Software smooths the way to PLM
A
Product Sight product story
Edited by the Engineeringtalk editorial team
Dec 3, 2004
FindView Product Data Alchemist is a novel product claimed to directly addresses the biggest hurdle to rapid PLM business value by automating discovery of all existing product data assets.
FindView Product Data Alchemist is a novel product claimed to directly addresses the biggest hurdle to rapid PLM business value by automating discovery of all existing product data assets and provides tools to extract and format information from embedded content for loading into an enterprise PLM system.
Businesses can easily gain 6 to 12 months on their ROI from product lifecycle management implementation and at the same time lower their implementation costs.
Many PDM and PLM projects report spending as much or more on data analysis, cleansing, and loading as on the cost of PLM software licenses.
FindView Product Data Alchemist immediately solves this bottleneck for a fraction of the cost.
"FindView Product Data Alchemist is a tool that will continue to maximise the value of an enterprise PLM system long after the initial implementation project", said Bruce Winegarden, President and CEO of Product Sight.
"It is especially valuable for corporate PLM programs that are working on implementations across multiple divisions".
"It also has strategic value for quick assimilation of acquired intellectual property assets".
Discovering and migrating all existing product data accumulated over past years is one of the biggest risks and uncertainties a PLM implementation will face.
Much of the digital information from the past is contained in unstructured text or graphics files.
Past product data are found in many different formats including drawings from multiple historical CAD systems.
Estimates on total volume and various types of product data and existing storage locations may be incomplete.
Different data sources have redundant or contradictory information.
Current naming and terminology is inconsistent with multiple variations from standard.
The PLM implementation team first needs to understand what types of "as is" product data are in use today, where they are located, and how many of each type will require what amount of storage.
Their job is simplified when they can mine useful information from unstructured content embedded in existing product data.
The automatic transformation and cleanup routines improve data integrity and terminology consistency, then output load files formatted for company specific PLM systems from vendors such as: Agile, IBM Enovia, IBM Smarteam, MatrixOne, PTC Windchill and UGS Teamcenter.
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