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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 product data management plm


Core PLM--Product Data Management - Discrete RFI/RFP Template
Product Data Management (PDM),Engineering Change Order and Technology Transfer,Design Collaboration,Process and Project Management,Product Technology

product data management plm  for Discrete Industries Template: Product Data Management (PDM) Engineering Change Order and Technology Transfer Design Collaboration Process and Project Management Product Technology This functional and technical requirement set template covers industry-standard functional criteria of Core PLM for Discrete Industries that can help you easily gather and prioritize your business needs in a simple and categorized excel document. More than a RFP template, it is a working document that serves as a knowledge

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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 management of material specifications, product structures, production processes, design tools, document management, and design collaboration. 

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Enabling Product Innovation: The Roles of ERP and PLM in the Product Lifecycle


Companies are turning toward product innovation to achieve revenue growth, but to generate return on an innovation idea, the idea must be fully developed. When the concept has been fully defined, validated, and transformed into a product, it is then ready for commercial launch and execution from a sales, marketing, manufacturing, and logistics perspective.

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Product Life Cycle Management (PLM) in ProcessPart 3: Process PLM Requirements


A Process PLM system must accommodate rapid, global deployment of the system. This need drives specific requirements to minimize both the start-up and the long-term cost of ownership of the system. This article, third in a series details those requirements.

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Product Lifecycle Management (PLM)


This comprehensive product lifecycle management (PLM) knowledge base models modern product and design-related aspects of PLM for both discrete and process industries. It details product development and portfolio management, manufacturing process management, ideation and requirements management, service data, and regulatory and compliance criteria. This comprehensive knowledge base incorporates the criteria of TEC's other PLM knowledge bases.

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Core PLM Product Data and Recipe Management--Process RFI/RFP Template


Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology

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Lectra First PLM Software Vendor to Achieve TEC Certification for PLM for Fashion and PLM for the Distribution of Fashion Products and Accessories


Paris, January 4 2011 — Lectra, the world leader in integrated technology solutions for industries using soft materials—textiles, leather, industrial fabrics, and composites—has announced that Lectra Fashion PLM V2R2, its product lifecycle management solution designed specifically for the fashion industries, has just been awarded certification from TEC. Lectra Fashion PLM is the only solution to have achieved TEC certification in the fashion and fashion products and accessories distribution sectors.

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New Realities of Retail Workforce Management: Myths versus Facts


With an economic recovery underway, retailers are leveraging workforce management (WFM) tools to help them address their most pressing needs—cost reduction, return on investment (ROI), and measurably improved performance—while instilling practices that will serve them tomorrow and beyond. Find out how market leaders are leveraging the considerable benefits of WFM systems to gain a significant competitive advantage.

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Case Study: SAP and Marketing Management


By upgrading to the latest release of the SAP customer relationship management (CRM) application as part of its CRM Clear Vision Program, SAP AG transformed the way marketing and sales teams collaborate. Find out how increased visibility and improved interaction has helped SAP realize greater value from a more effective sales process, making it easier to hit sales targets and maximize sales revenue.

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Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

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Performance and Compensation Management at the Core of Human Capital Management?


Strategic human capital management (HCM) solutions can help organizations transform their people into a competitive advantage by aligning managers and employees with corporate goals. There is now a statistical and causal relationship among key HCM applications and operating income growth.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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