X
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 solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 technical data products 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 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. 

Evaluate Now

Documents related to » technical data products plm

Lectra First PLM Software Vendor to Achieve TEC Certification for PLM for Fashion and PLM for the Distribution of Fashion Products and Accessories


Paris, January 4 2011 — Lectra, the world leader in integrated technology solutions for industries using soft materials—textiles, leather, industrial fabrics, and composites—has announced that Lectra Fashion PLM V2R2, its product lifecycle management solution designed specifically for the fashion industries, has just been awarded certification from TEC. Lectra Fashion PLM is the only solution to have achieved TEC certification in the fashion and fashion products and accessories distribution sectors.

technical data products plm  suited to their operational, technical, and performance optimization requirements. The evaluation method developed by TEC determines the ability of solutions to meet the needs and priorities identified by companies and ultimately allows decision-makers to reduce the risks involved in selecting corporate IT solutions. TEC has the necessary legitimacy for evaluating PLM solutions, particularly those aimed at the fashion industries. Lectra Fashion PLM: TEC Certification Results After a two-month Read More

Selecting PLM Software Solutions Vendors Part 3 - A Timesaving Solution


In PLM, there is no single vendor that can meet all of the requirements, and the market is still immature, so almost every product can be the right solution provided a certain set of requirements. The Catch 22 for both buyers and vendors is to pinpoint the right opportunity in this ongoing 'dating game'.

technical data products plm  sets of functional and technical criteria. For example, Figure 3 indicates the subcategories under Product Data Management. Figure 3 The next step in ranking the vendors is to prioritize the Decision Hierarchy. This involves indicating the importance of each criterion to a technology selection decision. The percentage on the pie graph indicates the priority percentage, or how much of the total decision is allotted to the criteria, based on the priorities set by module. For example, 19% appears for Read More

A Two-layer Model for Fashion PLM Functionality


To help fashion players achieve the most out of adopting PLM methodology and systems while respecting the uniqueness of fashion products and business processes, the article introduces a two-layer model to facilitate the process of selecting a fashion PLM solution.

technical data products plm  related to design and technical development including design process management, material development management, color and print management, prototyping and sampling, specification, product releasing, and product cost estimation. Sourcing and Supply Chain Collaboration . Functionality for these activities enables the optimized placement of decisions, as well as profitable and stable supplier relationships by increasing transparency throughout the supply chain. Manufacturing Process Management (MPM) . 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.

technical data products plm  evaluating vendors and addressing technical and organizational issues related to PLM migration, as a PLM adopter, it is important that you first refresh your understanding to the PLM methodology and the PLM market. If you have implemented PDM/PLM systems years ago and haven’t paid much attention to the PLM market after the implementation, you may need to refresh some of your PLM thoughts: 1. PLM is for the product design and development department. It is true that product design is where today’s PLM 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.

technical data products plm  pattern-making, model specification, and technical data management. DesignConcept : Specialized design solutions for automotive, aeronautical, and marine interiors, furniture, industrial fabrics, and composite and furniture materials. 3)  Digital Manufacturing and Cutting Room Solutions Optiplan ®: The solution that simulates, optimizes, and automates the material cutting process—a critical step in apparel manufacturing. Progress ® Brio : Automated spreaders functioning for continuous production Read More

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

technical data products plm  Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and Read More

The PLM Program An Incremental Approach to the Strategic Value of PLM


Companies that took an early adopter approach to PLM are beginning to show significant reductions in new product introduction lead times and to benefit from meaningful cost savings by executing a series of focused, high return projects

technical data products plm  PLM Program An Incremental Approach to the Strategic Value of PLM The PLM Program An Incremental Approach to the Strategic Value of PLM Featured Author - Jim Brown - December 21, 2003 Introduction Product Lifecycle Management (PLM) is a business strategy that is beginning to gain wide acceptance. Companies that took an early adopter approach to PLM are beginning to show significant reductions in new product introduction lead times and to benefit from meaningful cost savings. The results from the early p 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 products 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

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

technical data products plm  Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk 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 products 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

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.

technical data products plm  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. Read More

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.

technical data products plm  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 quali 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

technical data products 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 different angles in more than 10 blog posts . Comments to these posts are 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 products 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

The Path to Healthy Data Governance


Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

technical data products plm  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary Read More