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(July 18, 2000) – SAS Institute, the market leader in integrated data warehousing, decision support and information delivery, today announced that the readers of Scientific Computing and Instrumentation magazine selected JMPЎ software from SAS as the 2000 Readers’ Choice for best statistical software package. SASЎ software also earned finalist awards in three other categories: Data Analysis – JMP Statistical Discovery Software; Presentation Graphics – StatViewЎ; and Neural Networks/AI – Enterprise Miner"!.  We are extremely pleased to be identified as the top provider of end-to-end data analysis solutions, said John Sall, SAS senior vice president and originator of JMP.  Today products and processes are much more complex, and companies have invested heavily in systems to measure process and quality variables. More data sources, more data and more complex (multivariate) data create a flood of data. The issue is not simply process control at the plant floor level, but process management at the enterprise level.” JMP4 Statistical Discovery Software -- for more than a decade it has been helping scientists and engineers make valuable research and design decisions discoveries in their data. By joining statistics with graphics, users can quickly see their data from all angles and explore relationships and outliers missed with other data analysis software. With its Custom Designer in JMP4 reduces the number of trial runs needed to optimize a process and will construct a tailored design based on a user’s factors for interactions, budget constraints and goals, rather than force the problem to fit into a tabled design. “StatView integrates presentation graphing and statistics in one package to streamline analysis and document submission,” explained Sall. “Presentation customizations can be saved according to magazine submission guidelines and made into templates that can be repeated on other data. As these guidelines change, the templates are easily updated without redoing the entire analysis.” StatView Software -- allows researchers and analysts to work through every phase of a project, from data collection to the presentation of results, in one easy-to-use package. Results from an analysis remain dynamically linked to data and are presented in a “publish-ready” format. “What this year’s Readers’ Choice awards prove is that careful data management and well-executed exploratory data mining leads to better predictive data mining,” said Mark Brown, SAS global program manager for data mining. “This win confirms SAS software’s superiority and market leadership in data mining and analytic solutions.” Enterprise Miner -- makes it easy for business, analytical and IT personnel to cooperate in data mining. It integrates seamlessly with enterprise data warehouses and data marts, and also with business intelligence and reporting tools such as OLAP. It facilitates this cooperation by integrating all the necessary aspects of a data mining project into a clear process flow, based on the iterative SEMMA (sample, explore, modify, model, assess) stages. Winners of SC&I’s 2000 Reader’s Choice awards are determined by an open ballot published in the spring in the print and online editions of the magazine. Hundreds of readers responded to vote for their favorite technical software, computer hardware and instrumentation products. Criteria for selecting products included quality, reliability, ease-of-use, technical support and value to price. About SAS SAS Institute, the world’s largest privately held software company, is the leader in decision support and data warehousing, providing integrated enterprise information-delivery and e-business solutions. Founded in 1976, SAS markets packaged business solutions for vertical industry and departmental applications, as well as an integrated suite of software tools and consulting services. These allow companies to transform the wide variety of data within their organizations into information that business users and researchers need to make better decisions. SAS software and services are used at more than 33,000 business, government, and university sites in over 115 countries. SAS’ 1999 revenues totaled $1.02 billion. Please visit SAS’ Web site:  HYPERLINK http://www.sas.com www.sas.com. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. Ў indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright Љ 2000 SAS Institute Inc. Cary, NC, USA. 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