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
 

 plm controlled 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 Product Data and Recipe Management--Process RFI/RFP Template

Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology  

Evaluate Now

Documents related to » plm controlled technical data

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 controlled technical data  still-evolving technologies that enable PLM allow the management of product information and the processes that are used to create, configure, and use the information in a manner never previously envisioned. PLM-enabled collaborative technologies, within the scope of design and manufacturing businesses, provide an environment where users can log into a project room and share data, and often interact with other project participants in online sessions designed to discuss and share product information in a Read More

PTC Windchill Version 9 versus Version 10: Is Version 10 the Most Significant Windchill Release in PTC’s History?


The latest iteration of PTC Windchill (v. 10) for product lifecycle management (PLM) has been described as ‘the most significant Windchill release in PTC’s history.’ In his article, TEC research analyst Gabriel Gheorghiu compares the last two versions of PTC Windchill, and outlines how the functionality enhancements in PTC Windchill 10 make the product suitable for product creation, development, and lifecycle management.

plm controlled technical data  in version 10. Core PLM for Process Industries is another module where the new functionality for product cost estimation has a great influence on the overall level of support. Another important difference between the versions is that functionality for quality specification management for process industries is fully supported out of the box in the latest version, whereas it is not supported at all in version 9.    Though PTC Windchill does not focus on process industries, which explains why 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 controlled technical data  property contained within a PLM system should be tightly controlled. The innovation process must be controlled as well, but the level of control which is required to plan and execute a global supply chain may not be appropriate for the creative environment within product innovation. An example of unnecessary control overhead would be adding all of the required data for an active item to an experimental item. There is value in identifying the item, but requiring the full information needed to control a Read More

The Importance of Component Event Management in a PLM Strategy


Component event management promises an answer. Component event management is a methodology to systematically detect and resolve component events in the most timely and efficient manner possible. This paper will introduce the philosophy of component event management and introduce a new category of software that is being developed to help implement this concept and improve business performance.

plm controlled technical data  Event Management in a PLM Strategy The Importance of Component Event Management in a PLM Strategy If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. IHS Acquires PCNAlert . Component Event Management encompasses all of the change management events surrounding components such as parametric changes, physical changes and chemical composition changes. These component changes have a direct impact on metrics such as time to market, inventory 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.

plm controlled technical data  life cycle requires general PLM technologies in order to maintain the integrity of product definition information, and to facilitate collaboration among different parties and across different product life cycle stages. Product Data Vaulting and Management . Goals for this functionality are to ensure that product data is effectively and efficiently captured, stored, protected, and version controlled in a way that allows the company to easily find and use appropriate product information. Item Management 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.

plm controlled technical data  data governance,data quality processes,data management processes,data governance initiative,data governance best practices,data governance roles and responsibilities,data governance charter,data governance strategy,data governance conference,data governance policy,data governance model,what is data governance,data governance plan,data warehouse governance,data governance definition Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

plm controlled technical data  data quality jobs,data quality solution,data quality methodology,data quality strategy,address data quality,data quality manager,data quality audit,data quality measurement,what is data quality,data quality in data warehouse,data quality dashboard,data quality program,clinical data quality,improving data quality,data quality measures 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.

plm controlled technical data  data quality jobs,data quality solution,data quality methodology,data quality strategy,address data quality,data quality manager,data quality audit,data quality measurement,what is data quality,data quality in data warehouse,data quality dashboard,data quality program,clinical data quality,improving data quality,data quality measures Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

plm controlled technical data  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More

Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

plm controlled technical data  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More

Process PLM Vendor Sequencia Adds Portfolio Management


Sequencia extends its Process Product Lifecycle Management (PLM) offering with portfolio management, leading the impact of the solution into the executive suite.

plm controlled technical data  PLM Vendor Sequencia Adds Portfolio Management Event Summary Sequencia ( www.sequencia.com ), in partnership with Prosight ( www.prosight.com ), has extended its Process PLM solution with the addition of portfolio management. Portfolio Management is an enterprise app, and this increases the visibility of PLM at executive levels. Market Impact Sequencia is developing a very broad product. With this announcement, they are now strong at the highest level (portfolio), adding to existing function from 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.

plm controlled technical data  data management analysis software selection,data analysis management solution evaluation,compare most accurate data tools, statistics application selection,statistical methods,improve data management and analysis,rfp to manage data,ecm software evaluation,information security is,compare information security systems,document management systems,dms,dms selection,is solution comparisons,product information management solution selection,pim,enterprise content management ecm,electronic media files,pim solution selection,compare top access control files software,security,evaluate data delivering systems,business analysis reports,dmag,analyse statistics,methodology,evaluate information security systems. Read More

Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

plm controlled technical data  business intelligence,BI,data warehouse,data mart,NULL values,master data management,data profiling,data cleansing,data monitoring,data mining,extract,transform,and load,ETL,quality screens Read More

Agile Data Masking: Critical to Data Loss Prevention and Threat Reduction


Over the past several years data loss and data leaks have been a regular part of headline news. This surge in data leak activity has prompted many organizations to reevaluate their exposure to data leaks and institute automated, agile approaches to data masking. Well-implemented data masking secures data delivery and enhances compliance and security while accelerating data management processes.

plm controlled technical data  data masking, data security, information security, data leak, hack, data loss, DLP, data leak prevention Read More