SEUGI 1996 Papers - Index

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

#	Title ×	Authors ×	Abstract ×	Keywords ×	Extras	Pages
1	A few quick tips concerning base SAS software	John R. Whittington	A few simple aspects of Base SAS are discussed which seem to be unfamiliar to even some very regular users of SAS. In particular, the 'special format' of output available from `PROC PRINT`, the use of the colon 'informat modifier' and various aspects of SAS 'variable lists'	proc print, variable list, colon modifier, list input, proc step, name range list, retain, input statement, sas base, numbered range list, length statement	source	4
2	A hedonic price index of the house price statistics	Hannu Lehtimaki, Markku Verkkoniemi		binary variable, proc step	source	5
3	A management application regarding availability of the company information service ...	Luisella Barbano, Monica Barnicchi		artificial intelligence, capacity planning	source	15
4	A method for identifying cut-off points in clinical investigations	Eoin O'Brien, Neil Atkins	The growing array of medical investigation equipment provides ever more data both in vol ume and type. While enabling more accurate analysis and finer subclassification of medical conditions new cut-off points for determining positive results must me identified. Accuracy of diagnosis may be compounded by data noise and the unavailability of a true end- point, thus requiring a surrogate end- point. The sensitivity, specificity and predictive values of diagnostic tests are crucial in determining their usefulness. However they can also be used to determine cut off points.. The cut off point can be determined by Max(Sensitivity v - (1 - Specificityv)), v = min to max The Senstivity and Specificity of each possible result value are determined and ther 'sum minus one' is calculated to test its suitability as a cut off point. The maximum of this calculation is the best cut-off candidate	likelihood function, negative predictive value	source	10
5	A network to solve your problems	Martin Duffy	Capacity planning is getting harder, more machines, bigger networks and service level agreements have combined to make life tough for capacity planners. To stop nervous breakdowns amongst capacity planners new tools, such as `SAS/CPE` , have been developed. These tools have lightened the load considerably but more is needed. Problems like at current rate of growth will we meet the SLA in 2 months? what percentage CPU usage will the mainframe be running at two days from now? were very difficult to answer. But not now! Neural networks are a form of data analysis that can help you answer hard questions about your hardware. This paper will demonstrate how these methods can be applied to the area of computer performance management	neural network, capacity planning, training set, regression analysis	source	7
6	A Practical Application of a SAS Data Warehouse in Clinical Trial Reporting	Christine Smith, David Smith		adverse events, data warehouse, clinical trial, raw data	source	6
7	A product/customer profitability system based on a data warehouse	Marcin Romanowski		time series analysis, credit risk, customer profitability	source	9
8	A SAS Macro to Present a Summary Table of the Number of Patients Having Experienced Adverse Events in a Clinical Trial	Christoph Gerlinger, Ursula Franke	One of the major concerns when testing a new drug treatment are adverse events. An adverse event is defined as any medical event that is experienced by a patient in the course of a clinical trial and that compromises the patient's well-being. This definition includes diseases as well as accidents. For presentation and analyses, adverse events are coded using standardised terminology. These classifications have hierarchical levels of detail. For example, the COSTART code consists of "body systems" which are divided into "subcategories" which are themselves subdivided into "terms". A summary table of the number and percentage of events can be easily computed using `PROC TABULATE`. However, it is not possible to present in the same way the number of patients having experienced at least once an event which falls into a given category, since a patient may have several events of the same kind or several events which fall into the same category of a higher level	adverse events, proc step, proc tabulate, clinical trial, dataset, where statement, macro definition, proc means	source	8
9	A SAS-Macro for the Welch t-Test procedure in the many-to-one design	Carina Ortseifen	In real data situation of many -to-one designs the classical ANOVA assumptions - normal distribution and homogeneity of variance - are sometimes violated. Actual size and power of Dunnett's procedure and selected many-to-one multiple comparison procedure competitors (step-up procedures included) were studied in a simulation study under violation of normal distribution, variance heterogeneity and unbalancedness (Ortseifen, 1995). Although no 'uniformly most powerful' procedure was found for these real data situations, Welch- t-tests in combination with a step-up procedure seems to be a good alternative to Dunnett's procedure in the case of variance heterogeneity. Up to now (i.e. SAS Release 6.10) the SAS -`PROCEDURE GLM` only calculates Dunnett's procedure for testing a control group versus multiple treatment groups. The presented SAS macro MANYONE was therefore developed to calculate Welch t-test procedure for the many-to-one design	sample, macro definition, welch t-test, degrees of freedom, normal distribution, proc ttest, anova, macro call, sample size, proc genmod, %macro parameters	source	5
10	A SAS/AF software application for sample size and power determination	Fiona Portwood	When planning a study, such as a clinical trial or toxicology experiment, the choice of sample size (i.e. the number of patients or animals to use in the study) is a critical part of the study in order to ensure that the desired conclusions of efficacy or equivalence of the test treatment are successfully demonstrated at the end of the study. Since there are no SAS procedures for performing these calculations, the task of tracking down the necessary background information and the correct statistical formulae can become an obstacle, which may result in researchers being tempted to guess at an appropriate sample size. An application has been developed by the author using `SAS/AF` software which incorporates the various statistical formulae for sample size selection and power determination behind a user-friendly, point-and-click graphical interface	sample, sample size, null hypothesis, degrees of freedom, treatment effect, significance level, alternative hypothesis, parallel group	source	8
11	A tutorial introduction to the Data Step Graphics Interface	Jonas Johansson		sysrc, data step	source	5
12	A vision of the future for personal lines insurers - Data warehouses, Neural Networks and all that	Geoff Trahair		risk selection, rating factor, proc genmod, proc freq	source	30
13	About adjustment of method of banks' rating	S. G. Melnikov, V. E. Sorokoumov		confidence interval, balance	source	5
14	Accounting business process consumption in SAP System R/3 environments. How to gather relevant data and to put in SAS-CPE	Herbert Pfeifer		proc contents, verbatim term	source	7
15	Accounting of a large TCP/IP network with SAS/CPEr software for open systems at Deutsche Telekom AG	Reinhold Schlupmann		cpu time, financial services	source	10
16	Activity-based costing: theory and practice	Kristien Smets, Solange De Bondt		consistency, distribution channel	source	19
17	ADAS - Swissair's dynamic SAS/AF software aircraft data analysis program	Peter Flach	Swissair uses an Aircraft Data Acquisition System (ADAS) on all aircraft. During all flight phases many values are recorded and then processed after flight at the Swissair Computer Center. The presentation shows the user interface to the application functions and SCL program technics: 1. An overview of the ADAS system shows the datahandling in the air and on the ground. 2. Menupoints are table controlled. The concept will be introduced by an example. 3. The application is build out of standardized list- and record-programs. The concept will be introduced by an example	data wrangling, access control	source	9
18	Adding a truly new function to the SAS System	Aad J. van Strien	s with most companies, KLM Royal Dutch Airlines keeps in touch with customers and suppliers through telephone and tele- fax. On October 10, 1995, Dutch PTT Telecom re- placed some 75% of all Dutch phone numbers with new, 10-digit numbers ('On 10/10, switch to 10'). Hence, all references to phone numbers stored in computer files and databases needed to be updated. Since data processing is heavily decentralized at KLM, central renumbering was not feasible. Ac- tion was required by systems controllers and appli- cation managers throughout the company. To aid these systems controllers and application managers, KLM developed a SAS tool to perform renumbering with minimum effort, at minimal cost, and suitable for inclusion into existing appli- cations with only marginal impact on perfor- mance. This paper reveals techniques used to construct the renumbering tool, an almost 'plain vanilla' SAS function	proc format, proc step, proc sql, macro variable, if-then-else, macro definition	source	5
19	Advanced Imaging	Jan Klaverstijn			source	11
20	AKHSTAT - a hospital data warehouse	Peter Seelig	AKHSTAT is composed of a databasemanager, a usermanager and the AKHSTAT report and datamining. Databasemanagement controls the data import from the diffe rent data sources into a ORACLE-RDB including datacheck for consistence and integrity. All data items are defined in a datadictionary as well as logical entities and their relationships. Altering and creation of tables in 3NF as well as key definitions are proposed by system. Data import programs are generated automatically. Within Usermanagement authorised data access for views and variables is defined for each user. AKHSTAT report and datamining is the very easy and guided way to make reports, statistics and graphics on authorised data. Both, selected data can be saved as snapshot and analyses defined by the user can be saved as objects for later execution. AKHSTAT is object oriented and written is SAS screen control language	data governance, proc step, proc sql	source	13
21	Alentejo agriculture after Portugal's accession to the European Union	Amilcar Serrao	The economy of the Alentejo region has changed since the entry of Portugal into European Community in 1986. Crop production decreased and livestock production did not rise significantly in the Alentejo region. On the other words, farm income and employment have been decreasing in the Alentejo region since the entry of Portugal into European Community. The problem of this research is the lack of prosperity of Alentejo agriculture after Portugal's accession to European Community. The research objective is to assess the impact of the Common Agricultural Policy on crop and livestock production in the Alentejo agriculture during the first stage of Portugal's accession to European Community. A quantitative approach is developed to accomplish this research objective. This approach has two stages. The first stage estimates a dual profit function and a set of outputs and inputs share equations	price elasticity, residual	source	9
22	An automated sales forecasting system	UNKNOWN	Presentation	proc step, proc arima, proc autoreg, proc forecast, mape, batch job, akaike information criterion	source	67
23	An early warning system for credit risk management	UNKNOWN	Presentation	credit risk, retail banking, transaction monitoring, excel, proc sql	source	29
24	An Executive Information System for the bank's management based on multi-dimensional tools within the SAS (SAS/EIS-Motore)	UNKNOWN	Presentation	mis, management reporting	source	4
25	An object-oriented simulation and forecasting tool with the SAS System	Wilfried Schollenberger		monte carlo, management reporting	source	6
26	An overview of data mining with the SAS System	Gerhard Held		data mining	source	29
27	An SQL Tutorial - Some Random Tips	Paul Kent		proc sql	source	61
28	Applications Development Facilities in the Orlando - Part 1	Thomas Becker		catalog entry, dataset	source	47
29	Applications Development Facilities in the Orlando Releases - Part 3	Karin Essmann			source	5
30	ARIMA-model application for forecasting futures markets	A. E. Smirnov, S. V. Kutsev, V. E. Sorokoumov		time series analysis, moving average, correlation	source	4
31	Assessing Risk in the U.K. Contributions Agency	Jim Rynn		sample, management reporting	source	22
32	AUA Highfly using SAS software: an MIS application upon the SAS Data Warehouse on MVS	Anton Novak			source	5
33	Backtesting or backestimating: an overview	Gerhard Stahl		binomial distribution, type ii error, sample, probability distribution, likelihood function, bayesian statistics	source	7
34	BEAM - an interactive GIS application for fish stock abundance estimation	A. Totland, L. Soras, O. R. Dodo		proc step, proc report, sample	source	16
35	Building a metric information system to monitor UNIX, Bull and MVS systems	UNKNOWN	Presentation	batch processing, neural network, extract, quality control, correlation, sample	source	33
36	Building an efficient data warehouse: understanding the issues of data summarization and ...	Scott Anderson		data standard, dimension table, data mining, fact table, foreign key, parallel processing, star schema	source	52
37	Building Fenniaservice Reporting System with Object-Oriented Tools	Jouni Javanainen		bar chart, reporting	source	3
38	Building GUI Frontends with the SAS System	Christer Bodell			source	11
39	Business geographics and Database Marketing with the SAS System	Bengt Bengtsson		neural network, where statement, data science	source	15
40	Business intelligence: turning data into action	Howard Dresner		business intelligence, network capacity	source	36
41	Cash Processing Strategy Project	Jan Remmerswaal		flat file	source	18
42	CFO Vision: Financial Consolidation and Reporting	UNKNOWN	Presentation	business intelligence, ledger, profitability analysis, excel	source	17
43	Changes and Enhancements in Release 6.11 of the SAS System for Open Systems	Jochen Kirsten			source	26
44	CHEOPE - an MIS for BPM	Mauro Valsecchi, Sergio Amidani	The application presented by Banca Popolare di Milano is the first practical result achieved while implementing the conceptual model of the Executive Information System of the Bank. The system - called Cheope after the Italian name of the Pharaoh who built the largest pyramid of Egypt - works on a single data-warehouse, precisely designed to meet the needs of the management. This data-warehouse consists of a large amount of synthesis data, coming from both inside (for instance, internal control procedures) and outside sources (like the Bank of Italy's back flows). Cheope places this data collection to the user's disposal, offering the managers true multidimensional data search through any path allowed by the different company "data- dimensions", joining and/or disjoining data according to the SAS System D.S.S. tools	internal audit, mis	source	5
45	CIDS: A generic, SAS based data warehouse application	Wiel Maessen	This paper shows some window samples from the Data warehouse/OLAP application designed and built by PW Consulting BV. The application is completely built using `SAS/AF`. The concept of CIDS is shown below: Database ASCII/ EBCDIC file Analysis- database Primary systems Server Import Workstation Analysis Reporting	data warehouse, dataset	source	12
46	Comprehensive data management with the SQL Query Window	Stephen Rees		proc sql, where statement, data dictionary, proc report, create table, sas output, sql server	source	17
47	Computational Changes in the Analysis of Data from Case-Control Studies	Anette Pfahlberg, Olaf Gefeller		logistic regression, likelihood function, data science, logistic distribution, regression analysis	source	9
48	Computer-aided sales forecasting (CAS-FO) and the art of planning - a paradox?	Thomas Schmidt-Melchiors, Wolfgang Schum	It is commonly accepted that sales forecasting and planning is a key business issue - at least in mass consumer good industry and trade more than barely applying some time series methods to past sales figures Whether planning is an art may be questionable. However, often in practice providing sales forecasts looks like artistic bala ncing in a framework of multiple spreadsheets containing a variety of formulas and functions as well as many hidden influence factors by which the planner seeks to improve the forecast using his marke t expertise. Managers this often reminds of a modernised, figure -based and tool - supported but nonetheless mysterious glass bowl	time series analysis, outlier	source	12
49	Controlling looping code structures	John R. Whittington	In common with all programming languages, looping code constructs are a major part of the SAS Language. The type of looping constructs found in the SAS Language are reviewed and discussed, with particular reference to the facilities available for program flow control within these loops	do loop, conditional do loop, output, goto	source	3
50	Corporate network capacity planning - is there a need?	Richard Seery		capacity planning, network capacity	source	44
51	CPE an experience	Patricia Mol		data governance, format statement	source	20
52	Data Warehouse at the Association of Hungarian Insurance Companies (MABISZ)	Attila Papp, Istvan Janosi	The central information delivery system of Hungarian insurance companies (MABAR) has been established in order to collect, store and evaluate data, relevant to various fields of insurance industry, and also to support data-exchange between the companies. The data- source of MABAR, which was put into operation at the Association of Hungarian Insurance Companies in May 1995, is a very heterogeneous system with a wide range of different hardware configurations from networked PCs to IBM mainframes. The collected data are processed, checked for validity and summarised. The system offers a wide range of tools for evaluating from many aspects the aggregated data. The data- collection and processing are based on three -level principle of the DATA WAREHOUSE theory. The Datapost subsystem on the MANAGE level deals with data files (or as we call them: primary data) arriving from or being sent to insurance companies on several types of media	insurer, data dictionary	source	8
53	Data Warehouse: design and implementation	Paul Murray		incremental load, data dictionary, data mart, sas base, reference data, proc step	source	8
54	Data warehouse: the critical link between operations and marketing	Ronald U. Telson		data warehouse	source	18
55	Data Warehousing	Sean Kelly		data warehouse, kyc, business intelligence, data mart, data validation rules, data standard, customer segmentation	source	31
56	Data Warehousing the Niklas Data Way - Method and Experiences	Helen Karlsson			source	8
57	Database marketing with the SAS System	Joanna Crosse, Linda Saul		cluster analysis, neural network	source	42
58	Diagnostics and estimation procedures of quantitative dose response relationships using SAS ...	Hans-Peter Altenburg	The dependance of all-or-nothing effects from the dose of some drug or agent were described by probabilistic models in many papers and the corresponding biometric methods have been used in many fields of bioassay. Since the times of probit or logit models introduced by Bliss (1934) many statistical improvements are developed and standard software like the SAS `PROCEDURE PROBIT` is available to solve related problems. The use of continuous response variables arose with modern measurement techniques such as RIA, IRMA or ELISA methods. We present a probabilistic model taking into account the underlying experimental situation that can describe quantitative dose response relationships. The expectation is thereby given by a nonlinear four -parameter sigmoid function. The heteroscedasticity of the observed values can be modeled by a variance formula which contains the expectation and an additional nuisance parameter	outlier, generalized least squares, regression analysis, likelihood function, proc reg, distance measure, robust estimator, macro definition, logistic distribution, poisson distribution	source	8
59	Discussing SAS Software for successful decision making	Tonny Dierckx			source	31
60	Early quality assessment in data warehouse loading	Jan Wilem van der Grijp	The Data Resource Department of a large Dutch retail bank is responsible for providing a high quality, frequently updated Data Warehouse used f or marketing purposes such as Direct Marketing activities, Marketing Analysis and Customer Segmentation. The Data Warehouse is also used for providing information for Marketing Policy forming. The data sources for loading the Data Warehouse come from varying systems such as product administrations, transaction systems, a relations management system and external sources. One of the future targets is speeding up the frequency of updating the Data Warehouse. One of the conditions to perform the loading process largely unattended and at a higher frequency is the prevention of loading erroneous data from the source systems. Therefore a data screening filter is needed, which assesses the quality of the data in a source file and then lets the file pass for loading into the Data Warehouse if the quality is judged satisfactory	raw data, data dictionary, proc freq, data cleaning	source	13
61	Effective use of attachments in designing user interfaces	Andrej Naavodnik	A developer of object-oriented applications has a possibility to build an intuitive graphical user interface. Since applications run on many screen resolutions, not just on single one, we need a method to specify spatial relations between different regions on the screen. These relations are called attachments. They specify that when one region is moved or resized, other regions are moved or resized automatically. In the paper there are presented basic concepts of the attachments and their usage. There are presented some theoretical problems related to attachments and their solutions. There are presented some practical solutions as well, how to design user-interface and the usage of SCL programming language for defining attachments		source	54
62	EIS and data warehousing applications in the telecommunications industry	Garth Brown		transaction data, lookup	source	5
63	EIS Slovakia - The economic information system of the Slovak Republic	Josef Chajdiak		proc reg, by group processing	source	6
64	End to End Monitoring - A Solution not a Theory	David Smith	Both existing and proposed systems need to be measured not only as machine based resources but also at the point of delivery to the business. Legacy systems pose the most difficult problems for the introduction of End- to- End[E2E] monitoring and thus reporting against predetermined metrics [service level objectives] it is not unusual for the source code to have been lost or the necessary skills to have moved to another project. Thankfully there are solutions to these problems, by using carefully placed exits or patches into existing LU2 and LU62 applications at the PC delivery point. This paper discusses some of the possibl e solutions to implement E2E monitoring of legacy OS/2 front ended mainframe applications and develops a methodology to provide common monitoring of both new and legacy systems as input to the SAS CPE product for MIS provision	log, elapsed time	source	6
65	End to End Top to Bottom Service Development	Alan J. Knight		sas risk engine, customer satisfaction	source	9
66	Experimental analysis and SAS/EIS - reporting in semiconductor manufacturing	Randall S. Collica	Semiconductor manufacturing of integrated circuit (IC) microprocessor chips has advanced almost as much as the memory chip manufacturing in a few short years. It is not uncommon to find IC processor chips operating at frequencies into the 266-400 MHz range. Such complex processors have stringent manufacturing requirements for both chip yield, lithographic feature control, and other process controls in order to achieve high reliability and productivity while ensuring a monetary profit from the sale of these high performance chips. At Digital Equipment Corporation manufacturing Alpha AXP [1] microprocessor chips requires state-of-the-art analysis techniques and timely reporting of chemical process experiments and their impact on speed performance and chip yield/productivity	box plot, logistic distribution, proc genmod, sample size, proc step, sample, main effect	source	29
67	Exploiting OO in data warehouse applications	Wilfried Schollenberger	The new features of SAS Orlando, in particular composite widgets, the MVC (model/view/ controller) architecture, and the support for drag and drop, enable the implementation of new concepts for the user interface and the technical design of applications. Furthermore the benefits of a data warehouse can be improved by providing classes to access the data. A carefully designed OOAD environment allows building applications without using SCL in the FRAME entry. This paper discusses the principles which have to be observed when setting up such an environment in order to achieve the best performance. The demo shows a class library which supports a drag and drop based user interface and an object oriented access to a data warehouse. The class library shown in the demo is designed to be built in an OO workshop of one week	dataset, data warehouse	source	8
68	First experiences with EIS-Motore	Volker Schönborn			source	6
69	Flashing lights: - an effective way of treating remarks	Christel Jordens, Ludo Van Roey, Yvan Schotsmans	This paper will demonstrate a tracking system for insurance companies with regard to incoming remarks from its clients and the proposed solutions. Green, orange or red. "Flashing lights" points out the approaching danger. At that moment we know that we have to pay attention. A remark is a sign (a wrong action) and a question (is there a solution for my problem). With the form "Traffic Lights" the client can raise his remarks. This remark can be negative or can be an acknowledgement. The TQM teams accumulates all this information. - How many times (possitive or negative) - How did the client raise his remarks -Which solution did DVV offer The ultimate meaning of those flashing lights is an easy and effective way of treating remarks. The whole system is developed in SAS and runs on a MVS-mainframe. The data is stored in DB2- tables. Connection with DB2 is written in SAS-passthrough. SAS-BASE is used for reporting, the user interface is written with Frame-entries and SCL-code	proc step, proc sql	source	12
70	FRIEND - Building a true EIS, i.e. for everybody	Peder Blomgren		business intelligence, resource allocation	source	8
71	From 'Made in Bavaria' to 'Made by BMW': information processing in product auditing	UNKNOWN		consistency	source	37
72	Fully Integrated Systems for Clinical Development in the PharmaceuticalIndustry	Andrew Lawton	The power and flexibility of computer software and hardware grow and grow every year, yet the applications used within the pharmaceutical industry have not reached their potential. Rather than new applications letting us realised our dreams, they concentrate more on the trivia while purporting to deal with the global concepts	clinical data, data wrangling	source	5
73	Fuzzy Logic and SAS Software - Do they work together?	Markku V. Suni	Computer programs being based on logic, are full of logical decisions: IF this is so, THEN DO something; ELSE DO something else. An insurance company looking for prospective new sales might be scanning its databases trying to find customers who have expensive car or boat (based on the price of the insurance policy) but insufficient life cover. In real life we say it this way but a computer program needs precise statements in terms of X ECU or Y ECU. Any precise limit may be wrong: we may not find good cases of (X-1) ECU. What we really need is a way to translate the imprecise statement to computer program. Fuzzy logic can do this. It is a branch of logic dealing with imprecise information. It has solid mathematical background and it has been around for a while. Perhaps mostly used in control applications, fuzzy logic has also lot of use in financial applications and in data mining. As for SAS there is no `PROC` FUZZY, neither there is statement FUZZY for any procedure	data step, proc step, insurer, proc sql	source	23
74	Get Smart About Your Business	Thomas J. R. Emmerich			source	24
75	Getting more out of your SAP Investments	Francois Duquesne			source	65
76	Getting Started with a Geographic Reporting Systems	Steve Morton			source	18
77	Gonna Lay Down my Burden: A JCL Generator for SAS Batch Jobs	Andreas Fischer		batch job, sas batch	source	7
78	Graphical aspect of meta-analysis using SAS/GRAPH software and its specific annotate	Angelo Tinazzi, Fabrizio Carinci, Valter Torri	Although systematic reviews using meta -analysis as a tool for combining results from studies of related interest are increasingly common, the most developed statistical packages do not specifically support such kind of analysis. The graphical aspect is particularly interesting as it deals with several problems that could be solved using the SAS system's graphic module (`SAS/GRAPH`) and its specific graphic language (annotate functions). The use of this SAS instruments/techniques have permitted to define a procedure, which allows various options, that can be used with any form of data. %Graphmet, %Meta and %Petot, are three SAS macros that can permit the conduction of meta - analysis, both in terms of statistical techniques (i.e. Peto, Mantel & Haenszel) and in terms of graphical representation. Examples using these macro procedures in various medical fields, such as breast cancer, are also presented	odds ratio, p-value, data science, treatment effect, clinical trial, relative risk, proc step	source	15
79	GUI Report Writing	Georg Morsing			source	14
80	How can the SAS System add business benefit to the Pharmaceutical Industry in the Electronic Drug Submission Process?	David J. Shannon		pharmaceutical industry, clinical trial, data review	source	10
81	How to mix a cocktail by using SAS/AF and FRAME technology	Richard W. M. Jeurissen		sample, main effect	source	9
82	IBM APIBM APPS an Integrated Planning and Forecasting System	Andreas Rudolph, Sven Viergutz, Thomas Meintrup, Ulrich Scharffenberger			source	9
83	Implementing a datawarehouse in the existing infrastructure of a bank - A case study	Robert van Gemert		data warehouse, data dictionary, raw data	source	16
84	Improve your SAS? applications by using functionality built in the MS Windows API, such as accessing external DLLs, OCXs and OLE servers.	Johan Jerresand		txt, excel	source	9
85	Integrating Motore in existing SAS/AF software applications: the BASF ca	Francis Steelandt, Paul Conrady			source	5
86	Intelligent query and reporting against DB2	Jens Dahl Mikkelsen		proc sql, dataset, data warehouse, catalog, proc step, data science, full join	source	20
87	Is this the right solution? An example of producing descriptive tables including non-parametric estimates	Barbara G. Schneider	Descriptive statistics plays an important role in d ata analysis. Concentrating on qualitative ordinal or quantitative data `PROC UNIVARIATE` within the SAS System is an excellent tool for computing various estimates resulting in extensive output listings. In addition it is desirable to produce comprehensive tables of some of the estimates. `PROC TABULATE` allows overwiew tables in various styles. Unfortunately `PROC TABULATE` does not support non - parametric estimates (e.g. median, quartiles, interquartile range). A suggestion for a SAS program is made to produce such descriptive overview tables. The question has to be posed whether an additional option within `PROC TABULATE` can avoid such a time consuming process	proc step, proc tabulate, proc univariate, macro variable, proc print, proc freq	source	6
88	ISPO-EIS in the government of the Republic of Slovenia - expectations & requirements	Marin Silic	Presentation	mis, management reporting	source	6
89	ISPO-EIS in the government of the Republic of Slovenia - solutions and implementation	Dusan Kricej	This paper will give a reader a review of a very complex EIS project: ISPO (Information System for Decision Support for the Government of the Republic of Slovenia). This system has already been in production. It is an example how to control heterogeneous data sources through a data warehouse. The paper will present the key elements which are necessary for successfull implementation of the project. The practical presentation will introduce to the audience the 'real life' application built by the SAS System	data warehouse, extract	source	8
90	Macrodynamic information system to simulate tariff policy in the electricity sector	F. Mattei, G. Poleo, T. Ledda	The system aims to provide interactively the following: - construction of macroeconomic scenarios, - evolution of the impact of tariff policy and investments on the dynamic equilibrium of the main macroeconomic variables (prices, employment, income, consumption, import - export, national debt, interest rates). The system is based on a "partial adjustment" dynamic model formed by 14 variable equations with the objective of evaluating the variable paths taken in adjustment process towards a new equilibrium point. The system encompasses a sector by sector dynamic model to evaluate the effects of electricity tariff policy on the economy. The system permits the simulation and forecasting of macroeconomic variables by means of the interactive use of input data (exogenous variables), changes in parameters and chance to transform dependent variables into exogenous ones	proc step, proc model	source	18
91	Mainframe directions	Werner Bundschuh		proc step, macro variable, data step, proc genmod, proc mixed, proc report, proc sql	source	24
92	Managing the Monster ... Controlling and Using a Large SAS Data Warehouse	Ann S. King		proc format, proc sql, proc step, batch job, cpu time, create table, elapsed time	source	26
93	Marketing Information System	UNKNOWN		data warehouse, sensitivity analysis, data science, demand modeling, management reporting, marketing mix, benchmarking	source	22
94	Microsimulator builder - a client/server application	Eva Papp, Zsuzsanna Keki		sample, variable list, regression analysis	source	15
95	Motor and Household Insurance: Pricing to Maximise Profit in a Competitive Market	Tom Wright		price elasticity, proc genmod, proc step, predictor variable, response variable, rating factor, binomial distribution	source	10
96	MUDIS - a front ending multidimensional data exploitation application	Fritz Ederer		data standard, surrogate key	source	7
97	Multi-dimensional Data Model Extensions to Data Warehouses	Mikael Hagstrom		data warehouse	source	20
98	Multiple-entity tax planning and goal programming	Janet R. Gibley, Raymond A. Gibley	Goal programming applications occur quite frequently in government, business, and industry environments. Some typical applications include production planning, sales effort allocation, corporate planning, financial modeling, medical care administration, and governmental economics. The focus of this paper is on multiple entity tax planning with conflicting objectives. The problem presented is a simple description of a real world business situation. The scenario described encompasses a wide range of political, economic, and career issues. Furthermore, the management technology presented can easily be extended to higher dimensional decision modeling	regression analysis, artificial intelligence	source	5
99	Neural networks and/or classical statistics?!	Jorg Imhoff, Michael Wetzel		neural network, credit card, discriminant analysis, sample, covariance	source	19
100	Neural Networks Application: a case study	Rui Alexandre Henriques Gonçalves	Nowadays information is considered the top critical factor of success of any economic or social activity. Its volume and complexity have produced a large scale of non linear models that have made more difficult the use of conventional statistics and econometrics methods. With the development of new technologies new methods for data analysis have appeared. Neural Networks have been proving having capacities for production good results on systems with modelling processes to complicated for tradition methods	neural network, predictor variable, sample, training set, regression analysis	source	7
101	Neural networks for credit and behaviour scoring at Neckermann Versand AG	Hans-Peter Höschel, Rolf-Jürgen Müller		neural network	source	11
102	New Features for Object Oriented Development with the SAS System	Robert Owen			source	47
103	NLSSetup application for Orlando	Manfred Kiefer	All software used in a multi-dimensional environment must account for the differences in character sets and encoding schemes. It must also accommodate differences in conventional usage between languages, such as the differing usage of upper and lower cases. The SAS System provides several features to ensure that applications can be written to use local conventions and provide national language support (NLS). Areas of concern include the following: moving data and applications between hosts management of text-strings * displaying and printing national characters other than the standard upper and lower case A -Z, as they are encoded by various ASCII and EBCDIC formats. Historically, the SAS System has provided internal translation tables, called TRANTAB entries, that convert one character encoding standard to another	proc step, proc upload, sample, proc download	source	50
104	NOSTRO and current accounts operating - analysis and forecasting algorithms	S. G. Melnikov, V. E. Sorokoumov		balance, confidence interval	source	6
105	Offloading: Using IT Service Vision to improve SAS application performance at SAS Italy	Danilo Gipponi			source	33
106	On the road with SAS/GRAPH software	Torbjorn Frode		proc step, proc gchart	source	9
107	Open Systems Solutions to Large File Requirements	Jochen Kirsten			source	11
108	Optimising Access to DB2 from SAS	Simon Pickles	The SAS system provides a large variety of tools and techniques for accessing and processing DB2 data. Finding the best access paths and processing options is often vital in performance tuning of SAS information delivery applications that access DB2. Information output by the DB2 EXPLAIN facility can help the developer analyse and understand the access paths used internally by DB2. This information can then be used to make better informed decisions on physical database design, appropriate SAS processing options and associated code design. Lessons learned can often be applied equally to accessing SAS tables and other Data Base Management Systems (DBMS)	proc sql, where statement, dataset, stage 1, stage 2, proc step	source	8
109	PADRES: a system supporting the user friendly access and analysis of pharma Chemical Production Data	B. Rutishauser, H.W. Schrader, Th. Graf		frequency analysis, proc freq, quality control, data science, quality assurance	source	44
110	Parallel Sysplex - planning and implementing using SASr software	Alfred Brunneer		batch job, data cleaning	source	25
111	Past, present & future of data warehousing - a case study	Thea Bruwer	The purpose of this paper is to discuss the evolution of Vynide's data warehouse. As everyone knows, evolution is an on-going process, with adaptations and changes being made as and when the environment changes. The computing environment at Vynide has changed a number of times over the years, and is currently in the middle of another major change. It is interesting that, long before the term or phrase 'DATA WAREHOUSE' was coined, the concept had already been embraced by Vynide, using SAS System Products. Therefore, even though it is a relatively new concept, the SAS System has been providing all the facilities for data warehousing at Vynide for quite some time already. About the company: Founded in 1948, Vynide is a medium-sized manufacturer in the Plastics Industry, and has recently become a subsidiary of the newly formed POLIFIN group in South Africa. The company has two factories/sites - the largest is in Somerset West in the Western Cape, where the head office is also situated	data warehouse, data mart	source	4
112	Performance measurement of e-mail usage using SAS/CPE software	UNKNOWN		correlation	source	11
113	Pharmaceutical and Biotechnology Solutions: A New Direction	Lee H. Evans			source	37
114	Price and cost competitivenes analysis	Adriaan Dierx, Dierk Op't Eynde			source	8
115	Pricing and reserving in the general insurance industry	John Hansen, Christian Larsen		proc freq, confidence interval, case reserve, loss reserve, loss ratio, proc step, regression analysis, proc reg, price elasticity, rate making, sas risk engine, bootstrap, proc genmod, proc nlin	source	10
116	Procedures for planning and analysing experiments and surveys	Dieter Rasch	In this article it is described how SAS programs are integrated in a book project which covers many branches of applied statistics	normal distribution, sample size, sample, poisson distribution	source	8
117	Process Improvement Sudies in Appliance Manufacturing	Hulya Yazici	The study illustrates the use of `SAS/QC`, STAT modules of SAS Institute for computerized process data analysis. `SAS/QC` and STAT modules enabled the monitoring and analysis of the on line data. A substantial variance reduction and process capability is achieved for the process parameters as well as quality variables. The improvement studies are deployed to other control points in the plant. Furthermore, automated data collection systems and SAS modules via links to the network system are planned to enhance process control and improvement throughout the company	anova, data science	source	6
118	Producing clinical trial reports using SAS software: a company solution	Helen Dewberry, Michael Pearce		catalog entry, clinical trial, sas output, proc step, where statement, macro variable	source	6
119	Product improvement data banks in SAS software - creation and utilisation	A. Selmani, F. Dorian	The objective of this paper is twofold : 1.) to show how SAS can be used to create a data bank containing data from product tests which took place at different periods of time ; and 2.) to outline the ways it can be utilised and the resulting benefits. Data banks containing dozens of data files concerning product and formula were created in SAS. The data banks can be linked to any other data banks or external files - e.g. panels. Data banks are used to make comparisons with data for all newly conducted products tests, using different methods, such as ANOVA, etc. ; and displaying the required graphics from `SAS/GRAPH` and `SAS/QC`. Results obtained from newly conducted tests are more valuable and help products' developers and managers to understand better products' strengths, weaknesses and their evolution comparatively to others. The creation of data banks in SAS is easy, quick and more reliable - no re-entry or keypunching of data is needed	data science, proc step, dataset, anova	source	11
120	Putting SAS/EIS software Viewers in Place for Multi-Dimensional Data Analysis	Philip Mugglestone		data science	source	26
121	QSYS - a quality information system for Swedish SNUS	Bertil Runstrom		sample, proc print, proc princomp	source	7
122	Quality control in a public company in Denmark	Per Andersen		quality control, management reporting	source	10
123	Quality, Availability and Response Times measured by a user simulation PC	Shirley Sheppard		batch processing, batch job	source	11
124	Query Window and new ACCESS capabilities	Daniel Ringquist			source	9
125	Querying Operational Data in a Client/Server environment With The SAS System	Jens Dahl Mikkelsen			source	20
126	Rapid Development of VIPS-NLP: a visualisation tool for non-linear optimisation	Udo Sglavo, Werner E. Helm	Many problems in business and industry lead to models that require th e application of optimization techniques. This applies to all kinds of risk analysis, portfolio analysis, and to many problems in telecommunication development. All linear optimization problems can be solved using the SIMPLEX -algorithm implemented in `SAS/OR` `PROC LP` . Nonlinear optimization however is a much more difficult task. From Rel. 6.10 on SAS /- OR offers the powerful `PROC NLP` for solution of rather general nonlinear programs. Due to the tricky nature of nonlinear problem -solving strategies the documentation for this single procedure comprises over 320 pages ([2]). There is no graphical user interface available for this procedure. Hence we set out to create one by ourselves using the object -oriented-application development features in `SAS/AF` (SAS for Windows 6.10 and 6.11) . We decided to use a rapid prototyping approach	proc step, problem solving	source	14
127	Re-engineering Service Level Agreements	Adrian Shewan	Outsourcing legacy services continues to expand and Business Process Re-engineering (BPR) projects now have the spotlight of management attention. In the rush to the panacea of the brave new world there appears to be little time for the legacy systems and tools and techniques of the past. Client/Server solutions are now being designed, developed and implemented using new technologies to support rapidly changing business demands. Change is the driving force with the risk being perceived as not changing fast enough! As architectural chaos takes hold the seemingly obvious consequences of change are frequently overlooked. Re-engineering techniques must be applied to infrastructure support processes as well as application and business processes. Some things have not changed. Customers' expectations must still be managed and service quality must still be achieved		source	18
128	Re-engineering the BBL Data Warehouse	Claude Baillieux		mis, management reporting, age-to-age factor, market risk, data dictionary, balance, data standard	source	37
129	Re-engineering the CAPLA: integrating electronic submissions into the drug development	Guy Pawson		clinical research, clinical trial, crf, data review, dataset, adverse events, clinical data	source	34
130	Re-Engineering the Flow of Financial Information	Richard King			source	31
131	Relevance of Data Warehouse Solutions for the Telecom Business	Mattias Ohman, Andreas Saflund	How to increase business opportunities and customer care by implanting a Data Warehouse and an Intranet solution in a telecom environment	excel, sas consultant, proc freq	source	27
132	Report writing on the SAS/ASSIST Desktop as an application development tool	Christer Bodell			source	12
133	REPOS: An application development environment platform for rapid development of SAS	UNKNOWN	Presentation	quality assurance, dataset, excel	source	57
134	Residence Data Warehouse: Pacific Bell "Jumps "to WARP Speed	Ann S. King, Larry D. Bramblett	The Residence Rerate system began as a means to produce a list of Paci fic Bell customers who might benefit from optional calling plans. The business need was for a mailing list of one to two million residential customers. The system collects eligible call data and stores it, along with applicable customer account information. In order to accurately predict which customers would save money with a calling plan, and the amount they would save, three months of calling data was rerated at the proposed new rates and compared to the actual rated amount. This information was suppl ied to an external vendor for the mailing. The Residence Rerate system has grown into a full-scale Residential Customer data warehouse. It is accessible through the industry -standard SQL language. The architecture of the system ensures that the data, although vast in amount, is maintained in small, manageable portions	account, uniform distribution, proc step, proc sql	source	4
135	Risk management and risk controlling: integrated and consistent for all activities	UNKNOWN	Presentation		source	24
136	Risk Management Information System	Nicola King	Many organisations have a specialist statistical unit to provide management information for the purpose of reviewing existing business and assisting with making key decisions for the future. In a Finance House, one of the responsibilities of such a unit is to monitor the quality and performance of its new and existing business. When an individual applies for credit, data is collected from the application form and possibly a credit bureau. Throughout the life of the loan information is gathered on the payment profile of the loan	management reporting, mis	source	5
137	Risk management with the SAS System	Christian J. Balica		sas risk, sas risk engine, monte carlo, business intelligence, factor analysis, audit trail, interest rate	source	31
138	SAP AG System R/3 accounting - a description of the current situation	DtaPaper Title			source	23
139	SAP AG System R/3 performance evaluation and optional accounting, using the SAS System	Hayo Hasselmann			source	10
140	SAS Institute and Siemens Nixdorf: A strategic Alliance of two Market and Technology Leaders	Wilfried Eickholz			source	5
141	SAS Institute's own data warehouse	Martin Gregory		data warehouse	source	27
142	SAS software dictionary tables. What are they? And how to use them!	Patrik Karlsson		proc sql, dictionary tables, proc step, order by, macro variable, sashelp, sample, create view	source	12
143	SAS software in Credit Management	Tracy Gostick	One of the aims of banks and finance companies is to reduce the levels of bad debt by lending only to the most profitable customers. The initial decision towards this aim is to either accept or decline the application. In addition, further decisions are made throughout the term of the loan, for example, selecting the most appropriate customers for a mailing campaign. The key to making good lending decisions is constant monitoring of past customers' performance, using the principle that the future can be modelled on the past. The author has been involved in building monitoring systems both as a developer and a user, and this paper will cover some of the issues experienced, and suggest further uses for SAS within a finance environment	cpu time, advanced sas	source	7
144	SAS software in the Hungarian Tax Administration Modernisation Project	Arpad Magyar, Károly Brüll		management reporting, mis, cash management	source	10
145	SAS software in the retail market	Scott Thomson	Information is the key to success for marketing. A combination of a customer segmentation system and methods of reporting responses to this system are vital in this competitive area of industry. When mailing an ever increasing population of customers whose preferences and habits constantly change, it is vitally important that each customer receives their ideal offer or promotion. By correctly targeting each customer a greater symbiotic relationship develops, where the organisation increases profits with maximum customer satisfaction. The building of a Customer Motivation Engine will increase promotion profitability and provide the plat form for developing new promotions, based on targeting customers preferences and responding immediately to their demands. This response leads to processing of high volumes of data at the press of a button, using a GUI `SAS/EIS` interface	sample, dataset, customer segmentation, response variable, main effect, regression analysis	source	10
146	SAS software solutions for direct marketing data analyses	Michael Felsmann		regression analysis, neural network, sample	source	37
147	SAS Software Tips: My Experience as a SAS-L MVP	Philip A. Mason	This paper covers a diverse range of SAS tips. I have broken the sections up into AF, General and 6.11 tips. The AF tips mainly apply to Frame programming in a GUI environment. The General tips should be applicable to most platforms. The 6.11 tips apply to the latest release of SAS, version 6.11. These tips have been tried out under MS Windows, but also should apply to other 6.11 platforms, such as OS/2	sample, proc step, where statement, dataset, proc sql	source	6
148	SAS Testdata Workbench - An application that handles testdata and database conversions	Patrik Karlsson		proc compare, proc step	source	6
149	SAS/Warehouse Adminstrator	Tony Fisher			source	12
150	Scalable Performance Data Server (SPDS)	Steve Morton			source	22
151	Security features in the SAS Data Warehouse	Rick Evans			source	30
152	Selecting creditworthy customers	Stella Cacoullis		neural network, credit scoring, network optimization	source	8
153	Seven ways to ease SAS System work - not just for programmers	Peter Crawford	Use FORMs to enhance results with printer control language (PCL) SPASTE command macro to enable text copy from difficult windows OPGET macro to put system options into macro variables (e.g. SASAUTOS and FMTSEARCH) View "latest" updates to catalog entries Dynamic altlog (MVS differently from Windows) almost an audit trail Macro for quiet installation (MKDIR only new directories) LINO command macro to print line numbers on source, log or notes(very helpful for long SCL DEBUG loops)	catalog entry, macro variable, options statement, dictionary tables, sas output, proc step, audit trail, proc sql	source	11
154	SIAP: an integrated statistical package for living condition analyses	Antonella D'Agostino, Giulio Ghellini, Laura Neri	The persistence of poverty conditions in third- world countries and the arising of new forms of poverty in the industrialised economics have deeply increased the scientific and political interest on living conditions analysis. For this reason in the last few years sampling surveys on this subject have been carried on in many developed and developing countries in order to obtain further useful information for social policy making. The research aims to build up a statistical package in SAS environment, called SIAP (that in I talian is the achronims of 'Poverty analyses integrated system'), using `SAS/AF` module. The particular feature of SIAP is its applicability to a very wide range of sampling surveys on living conditions, both cross sectional and panel (the last aspect is not yet available)	proc freq, sample	source	18
155	Some elements to consider when tuning applications made with the SAS system	Tore Kaasen	This paper is aimed at you that have a general knowledge of the SAS System and wants to learn a little about what to consider when building and tuning SAS System applications. I hope that this paper is of some of use for everybody present here. I do not intend to present the ultimate solution for tuning SAS System applications but I think most of you will find some useful tips in this paper. Contents In this paper I will discuss the following subjects: A short presentation of the Niklas Data Group Building blocks in an application made with the SAS System SAS language SQL code SCL code/submit blocks Client/server considerations Options Graphics Frame considerations When to tune How to tune Niklas Data Group The Niklas Data Group is a group of SAS System consulting companies, owned by the founders and management. Since the start in 1987, our vision has been to be the preferred provider of solutions based on the SAS System	proc sql, where statement, macro facility, proc step	source	9
156	Source code management for SAS software applications	Keith Collins			source	16
157	Statistical models for thermal aging of steel materials in nuclear power plants	Mattieu Persoz		regression analysis, mse, proc nlin, proc reg, proc step	source	11
158	SUN Solutions: Small, Useful, Now - Translating the compass vision into action	UNKNOWN	Presentation	insurer, phase i	source	4
159	Supporting your management cycle with an MIS based on a data warehouse	Daniel Koller		mis, interest rate, management reporting, excel, proc step	source	23
160	Taming sample size calculation formulas with the SAS System (an application for trial sample size determination)	Julian Singer		sample size, sample	source	8
161	Teaching about executive information systems through the medium of a computer-based ... Teaching about Executive Information Systems through the medium of a computer-based tutorial developed using the	D. Glass, K. Smyth, R. N. Wilson		proc standard, binary variable	source	5
162	Techniques for Drag & Drop Implementation 6.08 - Orlando	R. A. Smith		proc sql, sample, create view, txt, data dictionary, dataset	source	35
163	The BASF Antwerp Information System	UNKNOWN	Presentation	trend analysis	source	12
164	The data warehousing process - a framework for the organisational implementation and the Crucial Role of the Software Tool	Carlos Pares-Salvador, Ralf Finger		data warehouse, data cleaning	source	14
165	The Development of an ADM Toolbox	Alan Oliver, Terry Smith		sas consultant, bar chart	source	5
166	The development of an executive information system for health service commissioning	Mike Samphier		management reporting, proof of concept	source	7
167	The distribution and sales information system "Vertriebsinformationssystem - VIS" of the Deutscher Sparkassenverlag GmbH	Georg C. Neumann	The desire to move from a product orientated divisional organization to a regi onal, totally customer orientated one would have pushed the existing information systems beyond their limits. A fast, flexi ble, networked system, quickly able to produce consistent decision making and results orientated business information was of critical importance to our sales and distribution network if we wished to achieve optimised operations and market availability. The demand for information within our organization is constantly changing and increasing. Consequently, the VERTRIEBSINFORMATIONSSY STEM must be able to be quickly and easily adapted and extended to meet the new needs. Key functional requirements are the ability to generate customer and product specific performance stati stics as well as the regular and automatic generation of standard reports in the form of numbers and graphics at user defined time intervals	customer segmentation, sorted data	source	12
168	The growing need for distributed data warehouse systems due to globalisation of business	Ger Scherpens, Sander Piet	This presentation consists of two parts: Part 1: Business study Part 2: Case study Philips Lighting Europe 1 Business study Within the last few years (due to political, customer and economic changes) we have seen, especially for the bigger companies, a strong globalisation of business. Not only producers but also customers are no longer inclined to do their business solely on a local for local basis, with this trend certainly continuing for the coming years. Thus on the demand as well as the supply side, it is becoming more and more important to monitor the business on a more global scale. This trend towards globalisation leads to a need for integrated information from all the sites located in different countries. As a result , (distributed) data warehouse concepts are becoming more and more important and are recognised as one of the most promising solutions for the above needs	data validation rules, data warehouse, business intelligence, reference data, dataset, logistic distribution	source	12
169	The SAS Data Warehouse solution for SAP AG's System R/2 and R/3 data	Rick Evans		proc sql	source	10
170	The SAS neural network application	Gerhard Held		neural network	source	17
171	The SAS System in a Data Warehouse Environment	Thomas J. R. Emmerich			source	40
172	The SAS System in the Heterogeneous Systems Environment of an Industrial Company	Mattias Wolff		business intelligence, quality control, quality assurance, data warehouse, excel, proc sql, data controls	source	44
173	The South African Breweries sales forecasting system: from data to planning information	Kenneth Carden		time series analysis, sql server	source	10
174	Tree-based modelling with the SAS System	Nick Dunkerton		sample, proc hpsplit, response variable, data cleaning	source	12
175	TREEDISC - a method for identifying household segments	Sten Sture	Imagine you are a direct marketer who sells subscribtions to a magazine. To maximize your profits, you want to identify household segments that, based on previous promotions, are most likely to respond to a magazine promotion. Or, suppose that you are a health care professional who wants to identify population segments at the greatest risk for heart disease	response variable, in=, proc freq, cluster analysis, proc hpsplit, sample, adam dataset	source	11
176	Turning Dry Statistics into Interesting Information	Catriona McKay			source	7
177	Using SAS/CPE to create a company-wide computer-resource accounting and charge-back Data Warehouse	Dario Franceschi		data warehouse, format statement	source	7
178	Using the SAS system to fit the BURR XII distribution to lifetime data	Alan John Watkins		likelihood function, sample, maximum likelihood estimation	source	8
179	Visualisation in data mining	Annie Postic		customer satisfaction, outlier, sas risk engine	source	23
180	We've got an inventory control system, and we're going to use it	Andrew Hamilton	In Manufacturing Facilities, the use of The SAS System in automated Statistical `PROC` ess Control systems and analysis of end -of-line test results is well known and documented. However, if a computerised Inventory Control System of sufficient capacity exists, SAS can be used to provide useful information on the processing history of lots with abnormal end- of-line yield or abnormal test results. This includes: Information on the order of processing of problem lots through critical process steps. Consistent processing commonality of lots with similar yield / failure mechanisms. * Analysis of possible dependencies of end-of-line test results with machines used at selected process locations. This paper describes in detail an implementation of the above capabilities, and provides examples of the type of output that may be generated, with particular reference to the semi -conductor industry	anova, parametric test	source	9

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