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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."
Grant summarizes,
"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.
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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."
In the February 2002 issue of DM Review, John Deere Quality Engineer Navaid Ahmed gave STATISTICA rave reviews for its performance, ability to integrate, data visualization capabilities, and much more.
In the article, Ahmed discussed the variety of reasons why at John Deere "the decision to select STATISTICA was unanimous." According to Ahmed, "The versatility and flexibility of the product were the main reasons for selecting STATISTICA. It can be used for a variety of different forms of statistical analysis. Excellent service support and broad-based statistical analysis capability were the major advantages that this product had over others we considered."
Summarizing what he considers to be the main strengths of STATISTICA, Ahmed offered, "STATISTICA works well with our CMM systems." However, "the interactive ability of the software is its main strength. The different ways that data analysis can be performed and its ease of use with easy-to-read output are also some of the main strengths of STATISTICA. The ability to work with Microsoft Excel is also a plus."
Ahmed also applauded StatSoft for its excellent and prompt technical support saying, "Quick email responses and solutions to problems I've faced have been the best part of working with the vendor."