Scientific Computing & Instrumentation magazine readers have selected JMP, by SAS software, as the best statistical software package.
JMP 4 reduces the number of trial runs needed to optimize a process and will construct a tailored design based on a user’s factors, budget constraints and goals, rather than force the problem to fit into a tabled design.
Winners of SC&I’s 2000 Reader’s Choice awards are determined by an open ballot published in 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.
“Statistical software needs to excel at helping researchers uncover relationships and outliers in their data, which make for valuable discoveries,” said John Sall, SAS senior vice president.
SAS also earned awards in data analysis - JMP Statistical Discovery; presentation graphics - StatView; and neural networks/Al - Enterprise Miner.
StatView allows analysts to work through every phase of a project, from data collection to the presentation of results, in one package. Results from an analysis remain dynamically linked to data and are presented in a “publish-ready” format.
Enterprise Miner integrates seamlessly with enterprise data warehouses and data marts, and also with business intelligence and reporting tools such as OLAP. It integrates all aspects of a data mining project into a clear process flow, based on the iterative SEMMA (sample, explore, modify, model, assess) stages.
“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.
SAS software and services are used at more than 33,000 business, government, and university sites in 115 countries. The company’s 1999 revenues totaled $1.02 billion.