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SEUGI 2001 Papers - Index

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

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1 "E-tailing" - Click analysis for online shopping profiling Bernd Drewes Presentation proc freq, group by, link analysis source 24
2 A crystal ball for forecasting cellular sales Adrian Mattioli,
Margie van Straten		 Presentation data warehouse, sql server source 20
3 A Design Framework for Combining Click Stream and Customer Data for an e-CRM Solution Mark Ansell Presentation dimension table, fact table, staging area, foreign key, txt, lookup, key source 21
4 A dynamic approach to the segmentation of financial customers Paolo Frassetto,
Valeria Severini		 Presentation customer segmentation source 23
5 A FMCG Company embracing the new challenges of CRM and Marketing Automation Kerstin Plehwe Presentation service provider, data mining, cross-sell, data cleaning source 22
6 A New Decision-Making Support Analysis for the Auditing Area at Banca Monte Dei Paschi Di Siena Francesco Marzocchi,
Renato Coppi,
Roberto Tognazzi		 Presentation data mining, credit risk, covariance, regression analysis, proc princomp, correlation source 28
7 A prototype of Quality Data Warehouse in Steel Industry Camilo De Vecchis,
Maria Murri		 The final product quality is one of the fundamental aspects in steel industry. Because of this it became more and more important to prove the product quality, to look for the causes of all quality defects and to discover the relationships between product properties and production process parameters. Further, in order to verify the product quality in terms of 'customer satisfaction', it is important to investigate the relationships between product properties and sold/refused products. To solve these tasks it is on one hand necessary to handle information and data factory in a wide form and on the other hand to have powerful tools to analyse and interpret them. The work describes a Quality Data Warehouse (QDW) prototype, developed using SAS/WAREHOUSE Administrator V8, realised for a steel plant of tinplate production fact table, data warehouse, dimension table, star schema source 5
8 A retrospective evaluation of a data mining approach to fetal asphyxia at delivery in a hospital database Olavi Kauhanen,
Seppo Heinonen		 Presentation neural network, logistic regression, data mining, sample, logistic distribution, regression analysis, proc hpsplit source 53
9 A simple SAS-based search engine Hayo Hasselmann Presentation order by, macro loop, output delivery system source 12
10 A System for Monitoring and Analysing Legal Actions Roberto Noceta Presentation data science, forecast, sas consultant, trend analysis, sensitivity analysis, excel source 18
11 A web interface for portfolio risk optimisation with SAS System Giuseppe Marcon,
Maria Rita Pepe		 This article wants to illustrate an ongoing project by Simbologica S.r.l./Up-Tecno group (SIMBOLOGICA) implemented using the SAS System, whose goal is to optimise a client portfolio controlling its risk through the selection of investing funds offered by a single bank. A number of web pages are dynamically created with the intention of including them in the banks web sites currently developed and maintained by SPF SpA (Soluzioni e Prodotti per la Finanza) . Results for the evaluation of portfolios by means of various indicators (e.g. monthly returns, value at risk, Sharpe index) are presented in table formats and through CSF style-like images. A web page allows the selection of optimisation criteria, like the choice to retain funds or discard them, the choice of categories of investments and the maximum level of risk permitted in the resulting portfolio numeric functions, variance, portfolio risk, proc step, standard deviation, available balance, sas risk engine, time series analysis, proc reg source 14
12 A Web-based application for Bosch Siemens: European Price Monitoring (EPM) Bernd Brodersen,
Clemens Kraus		 Presentation business intelligence, master data management source 18
13 Account profiling for improved collection results Sharief Allie Presentation macro flow control source 26
14 Achieving Profitable Credit Management Strategies Sharief Allie Presentation customer profitability source 22
15 Advantages and Disadvantages of Using SAS/MDDB, HOLAP, and SAS/IntrNet in the Development of an Interactive System Lori A. Guido Presentation format statement, view source 64
16 Air Deal Manager: an end-to-end travel & expense management solution with SAS Software Dionino Di Florio,
Fabio Luzzi,
Giuseppe Marcon,
Jennifer Leech,
Maria Rita Pepe		 This paper describes a series of advanced functions in Air Deal Manager (ADM), a software application developed using the SAS System to provide decision support for the Travel and Expense's (T&E) air travel purchasing management processes. ADM was developed by the Consulting Services group at American Express Europe Ltd. London (Amex), with the leading support of Simbologica S.r.l./Up-Tecno group (S IMBOLOGICA), an Italian SAS System Quality Partner with a long experience in the exploitation of the power of the SAS System. Evolved over the last two years, Air Deal Manager automates most of the air travel purchasing management decision process and finds the best air travel solutions for Amex Corporate Clients to achieve optimal goals in term of expense reduction and quality of service discriminant analysis, dataset, proc discrim, proc step, variable, linear programming, by group processing source 20
17 An approach to the risk management of structured financial products Marco Cammi The core of any risk management information system is always an analytical engine working according to a specific approach to calculate value-at-risk indicators. In this paper a description of relevant financial modeling issues and their implementation in the context of the risk management information system of Gruppo Monte dei Paschi di Siena will be presented sas risk engine, mis, management reporting source 5
18 An Ark on the sea of data of the small and medium sized company Annarosa Busetto,
Luisa Agostinis,
Simonetta Finoli		 Presentation excel, business intelligence, data mart, batch job, sas data integration studio source 41
19 An End To End Personalisation Framework For Multi Channels Turlough Fitzpatrick Presentation source 23
20 And The CRM myth becomes reality Christophe Bonnart,
Colpin Philippe		 Presentation business intelligence, data mart, key performance indicator, customer profitability, customer retention, excel source 40
21 Asset and Liability Management Sanja Vuckovic Presentation sas risk engine, excel, proc step, proc sql, risk exposure, dataset, create table source 38
22 AstraZeneca's AWACS IntraNet: Remote sensing of the sales force Johan Velema,
Willem Boersma		 Presentation pharmaceutical industry, put statement source 27
23 Balanced Scorecard with "Strategic Vision" - the story of Samsung Corning Germany Joachim Esser Presentation source 23
24 Being the biggest - Becoming the best Michał Michalak Presentation data wrangling, business intelligence, data mart, data mining source 20
25 Beyond the Chip - Building Solutions for the Customer Giovanni Chiabrando Presentation data mining source 21
26 BNL's experience in building an internal rating system for domestic corporate customers A. Pellegrini,
G. Parrillo,
G. Porcelli		 The original approach of the Basel Committee, in its revision of banks' minimum capital requirements, tended to favour the use of ratings by international rating agencies. This approach would have favoured the Anglo- American banks penalising banks based in countries where the ratings of external agencies have a limited diffusion (i.e. emerging economies or countries, like Italy and Japan, characterised by an economic structure dominated by small enterprises, which have a preference for bank debts rather than other types of financing). Recently, the Basel Committee has changed its position, putting the Internal Rating Systems (IRS) of the banks on par with the products of the rating agencies, on condition that the former were validated by the national control authorities credit risk, mcr source 4
27 Broadcasting Network WEB site Traffic Analysis Donatella Gandino Presentation key performance indicator, format statement, data science, web service, correlation source 37
28 Building a Balanced Scorecard in Banca 121 Alessandra Turi Presentation financial services, liquidity gap, phase i, phase ii, phase iii source 23
29 Building a compelling case for Enterprise Miner Within The Bank of Scotland Simon Hughes Presentation data mining, proc hpsplit, neural network, sample, model deployment, txt, data cleaning source 33
30 Building JSP based MDDB viewers with webAF 2.0 Anton Fuchs Presentation source 26
31 Business Process Management: A Key IT Management Challenge Daniel J. Squillace Presentation capacity planning, insurance claims, correlation source 28
32 Capacity planning for your telephone systems: A case study from Den Danske Bank Or From 5 weeks to 1 minute Morten Halver Presentation capacity planning source 20
33 Chronographic Segmentation - a new life cycle approach to banking customer data analysis Furio Camillo,
Stefano Zecchi		 Presentation customer profitability, customer lifetime value, probability distribution, proc lifereg, proc step source 22
34 Closing the Loop - Using SAS to drive CRM Integration Anton Hirschowitz Presentation customer lifetime value, data warehouse, campaign response, data mining, data mart, sas enterprise guide source 32
35 Common tool for the Purchasing Headquarters applications Gerard Vignaud,
Serge Vanborre		 Presentation excel, data cleaning source 23
36 Configuring a SAS Data Campus Using an EMC E-Infostructure Freda Cameron,
Martin Stiegler,
Paul Padley		 Presentation sas log, data protection, sas library, dataset, data warehouse, libname statement, permanent library source 66
37 Constructing a time series using PROC SUMMARY and a multi-label format Hans Thomsen Presentation proc means, proc step, account, proc format, time series analysis, transaction data, work library source 23
38 Cross-selling of insurance products Flavio Bonifacio,
Oreste Porreca		 The information owned by an Insurance Company is frequently appreciated and used for CRM, from target analysis to customer satisfaction. Last year we spoke about the use of this kind of information by a Bank. Now we will speak about its exploitation by the Insurance Company itself. The cross-selling mode points to the identification of customers of new products (for example the Target Product) among clients based on characteristics well known to the company. One of the characteristics being the insurance products already purchased. This study presents two complementary ways of identifying the most potential customers: the first one, which we refer to as the external way, compares two selling channels in order to identify differences in customers due to the selling channel. This kind of analysis uses information related to the clients that RMA acquires by means of another selling organisation. The second way analyses data that Reale Mutua Assicurazioni acquires by means of its own selling network (internal channel) in order to identify which pattern of products already owned is the best predictor for future buying behaviours. proc freq, sample source 6
39 Current and Future Directions for Analytical Solutions Alan Eaton Presentation source 44
40 Customer Profiling as an integrated system in order to know and interact with the customers Angelo Marvaldi Presentation confidence level source 20
41 Customer Profiling System in Telecom Italia Mobile Claudio Bocci,
Gianni Santerini		 Presentation excel, load, data standard, binary variable, scoring, raw data, data science source 44
42 Customer Segmentation and retail product assortment Barry Young Presentation data mining, customer segmentation, euclidean distance, liquidity gap, numeric variable source 18
43 Customer's service and technical point of view: the mix of two worlds Olivier Wilm Presentation quality of service, oracle, data step, dataset, capacity planning, capacity utilization, flat file source 25
44 D.R.I.V.E.R. Barbara Brusegan Presentation distribution channel, data mart, correlation, sas base, batch job, customer segmentation, group by source 14
45 Data Mining as Method to Streamline the Drug Discovery Process Markus Duerring Presentation sample, confidence interval, sample size, correlation, data mining, poisson distribution, phase iii source 20
46 Data Mining at CDG Bank: an advantage or a requirement? Elisabete Silva,
Henrique Nicola		 Presentation data mining, credit card, business intelligence, neural network, market basket analysis, current account, churn source 25
47 Data Mining In a Zero Latency Enterprise Philip Bosinoff Presentation data mining, credit card, card fraud, confusion matrix, sample, neural network, outlier, data validation rules, response variable, proc hpsplit, network optimization, prior probability, model deployment source 36
48 Data Warehouse and Strategic Management - How to Sustain Competitive Advantage Karin Nischk,
Wolfgang Hofbauer		 Presentation insurer, loss ratio, data standard, data warehouse, health insurance source 31
49 Data Warehouse Evaluation: Reliability in the Aircraft MRO Industry Philipp Mengis Presentation sas enterprise guide, ledger, service provider source 31
50 Data Warehouse Implementation in Financial Statistics using SAS at State Statistical Office of Republic of Macedonia Lidija Petkovska,
Valentina Jankovik		 Presentation health insurance, data science source 49
51 Data Warehouse Technology As The Main Building Block of the Modern IT Strategy of the Polish Customs Adminstration Andrzej Tyrowicz Presentation data warehouse, sas risk engine, metadata management, business intelligence, data mining, data standard source 34
52 Delivering Clinical Study Data Using SAS/IntrNet Barrie Nelson,
Robert Davis		 Presentation macro variable, clinical data, clinical trial source 28
53 Detecting Procurement Fraud Jennifer Major Presentation output delivery system, random sampling, payment fraud, logistic distribution source 33
54 Develop The Enterprise Data Warehouse as a New Instrument For a Banking Governance Gianni Fuolega,
Mario Migliori		 Presentation management reporting, mis, credit risk, db2 source 29
55 Developing Wireless Applications using AppDev Studio 2.0 Stephan Haux Presentation source 14
56 Driving CRM with Customer Intelligence Adrian Reynolds Presentation sample, customer profitability, quality of service, customer retention, insurer, profitability analysis source 28
57 Dynamic behaviour profiling to derive cusomter management Bayan Dekker Presentation customer retention, customer satisfaction source 19
58 Dynamic Budgeting & Plannin Peter Bull Presentation cash management, customer profitability, customer satisfaction, data standard, financial reporting, product profitability, profitability analysis source 33
59 e-Intelligence and e-CRM in a competitive new economy Dorte Ransby Presentation data mining, proc freq, business intelligence, market basket analysis, data validation rules, customer retention, customer satisfaction source 27
60 E-Intelligence and Nokia Online Services Rosemarie Ruotto Presentation phase i, phase ii, phase iii, phase iv, web service source 19
61 E-St@rt (Statistics in the Net) David Christian Dayan,
Guiseppe Marcon,
Simona Vezzosi		 We are just coming out of a revolution. A revolution carried into effect as quickly as if it seems that the whole scenery of a society was not changed: a deep rebuilt, needed before the same traditional Market impose it. Let's think about all the tools which are today within the reach of everybody; could we propose a "yesterday newspaper"? Well, this is our contribution to the revolution: canalize the information and make it "alive": share all the main sources of analysis (in credit and finance), presenting them to all users in an electronic, drillable, exhaustive and above all continually updated format. Reset of the distances, satisfaction, evolution, freshness, no shock for the users, mould ability: this is our formula to go beyond papers and their well known logistic and cost problems. Our belief in e-warehousing success, the balance between costs and benefits, the need of a fast, safe, efficient and reliable tool have made us choose SAS Web solution once again source 6
62 Economical monitoring and forecasting system of Russian railways Konstantin Lista Presentation data mart, econometrics source 16
63 eDiscovery: The SAS Solution for eCRM Alan Gormley Presentation data warehouse source 30
64 Electronic Information System (EIS) - Past, Present, Future Ruth Brogan Presentation management reporting, phase i, phase ii, phase iii, phase iv source 34
65 Empowering the purchasing professional: The SAS solution for Supplier Relationship Management Brigitte Ley Presentation data mining, data mart, extract source 17
66 End to end datawarehousing with SAS at steel rolling company ALZ Kris Vranken Presentation proof of concept, business intelligence, sql server, excel, proc sql source 17
67 Enriching Click Stream data from other sources - What are the benefits and how is it done Ismo Saukkonen Presentation management reporting source 19
68 Ensuring SLOs and SLAs - How to commit computer resources to SAS applications, jobs and users Udo Schmitt Presentation resource allocation, %if-%then-%else, batch job, cpu time source 24
69 Enterprise cancer registry Romor Pierantonio,
Vicario Gianni		 The purpose of this project was the analysis of the requirements necessary for the realization of an automated system to determine the cancer incidence starting from the data available in the medical information database. The example given refers to the accomplishment of a population cancer registry in Friuli Venezia-Giulia, a region in the north-east of Italy. The starting information base consists of an epidemiological data warehouse, realized with SAS , where both the reference source and their report are kept. The quality controls have been carried out by using interfaces developed in SAS/AF . The results show that, thanks to pre-existent data base, the development of computerized algorithms to determine the incidence, and the realization of computer programs for the assisted resolution of the cases, new opportunities are given to cancer registration at lower cost and more timely than in the past record linkage, data warehouse source 4
70 Enterprise Guide: Delivering Information to the People Who Need to Know Adrian Bruty Presentation sas enterprise guide, format statement, business intelligence, random sampling, proc sql, data cleaning, flat file source 21
71 Enterprise Wide Information Delivery with ODS Achim Granzen,
David W. Kelley,
Paul Kent		 Presentation sas base, proc step, sas output source 13
72 Evolution of the Data Warehouse at the Russian Railways Igor Movchikov Presentation irregular component, prediction interval, seasonality, data science, time series analysis, proc freq source 24
73 Expanding SAP capabilities in maintenance Henning Lillejord,
Pål Navestad		 Presentation data mart, order by source 13
74 Exploiting and extending the Multi Vendor Architecture Achim Granzen Presentation proc step, proc sort, proc means, data wrangling, data mining, data mart, proc reg source 52
75 Fast integration of Enterprise Guide and Enterprise Miner with WebHound Klaus-Peter Huber,
Rainer Urbahns		 Presentation data mining, sas enterprise guide, group by, phase i, phase ii, phase iii, response variable source 12
76 First Aid for Legacy Data Warehouses - Common Symptoms and their remedies David Porter Data warehousing has been around for long enough to be seen as part of the same problem that it set out to cure. Legacy warehouses are slowing down to walking pace under the weight of years of stored data, front-end screens once state-of-the-art are now being criticised for not being 'windowy' enough. In these days of faster is better, batch driven warehouses are seen as arcane, the future is seen as live warehouses with the database being both transactional and historical. In this short paper I would like to offer a few tips to those nursing legacy systems and who want to 'pep' them up a bit, and hopefully save a few systems from being replaced unnecessarily. data warehouse, data mart source 3
77 Football and data mining: a statistical system for a "real-time" monitoring of players' performance in the European Championships Furio Camillo,
Stefano Sforza		 The paper aims to present various statistical models for the monitoring in real time of what happens in a football match. In particular, we discuss an evolution in terms of data-mining of the Digital Soccer System which has been used from some RAI journalists to discuss and to give a commentary on the games of the last European Football Championships. The research, and the experimentation of the used statistical models, have been entirely carried out in SAS environment, beginning from Software specific of "real-time survey" of what happens during the games, and of geo-reference, on the field, of all the noticeable athletic gestures according to previously defined technical codes. We try to show how it has been possible, working within the SAS environment and moving with a "Data-Mining approach" to implement models of synthetic appraisal and monitoring of the performance of a single soccer player during one sport competition like Euro2000 source 6
78 Framework for setting up a self-organizing portal through Web Mining Christine Schweizer,
Frank Sauberlich,
Klaus-Peter Huber,
Rainer Dorfler		 Presentation source 37
79 Fraud Detection in Healthcare - MBF's successful approach through SAS South Pacific Data Mining Discovery Centre Jolie Reichel Presentation data mining, outlier, correlation, missing value, stratified sampling, feature selection, health insurance source 14
80 From data warehouse to reports warehouse: a case study Gady Kotler Bank Tefachot, Israel's largest mortgage bank is using SAS for it's entire financial reporting, branch analysis and risk management for many years. SAS v8 has been installed on the bank's UNIX server during 2000 and immediately has created a need for Web reporting in all branches around the country. The Data warehouse team from EIS Ltd. has built a unique solution called SIGMA/Web that maintains a Reports Warehouse. Users can view reports generated periodically using SAS ODS and to send, via a web browser interface, requests for the SAS Unix server to be processed on-line. Each user can publish a SAS report to be viewed by other members under certain security limitations. A SAS published report can be enhanced by up-loading a WORD or EXCEL documents or other web formats. These documents along with the SAS reports, formulates a complete publication that is cataloged under Sigma/Web SAS application stored procedure, ods html, excel source 5
81 From e-data to web mining Said Nechab Presentation customer segmentation, market basket analysis source 46
82 From GaAs to Mobile Phones: the Implementation of a Quality Warehouse Paul Burgess This paper describes the experiences of Filtronic Compound Semiconductors LTD in implementing a data-driven yield management system to support the delivery of its RF products fabricated in Gallium Arsenide to customers in the telecommunications sector. Key business requirements were the rapid delivery of working prototypes to prospective customers, followed by a rapid stabilisation of the production process. In spite of the need to utilise manufacturing technology that is out of the mainstream of semiconductor manufacturing, this paper shows how these requirements were successfully supported through the development and deployment of a custom solution built using SAS technology for data warehousing and exploitation. Implementation was achieved in a relatively short time frame and in a cost effective manor, to successfully achieve the initial business requirements data warehouse, proc freq source 6
83 From Oracle to SAS: converting a large data warehouse Clare Somerville In January 1996, the New Zealand Ministry of Social Policy implemented its data warehouse. The data was stored in Oracle; SAS was used for all data manipulation, cleansing, verification, analysis and reporting, and for updating the Oracle database. Since that time, the warehouse has grown. There are now multiple data sources, with more users from more government departments. Two Oracle databases are in production, and they total around 500 GB in size. In this environment there are many features of Oracle that we don't use; and a couple of features that we do: views to set security levels, and the ability to update and query at the same time. But there are serious drawbacks to the use of Oracle - like query performance times that are up to ten times slower than SAS. This paper covers some of the issues encountered in converting a large Oracle based data warehouse into SAS dataset, proc step, proc sql, view, oracle, attrib statement, key, modify statement source 8
84 Fuzzy key linkage: robust methods for real databases Sigurd W. Hermansen Results of data mining depend heavily on the quality of linkage keys within a search dataset and within its database target. Linkage failures due to errors or variations in linkage keys have few symptoms, and can hide or distort what data have to tell us. More robust methods have promise as remedies, but require careful planning and understanding of specialized technologies. A tour of fuzzy linkage issues and robust linkage methods precedes a review of the results of a recent linkage project. Sample SAS programs include tools and tips ranging from SOUNDEX() and SPEDIS() functions to hash indexing macroprograms. proc sql, dataset, key, record linkage, %if-%then-%else, proc step, macro variable, data cleaning, parallel processing, macro definition, proc freq source 13
85 GIS IP Web: enchancing customer serive via Internet Lucien Hofmann,
Torsten Rosenkraenzer		 Presentation business intelligence, phase i, phase ii, phase iii, property insurance source 20
86 Giving the Users what They Expect Jeremy Gurney SAS/AF software provides an applications development environment for the creation of Graphical User Interface (GUI) applications for the SAS system. AF applications can provide both the convenience of the GUI environment and the full functionality of the SAS system. This paper presents a discussion of how AF applications can be modified to mimic the presentation and functionality of common desktop applications sample, dataset source 9
87 Globization and National Language Support for Your Release 8.2 SAS Environment Manfred Kiefer,
Steve Beatrous		 Presentation source 54
88 Group Services Portal Project Web Warehousing - Suppliers Angela Rinaldi The Consorzio Cooperative Costruzioni (Group of Construction Cooperatives) is one of the primary groups in the national construction sector. There are more than 240 associated cooperatives who operate in the fields of construction, transport, services, industry, and construction materials. They include large, nation-wide cooperatives, and small and medium sized cooperatives, and give an overall occupation to more than 20,000 operators, for an annual turnover of more than 6,000 billion lira. This portal represents the tool prepared by the CCC to promote, through the Web, the exchange of information and the comparison of opportunities with other operators in the field. The Web project is addressed in general to the construction field, from Public Bodies to Contracting Stations, from the Banking System to the Insurance System, from design companies to the individual practitioners, from the representative structures of the construction companies to the individual companies which can, in turn, become partners or potential competitors of the Group itself. source 8
89 Having trouble with your strategy? ... then map it! Helmut Maderbacher Presentation source 26
90 How our local vision can change the strategy in Copenhagen from buying solutions for local development Sven Gaffron Presentation excel source 22
91 How Strategic Vision Successfully Increases the Quality of a Balanced Scorecard System Markus Laub Presentation liquidity gap, key performance indicator source 15
92 How the Output Delivery System made UCAS Data 'Sing' Gaie Davidson-Burnet,
Liz Peters,
Richard Coleman		 Presentation output delivery system, proc step, ods html source 27
93 How to approach a segmentation project for ten million customers with SAS Enterprise Miner Luis Miguel Muruzabal Presentation data mart, sample, data mining, missing value, data cleaning, sample size, imputation source 26
94 How to benefit from SAS investments over time Nicolas Bull Presentation proc report, proc step, data cleaning, customer satisfaction, db2 access, ods excel, phase ii source 26
95 How To Find Your Way Around A Customer Database Alberto Saccardi,
Fabio Marchetti		 Presentation data mart, data mining, account, credit card, data standard, consumer loan, data warehouse source 24
96 How we implemented balanced scorecard with the company's strategy, together with follow-up programme Anders Finckenhagen Presentation source 24
97 Implementation of e-intelligence Solutions for Internet Service Providers Enzo Ferrari Presentation quality of service source 19
98 Implementing a BSC in a changing environment of Social Security Grieko Enter Presentation quality of service, premium, quality assurance, proc freq source 26
99 Implementing a Service Level Management Framework - A Case Study Andreas Moren Presentation service provider source 17
100 Implentation of an outlier detection method for hihg throughput screening in drug discovery Ronny Schrijvers,
Rudi Verbeeck		 Presentation outlier, type ii error, proc freq, proc univariate, dataset, sas base, output delivery system source 23
101 Improvements Made with Output Delivery System in Data Processing Maja Ledic Blazevic Croatian Bureau of Statistics (CBS) prepares and carries out majority of statistical surveys in Republic of Croatia, which are described in the 'Act on the National Statistics'. This paper will discuss some experiences and improvements made with SAS in processing, analysis and publishing of statistical data in some surveys. Methodologies used for statistical surveys in CBS are based on such principles and standards that ensure comparability of statistical indicators with other countries. For some of surveys CBS took over methodology of EUROSTAT. Two of them that have significant importance are Labour Force Survey and Household Budget Survey. Main goal for those two surveys was to prepare publications with results comparable to other European countries. SAS was chosen as most suitable tool to reach that goal. This paper will not discuss any aspect of methodologies for those surveys and it will focus only to usage of SAS. proc tabulate, proc step, output delivery system, excel, dataset, sample source 5
102 Improving Datamining Results Through Data Selection and Preparation Hein Lochner,
Nigel Wigram		 Presentation sample, response variable, regression analysis, neural network source 49
103 INFACT: a web-based solution to meeting the demands for public access to data collected at the public's expense Carol Calvert Presentation dataset, sas programming source 7
104 Integrated Customer Call Information John Nysse Presentation churn prediction, cell site, cluster analysis, staging area, data validation rules, dropped call, call records source 45
105 Integration of campaign management and data mining at MTN South Africa Marcelle Georgiev,
Mohan Namboodiri		 Presentation data mart, churn prediction, data mining, confidence level, campaign response, credit card, marketing mix source 22
106 Intelligently screening New Business Paull Lawrence Presentation lapse rate, sample, excel source 30
107 International Mail Order Business Wil Amian Presentation data mining source 22
108 Intranet-based Information Delivery at Central-European International Bank Eva Habori Presentation data warehouse, management reporting, customer profitability, data wrangling, raw data source 25
109 Introducing SAS Data Quality Matthias Boge Presentation source 35
110 IT Management Solutions - Strategic Directions Richard Seery Presentation capacity planning, output delivery system, data governance, management reporting, service provider, sample source 22
111 IT Service Management - Case Study Jani Pusenjak Presentation proof of concept source 26
112 IT Service Vision: pushing back the limits of the Quick-Start Wizard Julien Vanhemmens,
N. Lanaerts,
T. Le Tri		 Presentation output delivery system, batch job, capacity planning source 25
113 IT Service Vision: Strategic Business Reporting Brian Watts Presentation reporting, elapsed time, sas enterprise guide source 45
114 Kaleidos - A Splash of Colour for the "Silvery Haired" Guido Cuzzocrea,
Ignazia Vitali,
Linda Pimpinelli,
Salvina Piccarreta		 Presentation sample, cluster analysis source 32
115 Knowledge Solution for Credit Scoring Henrik Wagner Presentation data mining, credit scoring, logistic regression, proc hpsplit, logistic distribution, regression analysis, consumer loan source 26
116 Knowledge Solution for the SAP R/3 IT Management Christine Ritter Presentation dataset, data dictionary, extract, data warehouse, sas base, sample source 24
117 Kompass 24 - A Balanced Scored of Deutsche Bank 24 Jorg Hohling Presentation investment banking source 26
118 linked objectives: CRM and e-CRM as part of the information network Fabian Doring Presentation credit card, loan source 30
119 Liquidity Monitoring and Analyses System V. E. Sorokoumov,
V. V. Konuzin,
V. V. Pakhomov		 The Savings Bank of Russian Federation is the largest financial institution in the country and is believed to be the largest retail bank in the world in terms of number of customers (more than 100mln private clients), branches (12 000) and employees (more than 200 000). It has a spread across the entire Russian Federation from Vladivostok to Kaliningrad covering 8 time zones. Variety of services provided by Sberbank has made it a truly universal financial institution. The range of services by Sberbank includes FX, equity and commodity trading, financing domestic industries, corporate and private credit services, account management, credit card servicing, internet trading, etc. proc sql, data wrangling source 6
120 Macro encapsulation add-in tool for SAS/Warehouse Administrator Anders Holte The tool has four main functional areas: Simple job flow control, dynamic naming of input and output tables and variable names, simple source browser / editor, and a utility class. An add-in code generator builds the job stream a related add-in defines necessary extended attributes and features. Separate job steps or table load steps, user written or WA generated, are all covered by the tool. Fetures: Simple job flow control is obtained by putting some intelligence before and after the job step in the job stream. The job step should run depending on the success of another step. Return codes for job steps may be stored in a log data set for job control. Dynamic naming of tables and variables is done by inserting macro variables containing the names retrieved from the metadata into the job stream macro variable, sysrc, exception handling, macro definition source 17
121 Magellano-Statistics on-line A. C. Catitti,
A. Tazzi,
L. Cococcia		 Presentation output delivery system source 36
122 Management Information and Balanced Scorecard in Arhus Kommune (Municipality) Henning Pedersen Presentation source 18
123 Managing Legal Reporting Requirements: A Total Financial Management Strategy Peter Bull Presentation financial reporting, management reporting, audit trail source 32
124 Measuring and Managing Human Capital for Improved Performance Betty Silver Presentation source 17
125 Mining the earth's diamonds: SAS' role for information delivery and knowledge advancement Dave Apter Presentation proc gplot, sample source 34
126 Minng-Driven Marketing - Penetrating Telco-Markets Successfully Gunter Witsch,
Markus Ehl		 Presentation customer segmentation, business intelligence, data mining, regression analysis source 19
127 Modelling web trajectories of portal customers by mining clickstream data Angela Rinaldi,
Furio Camillo		 Presentation sample source 23
128 Multi-objective modelling of decision making problems using SAS software J. Pietrzykowski,
J. Granat,
P. Witan		 Presentation data science, output delivery system, proc step, data governance, data standard source 30
129 Navigating the New Economy - How analytics and strategy Keep your business on course and moving forward Jonathan Hornby Presentation kyc, correlation source 19
130 New Features and Future Directions for Enterprise Miner David R. Duling,
Gerhard Held		 Presentation data mining, time series analysis, link analysis, model deployment, outlier, k-nearest neighbors, proc princomp source 31
131 New Visualisation in 8.2 Stuart A. Nisbet Presentation ods rtf, time series analysis, ods html, ods pdf, response variable, series plot, time variable source 32
132 Nokia activating m-Intelligence Jukka Riivari Presentation source 27
133 OLAP Best Practices - What You Need to Consider When Building and Deploying an OLAP Application Adrian Bruty Presentation business intelligence, proc sql, sas enterprise guide, sql server, star schema, proc step source 35
134 Overcoming Cross-Platform Issures using SAS/Connect and Java John M. LaBore,
Michael J. Pell,
Randy Curnutt		 Integrating multiple hardware/software technologies is a problem common in large organizations. End users often must be technically savvy to accomplish tasks requiring transactions on more than one platform. For example, statisticians may spend a great deal of time with 'systems programming', when they should be doing what they were hired to do: analysis and experimental design. We explore different methods using SAS/CONNECT and Java to simplify day-to-day tasks of end users. Java enables business applications and SAS/CONNECT can easily connect disparate systems to one another. One such solution is a web- based Java applet that provides a point and click user interface for seamlessly transferring SAS or non-SAS data from one platform to another. Java applets can dynamically generate SAS/CONNECT programs to run on the most appropriate platform (OS/390, UNIX, NT, PC, Linux, etc) dataset, proc step, delimited file, raw data, txt, macro definition, excel source 5
135 Overview of Risk Dimensions Rik van de Weerthof Presentation market risk, credit portfolio, portfolio risk, credit risk, sas risk engine, variance, data governance source 34
136 Phillips Petroleum Company-Norway Henning Lillejord,
Pål Navestad		 Presentation source 5
137 Planning and Budgeting with Total Financial Management: How we are automating the budgeting process within SAS International Headquarters Jonathan Jones Presentation crosswalk, excel, data cleaning source 29
138 Portable Strategy Andrew Pleming,
Stephan Haux		 Presentation source 17
139 Practical SAS/IntrNet 8.2 - Point and Click Web Pages with Design-Time Controls amongst other things! Ingrid Hertel Presentation data step, proc step, capacity planning, file statement, resource allocation, sas programming, sample source 30
140 Preventing surrender by holders of life insurance policies Gerhard Braas Presentation lapse rate, life insurance, data mining, policy, customer satisfaction, data wrangling, do over source 20
141 Productivity and strategy in Portuguese banks: a qualitive and quantitative approach for IT investment analysis Luis Valadares Tavares,
Manuel Joao Pereira		 Presentation scenario analysis, financial services source 22
142 Profiling Your Customers in One Click with SAS: An Automotive Industry Case Study Andrea Dorigo,
Corrado Marozzo,
Giovanni Lux		 Presentation data mart, access control, customer segmentation, source count, output delivery system source 41
143 Providing SAS with a Voice Pankaj Mistry Presentation credit risk, proc sql source 22
144 Querying Star and Snowflake Schemas in SAS Bart Heinsius Star schemas, and sometimes snowflake schemas, are often used in Data Warehouses as the storage structure for dimensional data that is to be queried efficiently. In Data Warehouses built using SAS Software, star and snowflake schemas can also be implemented. Star and snowflake schemas in SAS can be queried using SAS SQL or the SAS DATA STEP. Tests have shown that using the DATA STEP can result in significant performance gains over SQL. This paper will discuss the use of star and snowflake schemas in SAS and will look into the performance issues that arise. Then, a number of techniques are discussed that address these issues. They involve bitmap indexes and DATA STEP code generation from dedicated metadata. Then, the Star Class is introduced, which implements these techniques. This paper should be of interest to Data Warehouse architects and builders and to OLAP application builders working with SAS Data Warehouses used for dimensional querying proc sql, fact table, star schema, sample, snowflake schema, dimension table, proc step, sas base, index, foreign key, lookup, bitmap source 5
145 Rapid Development of an ALM System Irmantas Kamienas Presentation interest rate, data mart, alm, capital adequacy, interest rate risk, net interest income, variance, interest, market risk, excel source 20
146 Realization of DataWareHouse in the Sector of the Building Patrick Duchateau Presentation sas base, sas enterprise guide, macro loop, excel source 28
147 Reporting in OS/390 Intranet Antoni Canals,
Esther Remiro		 Presentation proc gchart, capacity planning, ods html, ods listing, output delivery system, proc step source 21
148 Reporting on Broadvision data: what are the advantages and how is it done? Christine Le Bras Presentation bank transaction, log source 13
149 Repsol YPF - a complete implementation model of balanced scorecards in the oil and gas sector Antonio Arce Presentation data visualization, profitability analysis source 24
150 Risk management and IAS reporting at Deutsche Postbank AG Harmut Komme,
Jan Olaf Weber		 Presentation credit risk, savings account, financial reporting, liquidity gap, interest rate, market risk, correlation source 23
151 Risk Simulation with SAS/IML - Corporate Insurance Solutions for Fortune 2000 companies Boris Weimann,
Gero Niessen		 Presentation business intelligence, outlier source 20
152 S-Vertrieb Control (SVC) - A report platform for the savings banks' active distribution control Peter Wolpers,
Timo Holtig		 Presentation source 19
153 SA Nostra: Total CRM With SAS - One Step Forward from analytical to operational Antoni Canals,
Javier Rojas		 Presentation output delivery system source 34
154 Sales Force Management Through Intranet Anna Surova,
Jan Maly,
Jaroslav Kafka		 Presentation data mart, best response, outlier, management reporting, actuarial reserve, data cleaning source 21
155 Sales Tools in BANCAJA For A Multi-Channel And Customized Distribution of Financial Services Jose M. Narciso Presentation credit card, distribution channel, life insurance, sas risk engine, sample source 16
156 SAS "Eternity" Project Leonardo Flora Presentation source 10
157 SAS & IUT of Vannes: 15 years of Partnership for Higher Competences in the Business Intelligence Economy Ariane Liger-Belair Sioufi,
Jean Le Nouvel		 Presentation business intelligence, data governance, data mining, pharmaceutical industry, sas/stat source 21
158 SAS 8e Release 2: An Overview Achim Granzen Presentation sas base, data mining, sas enterprise guide, output delivery system, proc report, proc sql, proc step source 29
159 SAS and CFMS Integration - Attacking Fraud in Next Generation Networks Augusto Argento Presentation data mining, quality of service, confidence level, proc hpsplit, type i error, missing value, neural network source 35
160 SAS and Lotus Notes, an ideal combination for webpublication Erwin van Dongen Presentation output delivery system, proc step, excel, proc tabulate, ods html source 26
161 SAS as a Financial Controller of day-to-day business Andrei Trifonov,
Roman Volynets		 Presentation balance, interest rate, data warehouse, sas base, retail banking, management reporting source 34
162 SAS Data Warehouse in the MKB Szekeres Csaba Presentation data warehouse, current account, data cleaning, data audit, data mining, customer profitability, completeness source 15
163 SAS Information Delivery Portal - Delivering Information to the Masses! Don Hatcher Presentation access control, role-based access control, business intelligence, data validation rules, sas programming, data cleaning source 36
164 SAS Integration Technologies - Yes we Can! Craig Stires Presentation sas enterprise guide, dataset, business intelligence, access control, spk file source 64
165 SAS Process Intelligence: Closing the "Knowing-Doing" Gap to Deliver Value Through Process Efficiency, Effectiveness and Adaptability Ian D. Cox Presentation key performance indicator, data mining, data science, sas enterprise guide source 38
166 SAS/ACCESS to R/3, Release 8.2: Ways to Access SAP BW Dietrich O. Banschbach Presentation sas enterprise guide, change data capture, dataset, flat file, star schema source 13
167 SAS/IntrNet Software - What is it, what has been added with release 8.2 and what can it do for your business? Ingrid Hertel Presentation data cleaning, sas programming, proc sql source 34
168 Scalable Performance Data Server - features of v3.0 David Annis Presentation proc step, parallel processing, proc sql, where statement, implicit sql pass-through, parallel group, by group processing source 26
169 Send in the Clones Philip Whittall Presentation proc step, proc transpose, class variable, data mining, data cleaning, sample, proc hpsplit, cdisc source 22
170 Servire al meglio ... la migliore clientela Giovanni Pietrobelli Presentation staging area, excel, customer segmentation, phase i, phase ii, phase iii, weighted mean source 49
171 Setting new Standards in Customer Satisfaction Measurement Henrik Helmholt Presentation customer satisfaction, sample source 19
172 Silcon.com - The who, what, when, where and why of e-business Tom Bureau Presentation data mining, sample source 27
173 Simulation of risk values as a powerful tool of risk management optimization C. Windolph,
E. Honak		 Presentation credit risk, default rate, variance, sas base, parallel processing, data science, stress testing source 19
174 Social Security spreads information on the Web Antonio Alonzi,
Claudia Carletti		 Presentation proc download, proc tabulate source 32
175 Software Validation in Clinical Trial Reporting: Experiences from the Biostatistical & Data Sciences Department Andrea Baker Presentation data cleaning, quality control, clinical trial, clinical data, adverse events, raw data, validation documentation source 25
176 Statistical Analysis for analytical methods validations A. Vanassia,
E. Tizzani,
Nguyen Van Danh,
R. Corneo,
V. Nanni		 In analytical chemistry every new analytical method, after the development step, must be validated before routine use. The validation process consist to evaluate the method results obtained with some statistical approaches in order to define the systematic errors and application limits. data cleaning, confidence interval source 9
177 Strategic Financial Management at PZU Life: Business Benefits from Data Warehouse and CFO Vision Integration Marek Wilczewski Presentation life insurance, data cleaning, data warehouse, load, distribution channel, ledger, management reporting source 42
178 Strategic Vision - Implementation Challenges - Speartek Update Henning Dekant,
Stefan Gossler		 Presentation cross-sell, sas enterprise guide source 22
179 Successful certification program - successful projects with certified personnel Bernd Steinmetz Presentation business intelligence, customer segmentation, sas programming source 23
180 Supplier Relations Management - A knowledge based approach to e-procurement Jennifer Major Presentation source 35
181 Supplier Relationship Management Steve Oestreicher Presentation flat file source 20
182 System OPENK - Corporate Customers Profitability Analysis Krzysztol Marczak Presentation corporate banking, mis source 2
183 Taming the CRM Information Explosion - The Power of Two: EMC & SAS Marco Lang Presentation business intelligence, dataset, data governance source 12
184 Teaching statistics and the SAS System Barbara G. Schneider This presentation offers ideas and examples for using the SAS System in teaching statistics to students in medicine and to physicians. Two parts will be discussed. The first part describes features already available in the SAS System. The second part introduces an educational application. This application is a visual demonstration of elementary statistical notion. Topics such as the influence of changing the parameters of a distribution on the shape of the distribution and the variability of a point estimator are discussed. The demonstration is developed on a PC (Windows) using Base SAS , SAS/GRAPH , SAS/INSIGHT and SAS/AF. SAS Version 8.1 SAS code will be shown. The presentation is aimed at people who are interested or involved in teaching statistics sample, binomial distribution, normal distribution, probability functions, regression analysis source 10
185 Test On Line: reusing SAS code in WEB applications Carlo Ramella The Proway System is a powerful complete system for Process and Testing Data Analysis in IC industry environment. The system, based on a classical client-server architecture, is designed to access several databases at the same time, placed in different sites all around the world, moving and computing very large sets of data. A complete set of statistical analysis (tools) have been written using SAS procedures (histogram, box plots, scatter plots, bar charts, statistical reporting, and so on). The increasing number of users (more than 3000, on four continents), with different levels of skill in different application areas, led to design a new generation of tools dedicated to fast, light and very specific analysis. The new architecture includes the classic client-server tools for "heavy" analysis (SAS datasets of 1 Gigabyte are not so unusual in these cases) and a new set of WEB tools for quick reporting connection string, proc sql source 7
186 Testing for the geographic representativeness of data subsets - The Nugget Effect or Degress of Difficulty Frederick D. Busche Presentation sample, frequency analysis, data mining, sample size, proc freq, sas base, test set source 21
187 The << Net Interest Margin >> of the BBL Bank Controlled, Analysed and Justified using SAS OLAP Solutions Ida R. Carapelle,
Michael Berton		 Presentation net interest margin, business intelligence, data mart, beta distribution, financial services, crosswalk, excel source 30
188 The Automated Scoring Application Project Carl A. Touchie Presentation data mining, sas base, credit card, cross-sell, customer profitability, extract, numeric functions source 22
189 The data mining process and SAS Enterprise Miner in Elisa Communications Corporation Jaana Jarvelainen Presentation data mining, communications service provider, service provider source 20
190 The Data Warhousing Process in the Development of Traffic Emission Information System of ATENA Project in Naples Giovanni Meccariello,
Livia Della Ragione,
Mario Rapone		 The aim of this paper is to outline solutions related to access, management, analysis and presentation of data coming from a consistent data base in the development of a traffic emission information system carried on within the ATENA Project. This is a large car fleet test started in the 1999 in the urban area of Naples, realized in cooperation between FIAT Research Center, Naples City Hall, ELASIS, the University "Federico II" and the Istituto Motori of National Research Council of Italy. The scope of this project is to create a decision support system for urban traffic management based on a traffic monitoring system. The information acquired on the road by cars is analyzed to determine typical driving behavior related to a combination of traffic conditions and road characteristics. This presentation shows the data warehousing process in the development of the Traffic Information System. Raw data base, SAS dataset and statistical codes are presented as well data science, output delivery system, data warehouse, proc step, raw data, scatter plot, proc means, bar chart, contour plot, line chart, multivariate analysis, histogram, proc freq, proc princomp source 12
191 The Dynamic Scorecard Lifecycle - Balanced Scorecard ING Bank Joost Muller,
Popko de Vlugt		 Presentation business intelligence, financial services, management reporting source 30
192 The Intelligence Layer - an Organized Approach to Business Intelligence Allan Russell,
Stefan Gossler		 Presentation business intelligence, data cleaning, customer profitability, model deployment, correlation, proc freq source 57
193 The Managing Information System (S.I.D.) of the Civil Servants' Health Insurance Isabelle Richard,
Joseph Garacoits		 Presentation output delivery system, insurer, extract, dataset, health insurance, production run source 48
194 The Municipality of Venice Data Warehousing Project Francesco Negrato Presentation data science, extract source 43
195 The Portfolio Forecasting System Paul Alton Presentation loan, sample, retail credit risk, net interest income, credit risk, current account, economic capital source 25
196 The R in CRM Stands for Risk & Respect from Customers, not Relationships Huw Davis Presentation customer segmentation, product profitability source 37
197 The Risk Control Process in the Management of a Diversified Banking Group: the case of Monte Paschi di Siena Group Pierfrancesco Cocco Presentation credit risk, interest rate, liquidity risk, market risk, risk exposure, interest rate risk, data warehouse, counterparty risk, operational risk source 28
198 The SAS Solution for Enterprise Marketing Automation - Opening Session Demo Nelle Schantz,
T. Randall Betancourt		 Presentation data mining, propensity score, data wrangling, data warehouse, credit card, response variable source 43
199 The SAS Text Mining Solution Bernd Drewes,
Wayne Thompson		 Presentation data mining, numeric variable, nominal variable, parsing, dataset, data cleaning, neural network source 22
200 The SAS/UK Clinical Data Management Knowledge Solution Ian Pimblett Presentation data cleaning, dataset, 21 cfr part 11, clinical data, audit trail, clinical trial, proc print source 23
201 The spider in the Web for your everyday HR business - Corporate human resources data warehouse for logistical service provider Niels Stout Presentation service provider, business intelligence, data warehouse, management reporting, sas base, raw data source 25
202 The sweet side of web warehousing Alan Buda,
Daniele Frisoni,
Leonardo Modeo		 Presentation data mart, natural key, logistic distribution source 21
203 The Use of Enterprise Miner with Large Volumes of Data, for Forecasting in an Automated Batch Process Justine Eastman Presentation data mining, regression analysis, feature selection, oracle, score code, time series analysis, outlier source 12
204 Total Financial Management beyond the new economy Suzanne Palkoski Presentation customer profitability, financial reporting, product profitability, cash management, internal audit, management reporting, profitability analysis source 34
205 Trade Customer Intelligence Massimo Fabris,
Stefano Lanzoni		 Presentation data mart, data warehouse source 24
206 Two e-intelligence case studies - a ank on line and a financial information portal Christine Le Bras Presentation correlation source 22
207 Uncovering Service Levels Fabio Veronese Presentation data wrangling, ods html source 26
208 Unique utilisation of new business opportunities through integration with traditional channels: Experience and expectations Mik Kristensen Presentation output delivery system source 36
209 Use of SAS V8 and SAS Enterprise Guide in the Federal Statistical Office of Germany Ernst Schrey Presentation sas enterprise guide, seasonal adjustment, data warehouse, sas base, sas programming, excel, regression analysis source 18
210 Using OLAP and the Web for information about local governments in Lombardy Antonio Lentini Presentation business intelligence, structured data source 28
211 Using SAS Enterpise Miner Analytical CRM in Finance Sascha Schubert Presentation attrition, next best action, data mining, cluster analysis, credit card, financial services, resource allocation source 33
212 Using Version Control and Configuration Management in a SAS Data Warehouse Environment Steve Morton Presentation data warehouse, catalog source 45
213 WAP! WAP! Know Your Network Performance! Anywhere! Any time! Marc-Andre Bumann Presentation access control, trouble ticket, sample source 25
214 Web and Data Warehouse technology combined in a pharmaceutical decision support system Christine Vander Vorst Presentation business intelligence, clinical trial, data cleaning, clinical research, sas consultant, star schema, normalization source 29
215 Web clickstream analysis to understand customer behaviour Erika Blanc,
Paolo Giudici		 Presentation odds ratio, data mining, confidence interval, association rules, estimate, sample size, sample source 21
216 Web Enabling SAS Output Darryl Lawrence Presentation ods html, macro variable, macro definition, macro facility, sas enterprise guide, proc sql, term life source 29
217 Web Performance Management: A SAS Solution Approach Frank C. Lieble Presentation correlation, cell congestion, structured data source 27
218 Web warehousing and data exploitation of accidents in working environments - ISPESL Paolo Montanari Presentation proc freq, data wrangling, vertical bar chart, data warehouse, dataset, standard deviation, excel source 33
219 Web-Based OLTP System Using SAS Haidong (Don) Tang Presentation proc sql, sysrc, constraint, macro conditional, data warehouse, proc step, key source 75
220 Web-enabled inquiries on operational data store at KBC Jurgen Druyts,
Pascal Verschaeve		 Presentation ledger, temporary dataset, work library, exposure management, permanent library, private banking, data cleaning source 26
221 WebHound: Your Best Friend for Tracking Web Traffic Frank C. Lieble Presentation customer satisfaction, link analysis, data cleaning source 37
222 WebMining Goncalo Abreu,
Pedro Marques		 Presentation data mining, proc hpsplit, correlation, data cleaning source 15
223 WELFARE - Wells, Field Analysis, Reservoir Evaluation C. Mouret,
J. F. Coste,
J. P. Valois		 Presentation proc step, dataset, hierarchical clustering, raw data, excel, regression analysis, sas output source 50
224 What is missing in campaign management today? Shaun Doyle Presentation data mining, customer profitability source 18
225 What's new in AppDev Studio 2.0 Anton Fuchs Presentation production run, excel source 41
226 What's New in SAS/Warehouse Administrator Software Wilbram Hazejager Presentation mp connect, sample, star schema, data warehouse, proc sort, proc means, proc step source 43
227 Windows NT Server Configuration and Tuning for Optimal SAS Server Performance Carl E. Ralston,
Susan E. Davis		 Presentation bufsize source 25
228 Wireless, hype or reality, can you really apply it to the business? Stephan Haux Presentation quality of service, logistic distribution source 20

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