JSM 2004 - Toronto

Abstract #300259

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Activity Number: 284
Type: Invited
Date/Time: Wednesday, August 11, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #300259
Title: Embedded Analytics
Author(s): Leland Wilkinson*+
Companies: SPSS Inc.
Address: 233 South Wacker Dr., Chicago, IL, 60606,
Keywords: statistical computing ; data-mining
Abstract:

Statistical Computing is entering a new age. The last two decades of the last century saw computing systems move from the mainframe to the desktop and from the desktop to the Web. During the same period, there was consolidation of statistical software companies. Surviving statistical software companies are likely to continue serving the needs of both moderately trained and expert statistical users, adding new procedures after they appear in technical journals. Two major trends have emerged in the first few years of this century, however. First, the open-source software movement has spread to statistics and should continue to grow, particularly internationally. The R project is the most noteworthy evidence of this trend. Second, analytic methods are becoming embedded in operating systems and enterprise software. Early indications of this trend are the inclusion of data-mining and statistical systems in Microsoft's Analysis Services software and Oracle's Darwin. Embedded statistical software should lead to more users of statistical methods, but these users will not always be aware they are doing so.

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Revised March 2004