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Software Functionality Revealed in Detail
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 product data management systems


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 systems  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--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  

Start Now

Documents related to » product data management systems

Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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Global Product Development Seen as a Boon for Product Lifecycle Management Vendors


An enterprise that wants to shift to a global product development strategy must invest in modern product lifecycle management (PLM) technology. Therefore, the PLM software market could be on the edge of a significant growth cycle.

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Fighting Back: How Product Data Management Can Give You the Competitive Edge


Canadian manufacturers are getting squeezed. Challenged by a rising Canadian dollar, forced to hold the line on prices in the US market, pressured by customer demand for lower prices, better quality, and quicker service, these manufacturers need a way to retain their competitive edge and increase bottom-line profitability. Find out why product data management (PDM) is a solution you can turn to in these challenging times.

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Product Lifecycle Management (PLM)


PLM software applications support businesses in bringing products and services from idea through to design, production, and final disposition. PLM solutions have evolved to provide comprehensive functionality for all aspects of product innovation, including product development and portfolio management, manufacturing process management, ideation and requirements management, service data, and regulatory and compliance criteria. PLM solutions allow you to create, communicate, and store a 'single version of the truth' for effective collaboration. PLM also incorporates vital product data management (PDM) functionality.

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Oracle Enterprise Asset Management


Oracle Enterprise Asset Management (EAM) optimizes availability and utilization of assets. Oracle's products help companies manage inventory, equipment, and skilled personnel as well as match these resources to asset maintenance demands.

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More Than "Talent": Exploring Talent Management and Workforce Management as a Continuum


“Talent” traditionally refers to key people—executives, experts, rock stars, etc.—that a company does not want to lose, while the majority of the company’s workforce are people who are considered more easily replaceable. But the general workforce can serve as a pool for future talent. This thought leadership explores some of the principles that are driving talent management and workforce management technologies—so you can help each and every one of your employees reach their potential and make the most of your entire workforce.

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Systems Union


Systems Union delivers fully integrated enterprises solutions for specific industries, as well as best-in-class standalone products that address the essential challenges its customers face in areas such as enterprise resource planning, supply chain planning and execution, customer and supplier relationship management, asset management, product lifecycle management, and business intelligence. With more than 8,100 employees and offices in 100 countries, Infor provides enterprise solutions to more than 70,000 customers.

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Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

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Campus Management


Clients benefiting from Campus Management Corp® services and solutions represent a rich diversity of colleges and universities, each with its own unique constituencies, mission, and learning environment

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Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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