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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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 plm define technical data

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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Documents related to » plm define technical data

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 vendors with extensive e-commerce initiatives, development staffs, and renewed interest in PLM, are as likely to lead the way.

plm define technical data  e-PLM component modules. Traditional PLM Components Description Product Design Tools Tools to assist in the design process including mechanical computer-aided design (MCAD), computer-aided engineering (CAE), and computer-aided software engineering (CASE) tools Visualization and Review Software tools allowing non-engineers to view and reline drawings without the complexity of a more powerful CAD tool Change Management The process of routing a design or bill of material (BOM) change request through the 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 management (PDM) technology is used to organize and provide access to your intellectual assets. PLM, its collaborative Product Definition management (cPDm) capabilities, and other solutions can help you go beyond asynchronous data sharing. Find out how.

plm define technical data  of these solutions. For PLM solution suppliers, CIMdata helps define business and market strategies, delivers worldwide market information and analyses, provides education and support for internal sales and marketing teams, as well as overall support at all stages of business and product programs to make them optimally effective in their markets. In addition to consulting, CIMdata conducts research, provides PLM-focused subscription services, and produces several commercial publications. The company also Read More

Selecting PLM Software Solutions Part 2 - Problem Overview


Past experience shows us that the vast majority of enterprise technology evaluations run over time and budget, and once selected, the majority of the implementations fail to meet functional, return on investment (ROI) and total cost of ownership (TCO) expectations. Many companies have consequently been stuck with under-performing software products and dejected users, and are still unable to gauge their system to determine how far they are from the ideal solution for their business requirements.

plm define technical data  the Problems in Selecting PLM Software Part Three Presents a Solution Part Four Presents Examples of Applying the Solution Part Five Makes User Recommendations Problem Overview Prospective customers typically struggle with the following issues when selecting enterprise technologies: Their selection project teams have no effective way to define their business requirements and thereby identify the critical vendor and product questions (criteria) necessary to successfully initiate the evaluation process. Read More

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.

plm define technical data  will be supported by PLM and ERP, and define complementary roles that leverage the strength of each solution. Make a clear integration capability decision - When deciding on whether to use PLM solutions, recognize the value of integration, including lower risk and integration expense. Don''t sacrifice your real needs - When defining roles, understand the importance of the capabilities that each solution can offer and don''t sacrifice innovation for integration. Integrate - Integrate product innovation and Read More

Case Study: Cadbury plc


To reduce time to market and realize the full value of its intellectual property, Cadbury plc needed to ensure compliance with government regulations. The company launched a long-term data management strategy, which included storing all data in a central repository—a product lifecycle management (PLM) system. Find out how Cadbury not only ensured compliance but also improved its response to consumer and customer queries.

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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.

plm define technical data  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More

Don't Be Overwhelmed by Big Data


Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Big Data can be a Big Deal - read this white paper for some useful tips on ensuring secure, quality data acquisition and management.

plm define technical data  big data white paper, consumer packaged goods, CPG industry, CPG big data, big data CPG, data acquisition CPG, CPG data acquisition, data CPG, CPG data, CPG LumiData 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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Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

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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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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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SAP PLM


SAP PLM integrates all participants in the development process: designers, suppliers, manufacturers, and customers. SAP's product attempts to keep engineering from being a linear value chain, but rather a three-dimensional, collaborative community focused on a common goal. SAP PLM provides a solution for companies that require proactive quality management to improve equipment and plant performance. SAP PLM is delivered through mySAP Enterprise Portal, which is a role-based portal solution. The solution provides Web-based access to internal and external content, applications, and services. SAP PLM integrates with mySAP Supply Chain Management, mySAP Customer Relationship Management, mySAP Supplier Relationship Management, mySAP Exchanges, and SAP's enterprise resource planning (ERP) offerings.  

plm define technical data  PLM SAP PLM integrates all participants in the development process: designers, suppliers, manufacturers, and customers. SAP''s product attempts to keep engineering from being a linear value chain, but rather a three-dimensional, collaborative community focused on a common goal. SAP PLM provides a solution for companies that require proactive quality management to improve equipment and plant performance. SAP PLM is delivered through mySAP Enterprise Portal, which is a role-based portal solution. The Read More

Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies


Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.

plm define technical data  data management, data management strategy, managing complex data sources, big data, data management adoption, big data management Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

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