse Administrator software Steve Morton Presentation data warehouse, dataset source 36
103 Feeding the Warehouse: How we satisfied the Hunger of the Beast called Miami Gareth Hughes,
Mel Cullen		 Presentation raw data, proc step, proc sql, proc means, flat file, time, star schema source 39
104 Financial Management using CFO Vision Kari Kuusisto Presentation ledger, management reporting, business intelligence, data cleaning, audit trail, excel source 41
105 Financial Reporting in the Finnish police-Implementing CFO Vision Janne Sonkamo Presentation financial reporting, excel, management reporting source 13
106 Finding the needle in a haystack: Fraud Detection on million records Thierry Van de Merckt Presentation outlier, data science, mahalanobis distance, health insurance source 28
107 Flexibility in code and operation of SAS systems using Meta Data, in base SAS Peter Crawford Presentation sas base source 13
108 Forecasting Bad Debt by ARIMA Models with Multiple Transfer Functions using a Selection Process for many Candidate Variables Alastair Jones,
Derek Hull,
John Adam		 Presentation correlation, missing value, proc arima, confidence interval, predictor variable, estimate, proc calis source 18
109 From "Service" to Service - Technology on top of a mindshift Nenad Jelovac Presentation service provider, sql server, proc sql source 18
110 From Data Modeling to Business-to-Business Application Development: Targa Services/Fiat Auto Case A. Dorigo,
A. Saccardi,
Giovanni Lux		 Presentation data mart, data science source 28
111 From Doctor Shopping to Data Warehouseing to Improve Health Outcomes John Trabinger Presentation health insurance, data mart, data warehouse, data cleaning, data validation rules, data standard, data mining source 47
112 From Hours to a Few Seconds Georg Morsing,
Palle Severinsen		 Presentation source 39
113 From ideas to technology - e-intelligence Frank Johannsen Presentation data science source 18
114 From Infancy to Maturity: SAS/PH-Clinical Introduction at Fujisawa Soren Kristiansen Presentation audit trail, clinical trial, phase i, clinical data, adverse events, phase iii, phase iv, data cleaning, pharmaceutical industry source 40
115 From the client datamart to the corporate data warehouse Daniel Csikos Presentation data mining, data standard, life insurance, auto insurance, property insurance, index source 19
116 From the Reporting System to the Web Warehousing: How the BI/DW technology is increasing its importance in a Small/Medium company. The Worldgem Group successfully experience. Andrea Provini,
Gianni Lorato		 Presentation key performance indicator, logistic distribution source 4
117 Genetic Data Analysis with Enterprise Mineer John C. Brocklebank,
Wayne Thompson		 Presentation data mining, proc hpsplit, feature selection, clinical trial, clinical research, training set source 24
118 GP's assess the quality and performance of clinical activity through an interactive homepage Birgitte Holm Andersen,
Per Allan Jensen		 Presentation gcp, sas base, health insurance, lookup source 59
119 Having the Proce Report Improvements Suggested in the 2000 SASware Ballot NOW! David R. Trenery Presentation proc report, proc step, macro variable, missing value, catalog, class variable, proc printto source 67
120 How an Operational project benefits from a Business Intelligence project Angel Sanz,
Carme Vila,
Josep Turmo,
Ramon Sanchez		 Presentation business intelligence, sas base, distribution channel, phase i, phase ii, phase iii, phase iv source 19
121 How it all comes together - the joint project between Candle and SAS in delivering an SLA/SLM system for EDM Teamco Ian Manton Presentation source 16
122 How to get a CEO behind a PC-Screen!! Berry van der Schans Presentation quality control, excel, customer satisfaction, trend analysis source 23
123 How to optimize the performance in MDDB exploitation with limited diskspace Chris Henricx,
Dirk Waegemans		 Presentation data mart source 12
124 How to win the fight for customers - From strategy to action Balanced Scorecard Sveinung Hestnes Presentation ledger, capital ratio, capital adequacy, customer segmentation source 24
125 HR Vision for R/3 & HR knowledge solution Dave Prinsloo Presentation proc sql, data standard, master data management, workforce analytics, proc freq, regression analysis source 44
126 HR Vision: The Power to Know your Workforce Betty Silver Presentation data mart, data mining, consistency, excel source 56
127 IBIS-Integrated Business Information System Kirsteen MacLeqan Presentation raw data, phase ii, excel source 35
128 If you lose FOCUS, You can always count on SAS Manjou Parmar Presentation business intelligence, output delivery system, batch job, cpu time, raw data source 21
129 Immigration Casework Analysis Project Home Office, UK Katie Essam Presentation sas base, excel source 25
130 Implementation of an International SAS Programming Environment for Clinical Trials Adrienne M. Jenn Presentation raw data, audit trail, flat file, sas programming, data warehouse, ascii, clinical trial source 24
131 Implementing a Balanced Scorecard on top of SAP/RE-FI Using SAS CFO Vision as Interface Ida R. Carapelle,
Sophie De Baets		 Presentation data dictionary, data standard, ledger, key performance indicator, best response, extract, financial reporting source 42
132 Implementing An E-intelligence Information System In An Extremely Active Web Environment Christopher A. Roper Presentation flat file, data mining source 20
133 Implementing an overall Datawarehouse Architecture using SAS/Warehouse Administrator Veer. 2.0 in IF Ole-Martin Hafslund Presentation source 42
134 Increase Help-Incident/Desk Efficiency by Using SAS/ITService Vision Walter Verhoeven Presentation capacity planning, oracle, proc sql, create table, customer satisfaction, phase i, phase ii source 23
135 Information Delivery with SAS at Toyota Dave Bullock,
Michael Eksteen		 Presentation data mining source 18
136 Information-Analytical system to monitor and provide forecasting for economics of the Russian Railway Industry (IAS EMF) Konstantin Lisitsa Presentation analytics platform, data warehouse source 4
137 Insurance Rate Making Using Data Mining Bernd Drewes Presentation credit risk, churn, customer profitability, customer retention, customer segmentation, data mining, outlier source 50
138 Integrate Analytics Applications in the Enterprise Architecture - EUROCLEAR experiences and initiatives Ilse Ellen,
Patrick Bourgi		 Presentation catalog entry source 25
139 Integration and Analysis of Portuguese Justice and Socio-Economic Statistical Information Leonor Bacelar-Nicolau Presentation source 33
140 Integration between IBM Tivoli and IT Service Vision for capacity planning Dennis Lapuhner Presentation elapsed time, proc sql source 15
141 Intergrating SAS in Corporate IT John M. LaBore,
Thomas H. Burger		 Applied users widely recognize the value of information delivery using SAS software. Integrating SAS into the business increases and streamlines productivity. However, limited awareness may exist in corporate IT of the role these tools play in knowledge formation for business solutions. The undervaluation of SAS stems from historical use by researchers, rather than IT developers enamoured by new technology. This can be remedied by raising corporate IT's awareness of cutting- edge SAS tools and the value of their adoption for timely solutions to a growing range of tasks. We discuss issues associated with raising corporate IT's awareness of the power of SAS software clinical research, insurance source 6
142 Internet Banking and Performance Measurement Andreas Terner,
Caroline Persson		 Presentation financial services, month, performance tuning source 22
143 IntraNet Datamarts for Ladder Stats/Triangles Jason Duncan-King Presentation proc freq, proc print source 27
144 Introduction to AppDev Studio Software Olivier Zaech Presentation bar chart, grid computing, production run, quality control, sas programmer, sql server, proc sql source 47
145 Introduction to SAS/IntrNet Software Ingrid Hertel Presentation proc sql, macro definition, sas output source 40
146 Investor Relationship Management John Wilkes Presentation management reporting source 36
147 IT Service Vision - WebHound - Performance Tuning and Reporting Don Koch,
Freda Cameron		 Presentation create table, data mining, performance tuning, proc means, capacity planning, elapsed time, stress testing source 42
148 IT Service Vision and IT Charge Manager: strategic directions Richard Seery Presentation output delivery system, business intelligence, capacity planning, management reporting, service provider, sql server, character variable source 32
149 IT supported balanced scorecard solutions in the healthcare industry Michael Herbers Presentation proof of concept, customer satisfaction source 21
150 Knit Perl and SAS Software for DIY Web Applications Philip R. Holland If your organisation develops a web-based SAS application for 30+ users, then the logical choice is to use SAS/INTRNETTM software for speed, reliability and cost-effectiveness. However, your whole organisation may have fewer than 30 employees, so is there a cost- effective alternative to SAS/INTRNET software which still allows access to SAS-based data? The answer is yes, and there are a number of possible solutions. For example, by combining a client licence for Base SAS software, a web server application, a simple application dispatcher written in Perl, and a knowledge of HTML, it is possible to write SAS code and HTML to provide drill-down reports on SAS-based data to users with access only to a web browser. This paper demonstrates some of the techniques available to SAS programmers to generate drill-down applications for web browsers macro variable, sas base, macro definition, macro loop, sample, %if-%then-%else source 12
151 Knowledge Solution SRM (Supplieer Relationship Management) Dominik Strauss Presentation source 27
152 Leveraging Your ERP Investment with the SAS System Jean-Marie R. Fiechter Presentation source 53
153 Local vision changes the strategy at the world's largest Oracle finance installation Michael Jensen,
Sven Gaffron		 Presentation sas consultant source 23
154 Making Ends Meet - Using SAS to Develop the Electronic Record and Health Needs Assessment Neil Serougi Presentation data science, data cleaning source 15
155 Managing IS costs through application performance management Nicolas Lesage Presentation capacity planning, quality of service, proc reg, retail banking, data science, regression analysis source 18
156 MarketExplorer - a decision support system for revenue management Gunda Gollmann Presentation revenue management, sas risk engine source 23
157 Maximizing your CFO Vision IT Infrastructure: Citrix Metafram in a Geographically Dispersed Organization Michael Sliva Presentation financial reporting, excel source 30
158 MDS GLARIF: On-line access to clinical laboratory data from all over the world Jean Yves Gouriou Presentation laboratory data, clinical trial source 18
159 Med-Dial - Towards a dialogue with physicians by giving information on their drug prescription behavior via the internet Ludwig Cluyse Presentation data controls, proof of concept, proc mds, quality control, stress testing source 33
160 Meeting the need for Knowledge Steen Hornbaek Soerensen Presentation excel source 49
161 Methods of Determining a Successful Web Site Peter Stagg Presentation sql server, proc sql source 27
162 Mini Data Warehouse - A data warehouse storing worksheet numeric data Dariusz Paczkiewicz Presentation excel, data warehouse, dataset, txt source 16
163 Mining in Melodies Bulcsu Fajszi,
Laszlo Surjan		 Presentation proc hpsplit, data mining, data science, cluster analysis, discriminant analysis, neural network, output delivery system source 19
164 Ministry of Trade and Industry Yritti Web Reporting System for Enterprise Supports Follow up Armi Sundstrom,
Marko Kivela,
Raimo Porttikivi		 Presentation management reporting, sas base, proc sql, mis, excel, customer retention, raw data source 20
165 Mobile access to your Data Warehouse Andreas Saflund,
Pontus Berg		 Presentation source 21
166 Monitoring Trade Flows of the World's Largest Trading Nation Blake R. Sanders Presentation source 40
167 Moving to SAS Version 8 with Oracle Clare Somerville,
Colin J. Harris		 The New Zealand Ministry of Social Policy has a large data warehouse. In production since 1996, it services several government departments across the social sector. Over sixty specialist analysts access the data directly using SAS tools, and management information is available nation-wide to over eight thousand staff using an Intranet Web interface. The warehouse platform is a large UNIX machine, with over 350 GB in production Oracle databases and SAS structures. This paper presents problems in accessing Oracle when moving from SAS Version 6.12 to 8, and solutions discovered on the way. Our immediate focus with Version 8 was to get our substantial production systems operational. All the production work with Oracle uses SAS/ACCESS to Oracle access descriptors and views, and we expected to continue in Version 8 with minimal change. The paper covers two main areas: ! Getting Version 8 SAS/ACCESS to Oracle working modify statement, proc append, data step, libname statement, proc step, missing value, oracle, dataset, by group processing, set statement, proc sql source 8
168 New Features and usage technology of SAS/ACCESS to R/3 Patricia Blankson Presentation data dictionary, data warehouse, create view, distribution channel, key, sysrc, output delivery system source 29
169 New Features in Enterprise Miner Gerhard Held,
John C. Brocklebank		 Presentation data mining source 30
170 Nissan European Aftersales: The Move from Legacy System to Data Warehouse Jonathan Davies Presentation phase ii, phase i, excel, data integrity, data wrangling, proc calis, sas consultant source 35
171 ODS for Dummies Christopher R. Olinger Presentation output delivery system, sas output, ods html, proc step, file statement, data step, proc print, macro variable, ods pdf, raw data, ods rtf, proc template source 36
172 Offline Network Intrusion Detection: Looking for the Footprints Frank C. Lieble Presentation proof of concept, data cleaning, output delivery system source 31
173 Portfolio analysis with SAS System and utilization of this information in the process of the Risk Provision creation Julia Farkasova Presentation sample, credit scoring, financial services source 21
174 Positioning SAS Software for Corporate Effectiveness John M. LaBore,
Thomas H. Burger		 Accelerated research and development has increased industry reliance on Information Technology (IT). Biopharmaceutical IT divisions increasingly require an infrastructure capable of providing global enterprise-wide business solutions. However, when the application of IT innovation to business solutions occurs at an insufficient rate, business needs go unfulfilled. Of particular importance to accelerating research is the implementation of application software for decision making. SAS " software provides powerful tools for data warehousing, decision support and presentation, but their effectiveness is directly proportional to an understanding of business issues and how SAS can solve them. A strategy for the integration of these tools into the business streamlines and accelerates critical processes data migration, clinical research source 6
175 Practical experiences from a WEB-based Enterprise-wide Performance warehouse Hayo Hasselmann Presentation memory usage, macro definition, excel, proc sql source 10
176 Practical Tips and Techniques for Building an Enterprise Data Warehouse in an IBM environment John Finianos,
Jugdish Mistry		 Much has been said about the implementation phase of an Enterprise Data Warehouse (EDW) project in general terms. Those who are directly involved in this phase appreciate the real value of knowing a few practical tips and techniques in speeding up deliverables and streamlining the whole implementation phase from source access to EDW load. This paper will discuss essential tips and techniques that have been practically acquired during the implementation of a SAS based data warehouse in the banking industry. Techniques such as splitting libraries, overcoming the 5 volumes limitation of SAS libraries, synchronizing EDW load processes, collecting process log data for reporting and control, building and managing format or lookup tables, techniques for space estimation, calculations and monitoring, naming conventions, filtering data, in addition to other nifty utilities built on the job dataset, format statement, sas library, raw data, macro definition, record count, excel source 6
177 Presentation is Everything Lesa Davis This presentation of the Output Delivery System (ODS) provides real world examples, displaying code and matching output, from SAS procedures and SAS graph. It show's how the Output Delivery System has been designed to overcome the limitations of traditional SAS output. It will also demonstrate how new formatting options are made readily available to all users. Having used V7, V8 over the last 12 months. I have been inspired by what can be achieved using the new Output Delivery System. The ODS improves the quality of the output and allows flexibility in what can be produced. The various formats that output can be supported under include HTML, LATEX, LISTING, OUTPUT Data Sets, RTF, PS, PDF, PCL, and XML, which is a great improvement from the traditional ASCII based text format. The ODS also supports the generic desktop publishing industry proc step, sas output, file statement source 6
178 Proactive Information Delivery Michael Gruebler Presentation business intelligence, dataset, sas enterprise guide, txt, spk file source 27
179 Program Error Notification - A version 6 application running in harmony with version 8 Kate Browning,
Phil Helme		 Presentation variable list, output delivery system, dataset, catalog entry source 33
180 Publitalia '80 Prj. MAGIA - global management of accounting collections Antonio Bellato Presentation data governance, sample, data mart, data warehouse, data standard, staging area, output delivery system source 28
181 Purchasing Budget & Price Evolution: tow innovative projects of Closed Loop implemented by the Liebert-Hiross group using the SAS System Technology Andrea Provini,
Bruno Marelli,
Leonardo Flora		 Presentation demand forecasting, data science source 5
182 Remote Data Querying Bernie Ruane Presentation where statement, macro variable, proc sql, data cleaning source 27
183 Reporting with the Output Delivery System and PROC TEMPLATE Linda Palm Simonsson Presentation source 13
184 Research on Applicability of Markowitz efficient set of portfolios to Russian Equity Market L. N. Melnikov,
V. Y. Kulyshev,
Vasily Sorokoumov		 Presentation correlation, sample source 47
185 Retail & E-tailing: From Customer Understanding to Target Marketing Bernd Drewes Presentation data mining, market basket analysis, business intelligence, attrition, association rules, data wrangling, neural network source 49
186 Revenue Reporting Made Easy: A Business Intelligence Solution Ross Kemp Presentation bar chart, business intelligence source 23
187 Risk Analysis De Nederlandsche Bank N.V. Corne van der Burg Presentation sas risk engine, quality assurance source 17
188 Risk Dimensions V3 Overview Rik van de Weerthof Presentation data governance, monte carlo, data standard, variance, confidence level, credit risk, data wrangling source 28
189 Risk Management System Jaime Penaranda Presentation liquidity risk, market risk, operational risk, variance, excel, credit risk, monte carlo source 24
190 SAS and Web - Right information quality decision Ivan Vrancic,
Jasmina Delic		 Presentation mis, traffic data, management reporting, distribution channel, data step, account, data wrangling source 48
191 SAS APPC a way to communicate from OS390 and a PC under windows 9X - An Easy Way to access os390 databases Claude Dunand Presentation source 6
192 SAS BI Portal Design Points and Architecture Steve Jenisch Presentation access control, business intelligence, role-based access control, connection pool, view source 44
193 SAS Business Intelligence Portal Don Hatcher,
Robert Owen		 Presentation dataset, role-based access control, business intelligence, access control source 27
194 SAS can do it - now what did you want and how did you want it? Alyson Cromar,
Richard Coleman		 The Research and Statistics Department at UCAS is responsible for the provision of summary information relating to some 400,000 applicants to Higher Education courses through the UCAS scheme. Changes in funding policy have given birth to increasing competition amongst the universities for student: institutions are now forced to understand their markets and pre-empt competitor behaviour. In doing so, they are increasingly reliant on trends in applications. The same information is required by the funding bodies and government in determining levels of expenditure. UCAS' customers are not SAS ! programmers - they need easily digestible and understandable information on which to base their decisions. As a result we have invested heavily in SAS! software in order to be able to deliver summarised information in whichever form is most suitable to our customers. This includes the development of applications in SAS/AF!, Enterprise Miner " and data mining, excel, proc step, logistic distribution source 6
195 SAS Data Warehouse for Risk Analysis in Vilniaus Bankas Algirdas Laukaitis Presentation neural network, data science, sas risk engine, sas base, probability functions, correlation, proc sql source 41
196 SAS e-Intelligence Solutions Richard Doherty Presentation source 25
197 SAS environment harnessed to reporting system execution at the customs distributed structure Tadeusz Lewandowski,
Wojciech Bułakowski		 Presentation sas risk engine, data standard, raw data, sample source 50
198 SAS for Computer Aided Telephone Interview (CATI) Gianluca Bo Presentation proc freq, degrees of freedom, sample source 38
199 SAS has CRM all WAPped Up Rodney Marwick Presentation credit card, credit scoring source 27
200 SAS in an open banking MIS environment Pawel Glowacki Presentation open banking source 17
201 SAS Integration Technologies - What is it? Steve Rees Presentation sas enterprise guide, business intelligence, dataset, access control source 45
202 SAS Software for the Analysis of Epidemiologic Data Hans-Peter Altenburg Presentation logistic regression, logistic distribution, regression analysis, odds ratio, conditional logistic regression, proc freq, poisson distribution, relative risk, response variable, macro definition, confidence interval, predictor variable, interaction effect, poisson regression, feature selection, proc step, longitudinal data, numeric variable, binomial distribution, proc calis, %if-%then-%else source 39
203 SAS System and Efficient Integration to Advanced Web User Interface Tools Arto Arffmann The Customers have adopted web browsers as the main window to enterprise applications. Nowadays almost all of our Customers in eNiklas demand browser based user interfaces. We have developed several HTML bound reporting systems using SAS/INTRNET. The Customers want also different kinds of applications, like budgeting, implemented in web browsers. These kinds of applications, that require more advanced user interfaces, have been implemented with SAS/AF so far. HTML is too limited for these purposes. The progress in web browsers and web servers has opened up new advanced ways to implement user interfaces in web browser. eNiklas eNiklas has vast experience in the Internet and IT-consulting business. We have constantly focused on the same business idea: To help companies explore their potential to grow. This concept has made us expand rapidly. During the last decade, we have gone from nothing to become a substantial player in the e-business solutions area customer satisfaction, business intelligence source 3
204 SAS Tools and the Population Census Beata Kassai,
Eva Papp		 Presentation data cleaning source 11
205 SAS Tools employed in analysing import activity influences on the home market based on the customes entry declarations Pawel Trembacz,
Sebastian Prot		 Presentation data transformation, txt, dataset, data wrangling source 39
206 SAS/IntrNet - Tips and Techniques Matthias Boge Presentation access control, proc sql, index, data validation rules, if-then-else, flat file, group by source 52
207 SAS/Knowledge Solution for R/3 and CFO-Vision Antje Mohrmann,
Soren Ingstrup Hansen		 Presentation account activity, financial reporting, missing value, create view, dataset, fact table, master data management source 21
208 Scalable Performance Data Server 3.0 Alan Gormley Presentation proc sql, create table, sql pass-through, group by, proc copy, proc format, where statement source 35
209 Screening procedures in human medicine-evaluation of results by multiple correspondence analysis J. Rovan,
M. Slak,
V. Urbancic-Rovan		 Presentation multiple correspondence analysis, proc corresp, proc freq source 12
210 Service Level Management Framework Andreas Noren Presentation source 20
211 Show Them What's Important: Solutions for a Finite Workday in an Era of Information Overload LeRoy Bessler Presentation bar chart, horizontal bar chart source 9
212 Show Them Where It's At: Data Mine the Earth's Surface for Locational Significance of What's Hidden in Your Data Warehouse LeRoy Bessler This paper offers map design guidelines for effective, efficient exploration and presentation of geographic-keyed data, and includes example maps that were created with macros that are too long to include here. The poster may include other map examples, if space permits. All presented here are for Europe or the Republic of Ireland, but, with one exception, are extensions of work first done by me for the context of the United Kingdom or United States of America. One is a type of map not previously created (at least not by me). proc gmap, proc step, cluster analysis source 18
213 Simplified Management Information System - From vision to realisation - a data warehouse project at Telkomunikacja Polska Jarosław Cichmiński,
Robert Szlęzak		 Presentation source 25
214 Skaen but not stirred - Why I like NLMIXED Tim Auton Presentation binomial distribution, treatment effect, proc calis, trend analysis, proc means, markov chain, likelihood function source 38
215 SMART - Towards a generic solutions, solving the restriction of problem specific applications Steven Van Waeyenberge,
Wim Van Doren		 Presentation output delivery system source 12
216 Smile - The UK's First Internet Bank - A Case Study Paul W. Johnson Presentation current account source 40
217 Snapshot of the Procurement Environment - Readiness Check - The Basis for Optimisation at Franke Group Beat Waldmeier,
Stefano Musso		 Presentation customer satisfaction, data integration, management reporting, sensitivity analysis, output delivery system, excel source 41
218 Speed and Reliability are the key to Success - Managing your e-Business environment in a proactive way Peter Van Gils Presentation quality of service, management reporting, capacity planning source 17
219 SPRINT - Segmentare Per Raggiungere Insieme Nuovi Traguardi Angela Ancona,
Fabio Compagnoni,
Flavio Addolorato		 Presentation customer segmentation, transaction data source 23
220 Successful and Faster Drug Development through Data Mining Dirk Belmans Presentation clinical trial, clinical research, data mining, phase i, phase iv, data cleaning source 15
221 Successful Information Delivery: Integrate Your Data Warehouse and Other SAS Applications with Enterprise Reporter Software Jens Dahl Mikkelsen Presentation source 42
222 Supplier Relationship Management - A vital link in the e-Supply Chain Claudia Weeder Presentation source 46
223 Supply Chain Optimization and Planning Patrick Xhonneux Presentation proc step, data warehouse, cash management, demand forecasting, outlier, inventory optimization, network optimization source 47
224 Supporting the Data Processing on Various Platforms by Using the SAS Software Katalin Koczkane Presentation sas base, data warehouse, current account, sas batch source 23
225 Surf Safely with Isabel and discover her data warehouse Jean-Paul Evens,
Pascal Kieboom		 Presentation flat file, excel source 14
226 Taking advantage of the SAS System on OS/390 David Crow Presentation batch job, data step, proc step, elapsed time, sas enterprise guide, parallel processing, sample source 35
227 Taking Advantage of the SAS System on the Windows Platform Gary Mehler Presentation decimal, memory usage, output delivery system source 83
228 Targeted Drug Discovery through Data Mining John C. Brocklebank,
Wayne Thompson		 Presentation data mining, clinical trial, market basket analysis, neural network, regression analysis, adverse events, dataset source 28
229 TeleGraph - A Telephone Usage Graphic Reporting System James K. Woods This poster presentation demonstrates what the SAS! ECO! ("Enterprise Computing Offer") suite of products can do for any business that uses telephones. SAS! products used: 1. SAS/ACCESS!-to-Datacom!--for obtaining latest customer characteristics, business equipment terminology, product descriptions, country codes, and other somewhat static information elements from the company's host system data warehouse. 2. SAS!/Base--for extracting and standardizing desired data a. The Macro Language Facility in Base SAS! is necessary to handle the numerous parameter substitutions and processing loops inherent to this application b. The Annotate Facility in Base SAS! is used to alter the positioning and spelling of labels for some states, countries, and/or islands c. PROC FORMAT is used to assign telephony country codes to SAS! country codes d. PROC SQL is generally used to summarize and combine data streams which need outputs at a single hierarchy e proc step, sas base source 9
230 Telephone Rates Simulator (TRS) Pedro Perez-Sandoval Presentation sample source 23
231 The African Oil Company - Data Warehouse Implementation Richard Magnin Presentation problem solving, data transformation source 21
232 The Art of Building Predictive Scorecards Duncan Hale Presentation sample, binary variable, univariate analysis, logistic regression, scoring, logistic distribution, regression analysis source 15
233 The Customer Life-Time-Value in the Insurance-Industry Gunter Schmolz Presentation cross-sell, customer profitability, proc hpsplit, regression analysis, lapse rate, churn prediction, customer segmentation source 16
234 The Data Warehouse at the Ministry of Russian Railways Igor I. Movchikov Presentation data mart, data warehouse, analytics platform source 17
235 The Disease Registry Application Deborah Allon,
Paul Nicholson		 Presentation poisson distribution, poisson regression, regression analysis source 3
236 The Finnish Police Strategi Reporting - Experiences of The Web Based Data Warehouse Ari-Pekka Neuvonen Presentation excel source 12
237 The Future of CRM and Brand Values in the New Marketplace (CRM and the Millennium Shopper) Edwina Dunn Presentation kyc, customer experience source 28
238 The Growing pains of building a Corporate Data Warehouse Tiago Durao Presentation distribution channel, insurer, phase ii, phase iii source 28
239 The measurement of advanced disease onset in pharmaceutical and epidemiological applications Anette Pfahlberg,
Olaf Gefeller		 Presentation: In pharmaceutical and epidemiological studies, one important aspect of the characterization of the relationship between an "exposure" (typically some risk factor in epidemiological studies and a drug or therapeutic regime in pharmaceutical trials) and the disease of interest refers to the measurement of the impact of the exposure on the timing of disease. For many chronic diseases, exposures merely advance the disease onset, and some measure conveying this information on the time dimension of premature disease occurrence is needed. Therefore, the concept termed "risk and rate advancement period (RAP)" has been introduced for chronic diseases to describe the time period by which the risk or rate of disease is advanced among exposed subjects. The measures are suited for diseases whose rate monotonically increase with age and for risk factors that accelerate progression to chronic diseases and thereby modify the increase of disease risk with age. The statistical derivation of point and interval estimates for the measures is briefly outlined here, and the computational realization of the method within the SAS software is delineated. source 7
240 The New SAS Macro POSET for Evaluating Coherent Alternatives in Nonrandomized Studies Anette Pfahlberg,
Beate Himmler,
Olaf Gefeller		 Presentation macro definition, clinical trial source 6
241 The Non-Stock Exchange Deals Optimization using Netflow Method V. B. Gorsky,
V. P. Stepanov		 We would like to present the solution of the following problem: some organization has a number of clients, which have their own portfolios of bonds ( or it can be any type of commodities ). Sometimes they would like to buy, to sell, or to sell one type of bond and to buy another bond on money from the bond sale, or from some client account. The clients can do it through external organizatio(p.e. on Stock Exchange), but the exchange operations between them inside the organization will be more profitable for them. The tasks are 1) to reveal the chains of mutual exchanges between client bids with maximum value of internal bond flow ; 2) to calculate the required external stock exchange operations and the importance of each of them. Each client has its own position in scale of priority. Besides each client has own requisitions on the exchange operation, the price of commodity in sale must be higher then some value and vice versa in buy operations the price must be lower then another value proc step, excel source 8
242 The Output Delivery System Michael Matthews Presentation file statement, proc template, sas output, proc step, output delivery system, proc format, dataset source 16
243 The power of HOLAP in a multidimensional world Massimo Martucci Presentation star schema, proc means, access control, data standard, structured data, dataset, view source 42
244 The role of customer intelligence with CRM Adrian Reynolds Presentation business intelligence source 36
245 Tracking research of public information campaigns in the Netherlands Jaap Veenstra,
Marc Arnold		 Presentation dataset, sample, data wrangling, stratified sampling, data cleaning, random sampling, excel source 28
246 Tracking SAS Usage on NT Workstations Ari Toikka Presentation source 3
247 Turbo Charging SAS Applications in Solaris Environments: Managing Highly Performing Applications in Large Multi-User Environments Maureen E. Chew,
Patty Gilchrist		 With the ever increasing need to support large enterprise SAS applications, we investigate and examine several different approaches to managing widespread, diverse and unpredictable workloads. We examine technologies and products which address scalability in the broadest sense of the definition: more data, more users, more urgency. Several strategies discussed include the newly available Solaris Resource Manager; allowing administrators extremely flexible methods for soft partitioning system resources based on project, user and/or application. Coupled with the Solaris Bandwidth Manager, SAS applications which have response time requirements typical of web enabled service and delivery applications could benefit greatly as administrators struggle with variable peak workloads cpu time, mp connect, proc step, traffic data, proc sql, data warehouse source 36
248 Two sides to the modelling problem Philip Whittall Presentation regression analysis, multiple regression, normal distribution, outlier, anova, covariance, bootstrap source 14
249 Unambiguous Representation of Data Processing Requirements John Mathews Presentation proc freq, histogram source 18
250 Usage of SAS/IntrNet in a global support area Dirk Grosse Presentation source 34
251 Using Dynamic Data Exchange to Pour SAS Data into Microsoft Excel Koen Vyverman Presentation excel, filename statement, macro variable, macro facility, label statement, macro quoting function source 21
252 Using eIntelligence & Strategic eSourcing to Become More Profitable Orville A. Bailey Presentation source 11
253 Using Enterprise Miner to explore pattern and process in biodiversity surveillance data for Great Britain John W. Watkins,
Simon M. Smart		 Presentation binary variable, sample, proc hpsplit source 11
254 Using SAS Solutions on top of the SAP HR Module at Electrabel Frank Deconinck,
Sophie De Baets		 Presentation data mart source 29
255 Using SAS System in the Media Research Projects Elena Maslova,
S. Poppv,
T. Barsov		 Presentation sample, data step, proc freq, excel, sample size, correlation, proc means source 38
256 V8 Information Visualisation Enhancements Stuart A. Nisbet Presentation output delivery system, dataset, proc step, bar chart, sas enterprise guide, data mining, scatter plot source 17
257 V8 Let's Rev It Up Alan Davies Presentation dataset, health insurance source 28
258 Version 8 OLAP Adrian Bruty Presentation business intelligence, access control, sas enterprise guide, group by, audit trail, class variable, data mining source 40
259 Vitesse - an invoicing system for TietoEnator in Sweden Inger Soderstrom Presentation source 15
260 Was The Y2K Moratorium A Blessing In Disguise For Data Warehousing? Paul W. Johnson Presentation dataset, raw data source 14
261 Web Enabling A Large Data Warehouse Clare Somerville,
Colin J. Harris		 The New Zealand Ministry of Social Policy (MSP) has a large, well-established and successful corporate data warehouse. This warehouse first went into production in January 1996. It has been continually enhanced since that time, and now services several government departments across the social sector. The hardware has been upgraded, the data quantity and sources have increased, and more vital information is being provided from the data warehouse. Although the number of users has increased, access had been limited to analysts with specialist SAS ! skills. This paper presents our experience, and the lessons learnt, from Web enabling a large and mature data warehouse: determining the real needs and benefits, undertaking research and appropriate planning, through to implementation. The decision to Web enable the warehouse was motivated by two business needs management reporting, data warehouse, time series analysis, excel, proc step, proc contents source 11
262 Web Information Extractor Mikal Netteberg Presentation business intelligence, data cleaning source 22
263 Web Mining Henrik Wagner Presentation output delivery system, data mining, missing value, label statement source 26
264 Web Personalization with e-Intelligence Richard Rovneer Presentation source 35
265 Web Tool Box - Puzzlestones for SAS/IntrNet Applications Stephan Tobler Presentation sample, data warehouse source 21
266 What a Statistician Needs to Know About Version 8e Maura E. Stokes,
Robert N. Rodriguez		 Presentation source 114
267 What happened afte "Around the World in 40 Days" Looking back after the first WebEIS Experiences at DVV Insurance Ingrid Delys,
Kristien Smets,
Ludo Van Roey		 Presentation stress testing, proc step, data mart, data cleaning, proc download, excel, proc sql source 32
268 What If Shewhard Had Built A Data Warehouse? Ian D. Cox,
Robert N. Rodriguez		 Presentation source 38
269 What the future holds - e-Business in the pharmaceutical industry Patrick O'Donoghue Presentation pharmaceutical industry source 38
270 What's new in AppDev Studio 1.2 Mark Torr Presentation output delivery system, ods html, sas log, sas base, production run, data cleaning source 56
271 What's New in Enterprise Reporter Damantha Boteju,
Scott Anderson		 Presentation source 15
272 What's New in SAS/Warehouse Administrator Scott Anderson Presentation source 41
273 What's New in the SAS e-Client World Georg Morsing Presentation source 33
274 Wireless Information Delivery Landscape Overview Mark Torr Presentation source 45
275 Writing Web Applications Using ASP and SAS Integration Technologies Robert Owen Presentation source 38
276 www.intesasgr.it - A Web-based information deliveery system for improving customer and partner service Claudio Lucarella,
Grazia Iamoni		 Presentation private banking source 18
277 Xelector: Select Connect Enable Donnie O'Sullivan Presentation financial services, data mining, conjoint analysis, usage data source 23
278 Your Graphs on the Web with SAS/GRAPH Version 8 Francesca Pierri The new features of SAS/GRAPH and the Output Delivery System provide the possibility of creating interesting graphs on the Web even lacking an extensive knowledge about the Hyper Text Markup Language (HTML). In particular the new enhancements allow to create drill-down graphs and define a link connecting each clickable area with another output, such as a report or another more detailed graph; moreover there is the chance of organizing the web page into areas and displaying for instance a Table of Contents and a graph in a single frame. This paper shows a few graphs and programs written with the aim of drawing and viewing them on the web. In particular it highlights new Version 8 features for the PROC GMAP, the possibility of creating drill-down graphs, combining output from different procedures and defining custom layouts ods html, proc step source 9

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