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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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 technical data form plm

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  

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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.

technical data form plm  Group''s service offering includes technical support, maintenance services, condition monitoring, and training. SKF, which was founded in 1907, currently has 110 manufacturing sites in 28 countries, and sales offices distributed all over the world. Additionally, 15,000 distributors and dealers represent SKF in 130 countries. This organization has allowed the company to stay close to its customers, and has helped the company''s research and development team to be an innovative leader in the markets it 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.

technical data form plm  discarded due to a technical limitation, for example, may become a viable product based on new technology from a supplier. There is a large amount of value and intellectual property developed in the design process. This information is often difficult to reuse, however, because it is largely unstructured. If this information is readily accessible to other designers, and readily searchable, then it is valuable and will promote reuse of ideas and concepts. Reuse is very valuable because it creates new value Read More

GXS Acquires HAHT Commerce for More Synchronized Retail B2B Data Part Three: Market Impact


There is renewed interest to provide GXS' trading services from other surviving Internet exchange providers to leverage GXS' huge expertise and investment in a global infrastructure to provide its trading services. In particular, GXS could cater for integration between the exchange and the enterprise systems of the members, including diverse back-office and front-office systems, and for processing and routing of transactions between participants.

technical data form plm  on organizational, behavioral, and technical issues. The trouble with many now defunct exchanges lay in their aggressive over-hype that actually did not deliver. This, bundled with burning cash fast during the carefree salad days of the late 1990s on upfront marketing and unjustifiably expensive technology buys rather than on meticulous value proposition, trading community, and infrastructure building also contributed to their failure. Conversely, GXS has tackled many tenets of Internet exchanges'' Read More

Selecting PLM Software Solutions Part 5 - User Recommendations


This tutorial points out the significance of buyers researching PLM technology vendors before determining the short list and vendors researching the viability of the opportunity before committing time and money to a sales effort. Since a 'one-size-fits-all' product is still not quite a viable possibility, almost every product can win provided certain set of requirements. The Catch 22 for both buyers and vendors/VARs is to pinpoint the right opportunity in this ongoing 'dating game'.

technical data form plm  majority of functional and technical requirements show up time and time again. These have been captured for the PLM field within the PLM Evaluation Center . The remaining requirements may be peculiar to your business and industry (e.g., specific integrations to your existing applications), which need to be defined from scratch and prioritized appropriately. But, these should only be a small fraction of the entire immense RFI effort. Likewise, vendors'' effort in filling the new RFIs should only be limited Read More

SAP Moving into the Right Hemisphere of the CAD and PLM World




technical data form plm  into sales and other non-technical areas. Some have rightfully wondered what took so long to SAP to acquire a small partner company that it had already invested in via SAP Ventures . Namely, in April 2007, SAP Ventures and Munich Venture Partners joined the ranks of Right Hemisphere’s original investors ( Sequoia Capital, Sutter Hill Ventures , and NVIDIA ) and its strategic partners -- Adobe and Microsoft. Well, my guess is that blockbuster acquisitions of Business Objects and Sybase will have had Read More

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.

technical data form plm  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 Read More

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.

technical data form plm  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 Read More

Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

technical data form plm  Quality: Cost or Profit? Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can Read More

The Many Faces of PLM Part Two: The Future of the PLM Suite


The future of the PLM Suite will include more applications that cover product-related functionality and further expand the benefits available. As the PLM Suite matures, companies will benefit from increased functionality and increased integration between business processes. The ultimate expression of this more mature solution will result in a broad suite of focused, integrated applications that leverage a core of unified, structured product data - the PLM Platform.

technical data form plm  Many Faces of PLM Part Two: The Future of the PLM Suite The Future of the PLM Suite The future of the PLM Suite will include more applications that cover product-related functionality and further expand the benefits available. As the PLM Suite matures, companies will benefit from increased functionality and increased integration between business processes. The ultimate expression of this more mature solution will result in a broad suite of focused, integrated applications that leverage a core of unified Read More

Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

technical data form plm  Blending for Dummies Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant. Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data Read More

Lectra Fashion PLM Becomes the First TEC Certified Solution in PLM for the Fashion Industry


“I can name more fashion PLM solutions than PLM solutions.” This was what I told my colleagues last year when I was working on the creation of a product lifecycle management (PLM) evaluation model geared specifically to the fashion industry. Of course, this was intended as a joke—a fashion PLM solution is still a PLM solution! But, here is the first fashion PLM solution to receive TEC

technical data form plm  Fashion PLM Becomes the First TEC Certified Solution in PLM for the Fashion Industry “I can name more fashion PLM solutions than PLM solutions.” This was what I told my colleagues last year when I was working on the creation of a product lifecycle management (PLM) evaluation model geared specifically to the fashion industry. Of course, this was intended as a joke—a fashion PLM solution is still a PLM solution! But, here is the first fashion PLM solution to receive TEC certification. In recent Read More

A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

technical data form plm  very specific management and technical challenges. For example, a team that has been writing extraction, transformation, and load (ETL) code for a data warehouse faces a new set of challenges when migrating data to a live, operational system. Although a 2% error rate may be acceptable for aggregate reporting, it is not acceptable for customer contact data—in this example, we would fail to recognize one out of 50 customers when they call! Many significant business initiatives and large IT projects 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.

technical data form plm  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 pre Read More

Core PLM for Process Industries


The foundation of product lifecycle management (PLM) for the process (or recipe-based) manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including management of material specifications, recipes, formulas, production processes, design tools, document management, and collaboration.

technical data form plm  PLM for Process Industries The foundation of product lifecycle management (PLM) for the process (or recipe-based) manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including management of material specifications, recipes, formulas, production processes, design tools, document management, and collaboration. Read More

Top 10 PLM Pitfalls To Avoid


Product lifecycle management (PLM) implementation strategies are in many cases unique from company to company. However, it is not uncommon for companies to encounter some of the same obstacles or pitfalls along the way. Understanding where these nasty little pitfalls lie will hopefully help you steer clear of them, and improve your chances for PLM success.

technical data form plm  10 PLM Pitfalls To Avoid Top 10 PLM Pitfalls To Avoid If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. SofTech ’s solutions, including our flagship ProductCenter™ PLM solution , along with CADRA™, DesignGateway™, Prospector™ our other CAD and CAM solutions, draw on a company’s total resources to optimize product development, with crucial bottom line results. Source : SofTech Resources Related to PLM Pitfalls To Avoid : Pr Read More