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Core PLM for Discrete Industries
The foundation of product lifecycle management (PLM) for the discrete manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including manage...
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Documents related to » critical technical data plm


Critical Components of an E-PLM System
E-business has prompted a lot of vendors to move towards creating electronic product lifecycle management (e-PLM) suites. However, enterprise resource planning

critical technical data plm  of part serial numbers critical to meeting regulatory requirements in the A&D industry. In the product life cycle, workflow differs at various stages of a product''s life. In addition, different information technology (IT) systems will integrate with an e-PLM application for development, manufacturing, and MRO activities. The capability to automate the workflow of tasks for the people that need it and to seamlessly pass data between IT systems is necessary for e-PLM to be successful. Productivity gains Read More
Economic Benefits of PLM-enabled Collaboration
Many of today’s product lifecycle management (PLM)-enabling technologies allow complex information to be shared by dispersed teams of people. Product data

critical technical data plm  PIM Offer is a critical enabler to the company''s initiative to globalize processes and information across the enterprise. This initiative will ultimately allow Schneider Electric''s current distributed divisions and multiple acquisitions to all display the same single face to its customers. As already mentioned, Schneider Electric has a long history of acquiring companies and the PIM Offer is seen by the company as a major enabler, helping them to incorporate the dozens of companies that have been purchase Read More
A Two-layer Model for Fashion PLM Functionality
To help fashion players achieve the most out of adopting PLM methodology and systems while respecting the uniqueness of fashion products and business processes,

critical technical data plm  it has become a critical capability for fashion PLM. The wide managerial span of a fashion PLM system requires effective integration between PLM and other systems such as enterprise resource planning (ERP) and supply chain management (SCM). A two-layer Model for Fashion PLM Functionality Above analysis mainly suggests that a successful fashion PLM solution should be able to bring all the benefits that the PLM methodology has to offer, and all the functionalities that specifically support the unique needs Read More
Product Note: NGC''s Fashion PLM and Sourcing Solutions
NGC e-PLM and e-SPS are NGC’s offerings in product lifecycle management and sourcing for the fashion industry. This product note analyzes the strengths and

critical technical data plm  tracking and management of critical timelines throughout the organizations and across the global supply chain; reduced product development cycle time; and reduced costs and improved profit margins. NGC''s e-PLM and e-SPS have over 150 active customers globally. The number of users per installation varies considerably, ranging from just a few to several thousand. Due to the proximity between product development and sourcing activities in the fashion industry, many of today''s fashion PLM solutions (or in Read More
TEC Vendor Note: Lectra, A Focused PLM Player
A brief introduction to Lectra, a specialized vendor in the CAD, CAM, and PLM industry, including history, product offerings, and achievements, as well as

critical technical data plm  the material cutting process—a critical step in apparel manufacturing. Progress ® Brio : Automated spreaders functioning for continuous production during the cutting process. Vector ®: Automated cutters catering for various production volumes and material types. ProSpin ®: Single-ply cutter specifically for prototyping and small runs. Leather cutting (MFC and CLS) : Designed for automated leather cutting for the furniture industry (MFC) and the automotive industry (CLS). FocusAirbag ®: Lectra’s la Read More
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

critical technical data plm  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and Read More
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

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Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

critical technical data plm  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More
Omnify Empower PLM
The Omnify product lifecycle management (PLM) system provides a single location for all members of design and manufacturing teams to share information for

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Is MAPICS Getting the Magic of PLM? Part Three: Challenges and User Recommendations
MAPICS hereby joins the raft of enterprise resource planning (ERP) vendors that are making their way into the product lifecycle management (PLM) market by

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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

critical technical data plm  mature” have realized the critical point with the platform: although Hadoop can be engineered to do a good job of processing data, storing it, and providing routine reporting, the solution cannot be used as an ad hoc, interactive analytic platform. This is because Hadoop is very slow and lacks sophisticated visualization tools. Those more savvy organizations are starting to combine Hadoop processing storage clusters with purpose-built, fast analytic platforms such as in-memory databases. 7. Read More
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

critical technical data plm  right tool for this critical task is essential. The tool should support business acceptance criteria and transition planning. It also needs to provide key technical capabilities, such as data re-engineering and cleansing, logical entity mapping, and logical attribute mapping. Informatica''s products support all these capabilities and best practices for migration, helping hundreds of leading organizations to migrate data and implement application projects while meeting timescales, budgets, and data quality Read More
Product Life Cycle Management (PLM) in Process Part 2 Process PLM Motivation
This part of the series on Product Life Cycle Management in Process explores the business motivations by review business strategies.

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