STATISTICA











Go Beyond Simple Quality Control: Don't Just React to Problems, ANTICIPATE Them with QC Miner!

Go Beyond Simple Quality Control: Don't Just React to Problems, ANTICIPATE Them!

StatSoft has combined the complete functionality of its quality control and improvement software with its cutting-edge STATISTICA Data Miner software for uncovering hidden trends, explaining known patterns, and predicting the future. All quality control charts, process capability analyses, experimental design procedures, and Six Sigma methods and charts are integrated with a comprehensive library of cutting-edge techniques for exploratory and predictive data mining. The result is STATISTICA QC Miner, a powerful software solution designed to monitor processes, identify and anticipate problems related to quality control and improvement with unmatched sensitivity and effectiveness.

STATISTICA QC Miner enables its users to:

  • Predict QC problems with cutting edge data mining methods.
  • Discover root causes of problem areas.
  • Monitor and improve ROI (return on investment).
  • Generate suggestions for improvement.
  • Monitor processes in real time over the Web.
  • Create and deploy QC/SPC solutions over the Web.

    Powerful Client-Server versions designed to rapidly process extremely large streams of data (using multithreading and distributed processing that can scale to batteries of severs), RDE (rapid Deployment Engine), and Web-based versions are available. StatSoft offers also a selection of Deployment, Consulting, and Training services. Click here to read more about STATISTICA QC Miner.

    StatSoft Announces New Version of STATISTICA Neural Networks

    the ultimate data mining, exploration and modeling tool

    StatSoft recently announced the release of STATISTICA Neural Networks version 6, offering the most comprehensive selection of neural network architectures, algorithms, sampling methods and analytical graphs on the market. Intelligent problem solvers and automatic wizards make the program intuitive and among the easiest on the market to use. STATISTICA Neural Networks 6 seamlessly integrates with STATISTICA 6, the revolutionary new generation of the highest rated data analysis and visualization software, STATISTICA.

    The latest version of STATISTICA Neural Networks includes:

  • A Quicker, More Simplified Interface
  • New Network Types
  • Improved Intelligent Wizard
  • Ensemble Models & Resampling
  • Full Integration with STATISTICA
  • Visual Basic Scripting
  • Comparative Results from Multiple Models
  • Simultaneous Analyses, Workbooks & Reports
  • C/C++/C# and Visual Basic Code Generators options

    See recent review of STATISTICA Neural Networks.
    Read the STATISTICA Neural Networks 6 News Release.
    Upgrade to STATISTICA Neural Networks 6 Now!


    Integrated Six Sigma Tools, Open Architecture, and More Make STATISTICA Enterprise-wide SPC System Unique in Industry

    Complete Internet Enablement

    (Tulsa, Okla.) StatSoft, Inc. is pleased to announce that Version 6 of its powerful enterprise-wide quality control and improvement application, STATISTICA Enterprise-wide SPC System (SEWSS), is now available. SEWSS Version 6 includes a number of enhancements and additional functionality that make it truly unique in the industry, including: comprehensive Six Sigma tools and a “Six Sigma-oriented” user interface, integrated Visual Basic scripting for easy automation/customization, a new Query Wizard for seamless data acquisition, complete Web enablement options, and much more.

    In addition to these new enhancements, SEWSS 6 includes features that have garnered STATISTICA the highest rating in EVERY comparative review of statistics software in which it has been featured since its first release in 1993. Users and reviewers have consistently applauded the leading edge, fully integrated graphics technologies (in one review STATISTICA called “the King of Data Visualization software”) and stunning reports that can be published automatically (even on the Web).

    The latest version of SEWSS, as well as STATISTICA single-user Industrial Solutions, is specifically designed for Six Sigma initiatives and is unique among QC related applications that are currently on the market in terms of the comprehensiveness of Six Sigma tools available and the “Six Sigma-orientation” of the user interface. Options for collaborative work and facilities for management of user or group permissions further enhance any organization’s Six Sigma or quality improvement initiative.

    The unique open architecture of SEWSS and all STATISTICA products offers a number of distinct advantages. Users can easily customize and automate tasks using STATISTICA Visual Basic. For example, with a click of the mouse, every action can be recorded in the background in standard Visual Basic and be assigned to a toolbar and reused. In addition, every aspect of the interface can be adjusted by dragging controls with the mouse so that countless program options can be as hidden or as exposed as desired.

    The Query Wizard in SEWSS 6 allows users to easily access data from a wide variety of databases such as Oracle, MS SQL Server, Sybase, etc. The SEWSS Query Wizard automatically builds SQL statements as the user selects the components of the query via a simple graphical interface so extensive knowledge of SQL is not necessary in order for users to create advanced and powerful queries of data in a quick and straightforward manner.

    SEWSS 6 also offers two options for Web enablement for users to share documents across the hall or across continents. The first option, Entry Level WebSEWSS, is a powerful report generation tool for creating highly customized reports, formatted the way that you want, and at times that you choose. The ultimate Web-enablement option, WebSEWSS Complete, offers a complete Internet-browser based user interface and enables users to easily access data and powerful analytical tools of SEWSS and STATISTICA from virtually any computer in the world as long as it is connected to the Web. With WebSEWSS Complete all quality control processes can be managed remotely over the Internet.

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    Important Upgrade Reminder

    Upgrade Now! There are many reasons to upgrade to the latest version of STATISTICA: a quicker, more simplified interface, integrated Visual Basic scripting, full Web enablement options, and countless others.

    Also please note that technical support for Version 5.5 has expired (free unlimited technical support is normally only offered for six months after a new generation is released).

    Please visit our Web site for detailed description of new features or to request a quote, or call +61 3 9348 9422 and talk to one of our technical representatives.


    The STATISTICA 6 Product Line includes:

  • STATISTICA Base - offers a comprehensive set of essential statistics in a user-friendly package and all the performance, power, and ease of use of the STATISTICA technology.

  • STATISTICA Advanced Linear/Non-Linear Models - a wide array of the most advanced modeling and forecasting tools on the market, including automatic model selection facilities and extensive, interactive visualization tools.

  • STATISTICA Multivariate Exploratory Techniques - a broad selection of exploratory techniques for various types of data, with extensive, interactive visualization tools.

  • STATISTICA Quality Control Charts (stand alone or add-on) - offers fully customizable (e.g., callable from other environments), easy and quick to use, versatile charts with a selection of automation options, and user interface shortcuts to simplify routine work (a comprehensive tool for Six Sigma methods).

  • STATISTICA Design of Experiments (add-on) - features the largest selection of DOE and related visualization techniques including interactive desirability profilers (a comprehensive tool for Six Sigma methods).

  • STATISTICA QC Miner (stand alone or add-on) - a powerful software solution designed to monitor processes, identify and anticipate problems related to quality control and improvement with unmatched sensitivity and effectiveness. STATISTICA QC Miner integrates all quality control charts, process capability analyses, experimental design procedures, and Six Sigma methods with a comprehensive library of cutting-edge techniques for exploratory and predictive data mining.

  • STATISTICA Process Analysis (add-on) - a comprehensive package for process capability, Gage R&R, and other quality control/improvement applications (a comprehensive tool for Six Sigma methods).

  • STATISTICA Neural Networks (stand alone or add-on) - contains the most comprehensive selection of neural network methods with intelligent problem solvers and automatic wizards; C-code generation add-on is available.

  • STATISTICA Power Analysis (add-on) - an extremely precise and user-friendly, specialized tool for analyzing all aspects of statistical power and sample size calculation.

  • STATISTICA Data Miner - the most comprehensive selection of data mining solutions on the market, with an icon-based, extremely easy-to-use user interface (optionally Web browser based via WebSTATISTICA, see below) and a deployment engine. It features a selection of completely integrated, and automated, ready to deploy "as is" (but also easily customizable) specific data mining solutions for a wide variety of business applications. A designated SPC version (QC Data Stream Analyzer) to mine/analyze large streams of QC data is also available. The product is offered optionally with deployment and on-site training services. The data mining solutions are driven by powerful procedures from five modules, which can also be used interactively, and/or used to build, test, and deploy new solutions: (1) General Slicer/Dicer Explorer (with optional OLAP), (2) General Classifier, (3) General Modeler/Multivariate Explorer, (4) General Forecaster, and (5) General Neural Networks Explorer.

  • STATISTICA Enterprise-wide Data Analysis System ("SEDAS") - an integrated multi-user software system designed for general purpose data analysis and business intelligence applications in research, marketing, finance, and other industries. SEDAS can optionally offer the statistical functionality available in any or all of the STATISTICA products.

  • STATISTICA Enterprise-wide SPC System ("SEWSS") - based on state-of-the-art connectivity, multitasking and distributed processing technologies, SEWSS is designed for local and global enterprise quality control and improvement applications, including Six Sigma; it offers a high-performance database (or optimized interface to existing databases),real-time monitoring and alarm notification for the production floor, a comprehensive set of analytical tools for engineers (all the functionality of STATISTICA QC Charts, Process Analysis, Design of Experiments, and much more), sophisticated reporting features for management, Six Sigma reporting options, and much more.

  • WebSTATISTICA Server Applications - the ultimate enterprise system that offers the full Web enablement, including the ability to run STATISTICA interactively or in batch from a Web browser on any computer (incl. Linux, UNIX), offload time consuming tasks to the servers (using distributed processing), use multi-tier Client-Server architecture, manage projects over the Web, and collaborate "across the hall or across continents."

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    STATISTICA Enterprise-wide SPC System (SEWSS) Produces Tremendous Savings for Steelcase Inc.

    Steelcase Case Study

    A case study in the April 2002 issue of Quality magazine describes how Steelcase, a leading office furniture manufacturer, recently achieved unprecedented quality gains using StatSoft's popular enterprise-wide SPC software, SEWSS. According to Steelcase, the decision to purchase SEWSS was part of an enterprise-wide initiative to standardize statistical software as a process improvement tool.

    One of Steelcase's objectives in this initiative was to lower the average millage (paint thickness) needed to meet customer requirements, and reduce the variation in the application of paint. A project team used SEWSS to evaluate the state of three existing paint lines, two powder coat operations and a liquid line at the Office Systems plant. When the data from film thickness gages showed significant variation in paint millage, various SEWSS tools were used to identify the sources of the variation and help develop process improvements.

    The project was deemed "a tremendous success," said Paul Dzwonek, quality engineer for Steelcase's Office Systems plant in Grand Rapids. Average paint millage on one powder coat line was reduced by 15%, and the variation was reduced dramatically by 40%. In just one year, material savings amounted to more than 3 times the total investment in all of the SEWSS software, training, and implementation services purchased.

    According to Steelcase, four out of fifteen Steelcase North American plants use SEWSS and expanded use is planned.

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    STATISTICA Neural Networks "By far the best, in terms of both ease of use and power" in Bulletin of the Ecological Society of America Review

    STATISTICA Neural Networks Review

    In a recent article in the Bulletin of the Ecological Society of America (January 2002 issue) reviewers call STATISTICA Neural Networks (SNN) an "excellent package for both new and experienced users of neural networks" and "by far the best, in terms of ease of use, power."

    Reviewers Jeffrey Lusk, Oklahoma State University Department of Forestry, and Steven Wilson, of EcoLogic Research, compare STATISTICA Neural Networks with Neural Connections from SPSS and Qnet 2000 from Vesta Services. They agree that "SNN's interface is more intuitive than other packages and allows users to view simultaneously data, network predictions/output, and performance statistics." They conclude that STATISTICA is "the most intuitive and easiest to use of the three packages."

    They found the genetic algorithms utility unique to STATISTICA. "SNN can test various combinations of variables against each other to evolve an optimal set for subsequent neural network development. The genetic algorithm also ranks variables in the optimal subset, indicating which variables are most important. This feature is useful for removing noisy, information-poor variables from large data sets prior to further analysis. Neither of the other two neural network packages mentioned above has this capability."

    They also praise the simulation tool in SNN as being "much more intuitive and easy to use than a similar tool in SPSS's Neural Connections," while "Qnet 2000 does not provide a simulation tool at all." They go on to say that "SNN will generate classification networks if it detects a categorical dependent variable in the training data set. No additional input is required from the user, and model building is again very fast and efficient....Diagnostic output is very complete, and includes a sensitivity analysis to help determine the importance of different input variable to the final model."

    Click here to view other STATISTICA awards, comments from users, and a complete summary of STATISTICA's unmatched record of reviews.

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    KDD-2002
    Edmonton, Alberta, Canada
    July 23 - 26, 2002
    Booths 78-79

    ASA's 2002 Joint Statistical Meetings
    New York City, NY, USA
    August 11 - 15, 2002
    Booths 717-719

    COMPSTAT - XV. International Symposium on Computational Statistics
    Berlin, Germany
    August 24 - 28, 2002

    International Conference of the Royal Statistical Society
    University of Plymouth, UK
    September 3 - 6, 2002

    Click here to view the complete list of exhibits StatSoft will attend in 2002-2003.

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    StatSoft offers both introductory and advanced training courses in major cities in the United States and overseas. StatSoft's 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
  • July 2002

    July 8-9, 2002 Introduction Chicago, IL
    July 10, 2002 SPC Chicago, IL
    July 11, 2002 DOE Chicago, IL
    July 18-31, 2002
    August 5-7, 2002
    STATISTICA Six Sigma
    Green Belt Training
    Structured, Supervised, Web-guided Study
    Tulsa, OK
    July 18-August 2, 2002
    August 5-9, 2002
    STATISTICA Six Sigma
    Brown Belt Training
    Structured, Supervised, Web-guided Study
    Tulsa, OK
    July 23, 2002 New Features in STATISTICA 6 and Intro to Visual Basic Tulsa, OK
    July 24, 2002 Introduction to Visual Basic and STATISTICA Visual Basic Tulsa, OK
    July 25, 2002 SPC Tulsa, OK
    July 26, 2002 DOE Tulsa, OK
    July 29-30, 2002 Multivariate Analysis Tulsa, OK
    July 31, 2002 Neural Networks Tulsa, OK

    Register Now!

    August 2002

    August 1, 2002 ANOVA/Regression Tulsa, OK
    August 2, 2002 Graphical Data Analysis Tulsa, OK
    August 26-27, 2002 Introduction Tulsa, OK
    August 28, 2002 Introduction to Visual Basic and STATISTICA Visual Basic Tulsa, OK
    August 29, 2002 SPC Tulsa, OK
    August 30, 2002 DOE Tulsa, OK

    Register Now!

    September 2002

    September 10-11, 2002 Introduction San Francisco, CA
    September 12, 2002 SPC San Francisco, CA
    September 16-17, 2002 Introduction Tulsa, OK
    September 18, 2002 Introduction to Visual Basic and STATISTICA Visual Basic Tulsa, OK
    September 19, 2002 ANOVA/Regression Tulsa, OK
    September 20, 2002 Neural Networks Tulsa, OK
    September 12-25, 2002
    September 30-October 2, 2002
    STATISTICA Six Sigma
    Green Belt Training
    Structured, Supervised, Web-guided Study
    Tulsa, OK
    September 12-27, 2002
    September 30-October 4, 2002
    STATISTICA Six Sigma
    Brown Belt Training
    Structured, Supervised, Web-guided Study
    Tulsa, OK
    September 23, 2002 SPC Tulsa, OK
    September 24, 2002 DOE Tulsa, OK
    September 25, 2002 Graphical Data Analysis Tulsa, OK
    September 26-27, 2002 Multivariate Analysis Tulsa, OK

    Register Now!

    Click here for 2002 training dates, or to search by course or by city.

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    How Do I Set Up DDE Links between STATISTICA and Other Windows Applications?
    You can establish DDE (Dynamic Data Exchange) links between a "source" (or server) file (e.g., a Microsoft Excel spreadsheet) and a STATISTICA datafile (the "client" file) so that when changes are made to the data in the source file, the data are automatically updated in the respective part of the STATISTICA Spreadsheet (client file).

    A common application for dynamically linking two files would be in industrial settings, where the STATISTICA datafile would be dynamically linked with a measurement device connected to the serial port (e.g., in order to automatically update specific measurements hourly).

    DDE links are established in the Manage DDE Links dialog (select DDE Links from the Edit menu). To create a new link, click the New Link button in this dialog. The dialog also is used to edit, update, delete, or disable any or all links.

    How Can I Adjust the Margins of a Graph?
    Margins within the graph area. Click the Set Graph Area button on the Graph Tools toolbar to adjust the space between the edge of the plotting area (i.e., the borders of the graph window) and any graph components or custom graphic objects. This can be accomplished by clicking the Set Graph Area button and either 1) dragging the resizing squares that appear around the edges of the graph window or 2) drawing a rectangle in the place where you want the graph to be.

    Note that you can also adjust margins on the Document Size and Scaling dialog (accessible by clicking the Adjust the Graph Actual Size/Scaling button).

    Printout margins. The printout margins (the width of the distance between the edge of the paper and the beginning of the graph area) can be adjusted in the Print Preview dialog (accessed from the File menu).

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