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Software Functionality Revealed in Detail
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 critical technical data 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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Documents related to » critical technical data plm

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.

critical technical data plm  of part serial numbers critical to meeting regulatory requirements in the A&D industry. In the product life cycle, workflow differs at various stages of a product''s life. In addition, different information technology (IT) systems will integrate with an e-PLM application for development, manufacturing, and MRO activities. The capability to automate the workflow of tasks for the people that need it and to seamlessly pass data between IT systems is necessary for e-PLM to be successful. Productivity gains 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.

critical technical data plm  PIM Offer is a critical enabler to the company''s initiative to globalize processes and information across the enterprise. This initiative will ultimately allow Schneider Electric''s current distributed divisions and multiple acquisitions to all display the same single face to its customers. As already mentioned, Schneider Electric has a long history of acquiring companies and the PIM Offer is seen by the company as a major enabler, helping them to incorporate the dozens of companies that have been purchase Read More

Has SAP Become a PLM Factor to Be Reckoned With?


You have probably heard of SAP’s recent blockbuster acquisitions, but did you know about the vendor’s fervent in-house innovation and newly developed products for SCM and PLM sectors. In his recent article, TEC Principal Analyst P.J. Jakovljevic takes a close look at the continuous product and service innovation at SAP and discusses the key products and development strategies with SAP PLM solutions managers. Read more.

critical technical data plm  Business Objects provide the critical product intelligence capabilities in this regard.   Continuous Product and Service Innovation SAP provides solutions from the ideation stage, through creation and evaluation of portfolios, to execution of projects, including direct integration to financial and human resources (HR) data. In this area, the vendor offers the code-named “SAP Edison” product (for idea management) linked with SAP StreamWork for social collaboration within a community. These modules are Read More

PLM Migration: Migrate Your Mind First


This article identifies the increasing requirements of system replacements in the product lifecycle management (PLM) area and recommends users rethink the implementation scope, system integration, acquisition method, and so on before strategizing their PLM migration plans.

critical technical data plm  endeavor, and that one critical capability of PLM is to streamline internal and external collaborations. With product design and digital manufacturing tools (e.g., computer-aided design [CAD], computer-aided engineering [CAE], and computer-aided manufacturing [CAM]) and basic data and process management systems becoming commodities for today’s manufacturers, the competition for product excellence is moving to the orchestration of activities along with the entire product life cycle. Manufacturers should Read More

TEC Vendor Note: Lectra, A Focused PLM Player


A brief introduction to Lectra, a specialized vendor in the CAD, CAM, and PLM industry, including history, product offerings, and achievements, as well as expectations and recommendations to the vendor’s future growth.

critical technical data plm  the material cutting process—a critical step in apparel manufacturing. Progress ® Brio : Automated spreaders functioning for continuous production during the cutting process. Vector ®: Automated cutters catering for various production volumes and material types. ProSpin ®: Single-ply cutter specifically for prototyping and small runs. Leather cutting (MFC and CLS) : Designed for automated leather cutting for the furniture industry (MFC) and the automotive industry (CLS). FocusAirbag ®: Lectra’s la 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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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

critical technical data plm  mature” have realized the critical point with the platform: although Hadoop can be engineered to do a good job of processing data, storing it, and providing routine reporting, the solution cannot be used as an ad hoc, interactive analytic platform. This is because Hadoop is very slow and lacks sophisticated visualization tools. Those more savvy organizations are starting to combine Hadoop processing storage clusters with purpose-built, fast analytic platforms such as in-memory databases. 7. Read More

Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

critical technical data plm  customer data quality,data cleansing service,data integration system,data cleansing services,data profiling,data profiling software,data quality,data cleansing software,data governance,data integration Read More

PLM Coming of Age: ERP Vendors Take Notice


With a PLM solution in place, a company has the ability to automate, monitor, and track product development and revision processes with their customers, suppliers, and employees amid the increasing pressures of mass customization, globalization, regulatory compliance, outsourcing, and product accountability, which are just some market driving forces.

critical technical data plm  organization and enterprise boundaries. Critical to the success of any manufacturer is the ability to utilize the latest electronic commerce technologies available for competitive business advantage, i.e., to leverage them as a secure medium for the flow of trading partners'' data, product designs, marketing data and so on—all in near real time. To that end, PLM applications, which typically integrate with existing ERP applications, extend critical product information visibility and processes beyond the Read More

CAD-centric PLM, ERP-centric PLM, and Organic PLM: What's Right for You? - Part 1


In this day and age of globalization, ever-shorter new product introduction (NPI) cycles and overall product lifecycles, partner collaboration, and whatnot, product lifecycle management (PLM) software solutions have lately increased their strategic significance to enterprises. In his recent Forbes blog post contribution, PTC’s CEO Jim Heppelmann touts PLM as a new path to shareholder value. He

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Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

critical technical data plm  right tool for this critical task is essential. The tool should support business acceptance criteria and transition planning. It also needs to provide key technical capabilities, such as data re-engineering and cleansing, logical entity mapping, and logical attribute mapping. Informatica''s products support all these capabilities and best practices for migration, helping hundreds of leading organizations to migrate data and implement application projects while meeting timescales, budgets, and data quality 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.

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Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

critical technical data plm  Data Everywhere: A Special Report on Managing Information SAP NetWeaver Master Data Management (SAP NetWeaver MDM) is an enabling foundation for enterprise services and business process management. Working across heterogeneous systems at disparate locations, SAP NetWeaver Master Data Management ensures cross-system data consistency through interactive distribution. Source: SAP Resources Related to Data, Data Everywhere: A Special Report on Managing Information : Data (Wikipedia) Data, Data Read More

Meeting Request Regarding PLM Research/PLM Buyer Behaviour Report


The PLM user landscape is changing

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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.

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