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Contents

Summary

 STATISTICA QC Miner is a powerful software solution designed to monitor processes and not only identify but also ANTICIPATE problems related to quality control and improvement with unmatched sensitivity and effectiveness. The products combine the most powerful tools for QC and SPC with cutting-edge data mining technology.

This specialized version of STATISTICA Data Miner is offered either (a) as a complete "turn-key" (deployed) solution, custom tailored by StatSoft engineers to your specific needs, and/or (b) as a comprehensive set of tools that enables you to easily build new or customize existing solutions. STATISTICA QC Miner integrates the complete functionality of STATISTICA software for quality control and improvement with STATISTICA Data Miner software for uncovering hidden trends, explaining known patterns, and predicting the future:

Customized Solution Packages To Match Your Specific Needs

Several specialized Solution Packages are available for users of STATISTICA QC Miner:

  • General Quality Process Control Applications Package

  • Yield Management Applications Package for the semiconductor industry

  • Root Cause Analysis Application Package
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    Go Beyond Simple Quality Control:
    Don't Just React to Problems, ANTICIPATE Them!
    • Predict quality problems before they happen, using neural networks, regression trees, generalized linear models, or other procedures from the vast library of cutting-edge statistical and machine learning methods.
    • Continuously monitor and improve expected (predicted) Return On Investment (ROI); predict process yield in real time, at each step of complex (manufacturing, service delivery, etc.) processes, and use automated machine learning algorithms to generate recommendations for modifying settings of tools, machines, etc.
    • Discover root causes of quality or process problems, applying the most advanced methods for feature (variable, factor) selection available.
    • Customize the system to monitor your (manufacturing, service delivery, etc.) processes in real time, learn from mistakes, and programmatically generate suggestions for improvement.
    • Incorporate active, real-time, on-line data mining methods in your data-driven Six-Sigma program: Provide not only instant feedback, but automatically identify the variables and factors that affect your processes.
    • Do not simply react to the results of your processes: Anticipate yield, quality, and areas for improvement.
    • Via STATISTICA's Client-Server (Web browser-based) installation, you can generate and deploy solutions for process improvement from anywhere in the world via the Internet, and communicate solutions to clients or other stakeholders worldwide.

    How it Works

     STATISTICA QC Miner consists of the complete set of tools available via STATISTICA Data Miner. In addition, the complete functionality of STATISTICA Industrial Solutions and Six Sigma Tools is available and are integrated into the data mining projects:

    Customize all Projects using Industry
    Standard Programming Languages

     STATISTICA QC Miner projects are created from analysis, data filtering/cleaning, or other nodes that encapsulate the respective analyses or data management operations. These nodes are "thin wrappers" written in the industry-standard open-architecture Visual Basic language, which call and execute the (extremely fast and efficient) STATISTICA analytic and data management routines. By using the industry-standard and convenient Visual Basic language as the "glue" to connect the process streams through the project, it is extremely easy to customize the system by incorporating custom routines written in Visual Basic, Java, C, C++, C#, or by calling programs supplied by other vendors.

    In-place Database Processing

     Unlike traditional industrial statistics and quality control software, STATISTICA QC Miner can be flexibly connected to data residing on your local computer, or to data in extremely large remote databases for in-place database processing, without requiring that a copy of the data be created on your local machine. Regardless of where and how the data are stored, or how large the databases containing process and quality-relevant information may be, STATISTICA QC Miner will easily and seamlessly connect to and integrate with your existing systems.

    There is practically no limit to the size of your data stream; STATISTICA QC Miner can screen unlimited numbers of characteristics (i.e., variables or features) and records.

    Using STATISTICA QC Miner
    as a Silent Monitor and Learner

    Like all procedures in the STATISTICA family of products, the procedures in STATISTICA QC Miner can be accessed from other applications (that support the industry standard Component Object Model or COM interface), and run "silently" inside the other application so that no actual STATISTICA QC Miner user interface will ever be displayed. For example, your existing quality and process control monitoring applications may incorporate calls to STATISTICA QC Miner to access the tremendous power of cutting-edge data mining, machine learning, and statistical algorithms.
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