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Core PLM for Discrete Industries
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...
 

 accessing plm data cifs webdav


SDL Tridion R5
SDL Tridion R5 provides organizations with Web content management capabilities that allow them to respond to changing business requirements for online

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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 Get this template

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Core PLM for Discrete Industries
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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Windchill


Windchill is a product lifecycle management (PLM) solution that was designed from the ground up to work in an Internet-based, distributed design environment. Windchill technology forms the foundation of the packages PTC offers to address data, change, configuration, and process management; product development collaboration; project management and execution; and the release of product information to manufacturing management systems.   Windchill PDMLink consolidates scattered islands of information into a single information source, which can help bring order to chaotic change processes and speed the development of new product configurations.   Windchill ProjectLink creates a virtual workspace that becomes the central access point for a project, which helps provide team members with access to information. By automating project management activities, Windchill ProjectLink can help PTC customers better manage all of their programs, project schedules, information, and processes.   All Windchill solutions include visualization capabilities that allow individuals anywhere in the organization to review complex product information in meaningful terms.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

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Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

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10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

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Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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The New Virtual Data Centre


Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

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Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

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TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

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Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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Infor PLM Optiva


Infor PLM Optiva integrates product design functionality with program management, collaboration, and workflow capabilities. The company's solution features a central data repository that serves as a global backbone enabling a company to capture, share, and manage product development information, and collaborate with its customers and suppliers to bring new products to market at Internet speed. Optiva is a product development software solution for the food and beverage, chemicals, consumer packaged goods, and pharmaceutical industries, which helps companies bring products to market. Because the product is modular, Formation Systems helps companies taylor its functionality. Using the product's tools such as formula optimization and recipe management, can help - Create market-ready products - Elevate product quality with consistency - Integrate knowledge throughout the enterprise - Unite with key business partners

accessing plm data cifs webdav  PLM Optiva Infor PLM Optiva integrates product design functionality with program management, collaboration, and workflow capabilities. The company's solution features a central data repository that serves as a global backbone enabling a company to capture, share, and manage product development information, and collaborate with its customers and suppliers to bring new products to market at Internet speed. Optiva is a product development software solution for the food and beverage, chemicals, consumer Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

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Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

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