StatSoft's STATISTICA Enterprise-wide SPC System (SEWSS) was recently featured as a "Quality Application" in the September 2002 issue of Quality Digest. The Case Study describes the successful SEWSS implementation in the basic division at Steelcase Inc., a company that produces interior architectural products worldwide.

The case study describes how Steelcase was able to improve process control for automatic die presses and manual press brakes and quickly identify that measurement error was a key source of variation using the Interactive QC Charts module of SEWSS. After switching from caliper measurment to a coordinate measuring machine (CMM), a team at Steelcase worked with StatSoft technical support so that the data collected by the CMM would be directly output into the SEWSS database and the latest data is always available for quick analysis with any of the SEWSS modules. Now, machine operators using the shop-floor CMM for inspection receive immediate feedback on the quality of key part features, and engineers have real-time access to the CMM inspection data for solving problems, making continuous improvements and verifying ongoing capability.

According to Mike Linde, quality engineer at Steelcase, "The enterprise-wide nature of the software makes it easy to share data for collaborative problem solving. Current data is available for review almost anywhere. Real-time charts and reports can be reviewed on the shop floor, at an engineers's desk or at a team meeting."

Case Study: Oklahoma State University Students Uncover, Explain and Predict with STATISTICA Data Miner

STATISTICA Data Miner's impressive array of data mining algorithms solved a variety of classification and prediction problems for Oklahoma State University graduate IT students.

STATISTICA Data Miner was the "premier choice" for OSU's Department of Management Science and Information Systems, according to Dr. Dursun Delen, Assistant Professor. Delen states, "Based on my years of experience in industry and in academia, I can confidently say that STATISTICA Data Miner has one of the most comprehensive data mining algorithms on the market." He also calls the graphical tools and their outputs "phenomenal."

Delen lists many other advantages over other data mining tools, including a graphical, interactive, user-friendly interface, rich set of visualization tools, processing speed, and its ability to be launched as a Web application. In spite of these many strengths, Delen also found STATISTICA Data Miner to be "less expensive than other comprehensive toolkits in the market."

OSU students used STATISTICA Data Miner for the prediction of diabetic illnesses based on demographic, social and recreational parameters; target marketing models for better promotional mailing; prediction of financial indicators such as the S&P 500; and foreign exchange rates, among others.

Click here to read the entire case study.

Felix Grant, a well-known lecturer and reviewer in the UK, recently commented on the latest versions (version 6) of STATISTICA QC Charts, Data Miner, and Neural Networks in a software review published in the September issue of Quality Digest magazine.

In the review, Grant remarks on STATISTICA QC Chart's to handle large data sets, multiple databases, and real-time auto-updating saying, "There must be limits to the density and variability of data flow, but I’ve not yet discovered them -- despite some very demanding work that would make most software packages cry."

In the same review, Grant calls STATISTICA Data Miner "the best tool I’ve seen yet for actually applying what you learn at the sharp end of industry" and "the easiest to use data mining control I’ve encountered." He goes on to praise its friendly user interface and strong set of exploratory analytic routines.

Lastly, the reviewer addresses STATISTICA Neural Networks. Although admittedly tentative when it comes to using nn software, Grant finds that STATISTICA Neural Networks has "particular strengths for unfamiliar users and those with reporting or team working priorities."

"These new additions to the STATISTICA 6 product range take traditional quality further, make it more accessible, and introduce a new level of integration that yield considerable synergy payoffs. If you have unsolved analytical problems, try STATISTICA 6."

To read the complete review go to the Quality Digest Web site.
Click here to view other STATISTICA awards, comments from users, and a complete summary of STATISTICA's unmatched record of reviews.

International Biometric Society - ENAR Spring Meeting
Tampa, Florida, USA - Marriott, Waterside
March 30 - April 2, 2003

Quality Expo International
Rosemont, Illinois, USA - Donald E. Stephens Convention Center
April 15 - 17, 2003
Booth #11090

17th Annual Control - International Trade Fair for Quality Assurance
Germany - Exhibition Centre Sinsheim
May 6 - 9, 2003
Hall 4, Booth #4316

57th Annual Quality Congress
Kansas City, Missouri, USA - Kansas City Convention Center
May 19 - 21, 2003
Booth #513

StatSoft, Inc. is pleased to announce the 2003 STATISTICA training schedule for the United States.

Featuring a variety of introductory and advanced training courses in major U.S. cities, StatSoft training classes offer: Practical hands-on experience with the program An introduction to real-world example applications Energetic, helpful, knowledgeable instructors Comprehensive take-home course manual Personal attention, small class size Interactive, class-paced learning In addition to a two day course on the Introduction to STATISTICA, StatSoft offers one day training for SPC, DOE, Multivariate Analysis, Anova/Regression, Neural Networks, Graphical Data Analysis, Visual Basic applications, and Six Sigma Statistics. Sign up today to enhance your knowledge and understanding of STATISTICA tools! Click here to view the dates and locations of courses in 2003. Click here to register, or email training@statsoft.com.au.

April 2003

April 2, 2003	Introduction to Visual Basic and STATISTICA Visual Basic	Tulsa, OK
April 3, 2003	Visual Basic Applications in STATISTICA	Tulsa, OK
April 8-9, 2003	Introduction	Minneapolis, MN
April 10, 2003	SPC	Minneapolis, MN
April 11, 2003	DOE	Minneapolis, MN
April 21-22, 2003	Introduction	Tulsa, OK
April 23, 2003	DOE	Tulsa, OK
April 24, 2003	SPC	Tulsa, OK
April 25, 2003	Graphical Data Analysis	Tulsa, OK

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