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 develop technical data plm

Browse RFP templates

Visit the TEC store for RFP templates that can save you weeks and months of requirements gathering, and help ensure the succes of your software selection project.

Browse Now
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 » develop technical data plm

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.

develop technical data plm  is clear—Lectra helps companies develop and, to a certain degree, manufacture specific types of products that use soft materials. The commonalities amongst these products allow Lectra to service multiple industries and business functions and remain focused. A Brief History of Lectra Founded in 1973, and offering its first computer-aided design (CAD) systems for apparel pattern-making and grading in 1976, Lectra has maintained its key target customers with reasonable expansions. 1)  Vertical expansion Read More

Product Note: NGC's Fashion PLM and Sourcing Solutions


NGC e-PLM and e-SPS are NGC’s offerings in product lifecycle management and sourcing for the fashion industry. This product note analyzes the strengths and challenges that the solutions have and makes recommendations to both the vendor and users.

develop technical data plm  I would recommend NGC develop more functionality in areas such as material development management and bill of materials (BOM). I think possibilities exist for NGC to reach more customers on the smaller end of the company''s target market range. In my opinion, one way would be for NGC to add a software-as-a-service (SaaS) option to its future offerings. Having established its market presence in North America, it might be time for NGC to further expand its global coverage. In order to do so, better Read More

Oracle Renders Its PLM Outline Part One: Event Summary


Although its PLM solutions will not likely be the "all things to all people" any time soon, Oracle might be showing us its ability to develop its own applications in collaborative effort with its prominent customers.

develop technical data plm  effective online collaboration to develop requirements, identify potential sources of supply and manage complex negotiations; and Oracle Configurator , which manages configuration rules for complex products and services, helping validate a company''s choice of options and guiding them through the selling process. Following the product release, in October, during the 2003 Product Development and Management Association (PDMA) International Conference , Oracle announced the formation of the Oracle Product 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.

develop technical data plm  to be more efficient, develop more products in less time, and do all of this at a consistently high quality level while at the same time working more closely with customers and suppliers on a global basis. Finally, it should also be mentioned that Mr. Niesten was quick to point out that they have much more work to do in order to fully achieve their PLM vision. The group''s plans go well beyond fully migrating to Windchill PDMLink to include expanding the use of project management technologies (e.g., the Read More

Are PLM and Global Sourcing Related? Duh, And How! (Part I)


A number of TEC blog posts have discussed benefits but also the inevitable caveats of white papers (including all too common vendors' self-serving marketing fluff and buzzword verbiage), and about their (un)intended audiences. These posts have even caused some heated debates with other blogging sites and experts on white papers, and I am going to stay away from all that here. My intention here

develop technical data plm  decisions, spend time to develop a clear set of selection criteria, understand your short-term and long-term requirements, and cast a wide net to evaluate multiple options. Develop a clear plan and follow a methodical process until you have narrowed down your choices to at least two finalists. Refrain from awarding business until you have, at a minimum, finalized your key contract terms and agreed to how your products will be priced – now and in the future. Even if you are not planning on embarking on Read More

Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

develop technical data plm  to know this and developed workaround processes and compensating behaviors in order to complete customer orders. Project risk was significant, and immediate actions were suggested to correct the data before attempting a migration. There were two choices: Correct the data in the current system and then migrate, or correct the data in the new system before bringing it online. Either action would require considerable work and demand changes to business processes and behaviors to ensure ongoing manufacturing Read More

Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

develop technical data plm  big data,innovation,data management,data platforms,data ecosystems 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.

develop technical data plm  data blending, data analyst, data source, data analysis, data software, data cleansing, data access, data blending software Read More

PLM and FOSS, What PLM Seekers Think?


Since Aras decided to stop asking for license fees for Aras Innovator [evaluate the product]by switching to the business model that the vendor calls enterprise open source, , free and open source software (FOSS) product lifecycle management (PLM) as a topic has been talked more frequently than before. On his blog site Daily PLM Think Tank, Oleg Shilovitsky has touched upon open source PLM from

develop technical data plm  If you’re a PLM vendor/developer that supports (or intends to support) this combination, please do share your information with us. 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.

develop technical data plm  Companies may opt to develop tools in-house or to acquire a third party tool from a vendor specializing in data cleansing tools. A majority of data warehouse and business-intelligence vendors such as SAS Institute , Informatica , Experian , and Group 1 Software provide data cleansing options that sit on top of their database. FirstLogic and Ascential Software , which also have this feature, are considered by the market to be among the data quality oriented vendors. Market Challenger Not many small to Read More

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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Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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