Executive Summary

By Peter Coffee  |  Posted 2002-10-07 Print this article Print

: JMP 5.0"> Executive Summary: JMP 5.0

Usability Excellent
Capability Good
Performance Good
Interoperability Good
Manageability Good
Scalability Good
Security Good
JMP 5.0 updates SAS highly integrated statistical exploration package with advanced analytic functions, such as neural-net analysis of data relationships, and improves the products performance in large-scale tasks. Access to Internet-based data sources remains surprisingly tentative and as yet is offered only in its present incomplete form in the Windows version of the product; Mac OS users will find that several of the updates innovations are absent on their platform.


Statistical functions in spreadsheets, such as those in Microsoft Corp.s Excel, are far less accessible and much less sophisticated (especially in their handling of error analysis) than those in JMP. At $995 for a single copy, JMP is not inexpensive, but its integrated scripting facilities can provide considerable leverage in the hands of a few power users, generating reports and presentation graphics that can support improved decision making.

(+) Ease of learning; broad analytic capabilities; outstanding ease of access to related analyses and presentation graphics.

(-) Limited Internet data acquisition tools; surprising feature gaps between Mac OS and more capable Windows versions.

  • Microsofts Excel
  • Data Description Inc.s Data Desk
  • SPSS Inc.s SigmaStat
  • www.jmp.com

    Peter Coffee is Director of Platform Research at salesforce.com, where he serves as a liaison with the developer community to define the opportunity and clarify developersÔÇÖ technical requirements on the companyÔÇÖs evolving Apex Platform. Peter previously spent 18 years with eWEEK (formerly PC Week), the national news magazine of enterprise technology practice, where he reviewed software development tools and methods and wrote regular columns on emerging technologies and professional community issues.Before he began writing full-time in 1989, Peter spent eleven years in technical and management positions at Exxon and The Aerospace Corporation, including management of the latter companyÔÇÖs first desktop computing planning team and applied research in applications of artificial intelligence techniques. He holds an engineering degree from MIT and an MBA from Pepperdine University, he has held teaching appointments in computer science, business analytics and information systems management at Pepperdine, UCLA, and Chapman College.

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