Home
 > search for

Featured Documents related to »  data model plm


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,

data model plm  . Also called master data management (MDM) for product data, product information management provides a common, central repository for product information. Portfolio Management . This adds discipline and structure to the process of determining which products and product innovations should be pursued. Portfolios of existing products, as well as product innovation investments, can be rated and prioritized based on various decision criteria. Integration . This refers to the system's ability to interact with d 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 manage...
Start evaluating software now
Country:
 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » data model plm


Selecting a PLM Vendor
PLM enterprise applications should not be selected in a vacuum. The needs and requirements of multiple departments and even business partners must be

data model plm  around transactions and structured data are not built to handle the combination of structured and unstructured information typically found in product life cycle processes. Although most of the major ERP vendors recognize the need to offer PLM to their customers and have a strategy to deliver these capabilities, avoid ERP and SCM vendors that are obviously repackaging existing transactional solutions. It is important to remember that product lifecycle management is by its nature a collaborative solution. 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

data model plm  of not thinking through data model organization for example. But instead are the pitfalls we have seen companies fall into when planning for and initiating PLM. Since this paper was first published, you'll notice a few pitfalls have been dropped, with new ones added and the order shifting somewhat. This is not unexpected. As PLM itself evolves, people learn more and their experiences with PLM increase. Here are the newly updated Top Ten PLM Pitfalls: Not including executive education as a top priority of Read More
Siemens’ Active Workspace Handles PLM Data Complexity
Today, many companies have massive amounts of information generated from their product lifecycle processes currently lying dormant, often spread across many

data model plm  uses Siemens PLM’s Teamcenter data model and customer’s existing style sheets to adapt to industry and customer preferences. Figure 3 shows Active Workspace’s Web-based filtering and intelligent charts, making it easy for users to find what they need without having to know/understand the underlying PLM data model. Figure 3 – Search with Intelligent Charts and Filters In addition to an HP Autonomy plus Solr -based search engine, Active Workspace has a 3D-shape geometry Geolus search engine that can 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

data model plm  documents, etc.) and 3D data (e.g., mechanical CAD models), and carry out interactive communications with each other in real-time. In addition, PLM-enabled collaborative solutions often support the ability to view, rotate, add notes and annotation pointers, and some also offer functionality to change the 3D design model data. This provides the same communication effectiveness as having all participants in the same room, at the same time, looking at the same data. 2.3 Commonly-Supported Processes Today's 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

data model plm  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 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

data model plm  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 Read More
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

data model plm  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More
Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone
Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the

data model plm  or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support. Read More
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

data model plm  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More
Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies
Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity

data model plm  Data Management: Big Data Proves Catalyst to Updating Data Management Strategies Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain. Read More
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

data model plm  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system 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

data model plm  its expansion to product data management (PDM) about a decade ago, with the launch of its first PLM suite in 2006. Four years later, with the release of V2R2, Lectra Fashion PLM became quite a comprehensive and strong solution—in TEC’s certification of Lectra Fashion PLM, six of the eight functionality modules evaluated scored above the average solution, with five of these modules located in the Dominant Zone, a TEC convention designed to indicate a solution’s significant competitiveness in the 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

data model plm  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More
Agile PLM: Product Lifecycle Management (PLM) Competitor Analysis Report
This comprehensive product lifecycle management (PLM) knowledge base models modern product and design-related aspects of PLM for both discrete and process

data model plm  and requirements management, service data, and regulatory and compliance criteria. This comprehensive knowledge base incorporates the criteria of TEC's other PLM knowledge bases. Read More
Popular Searches

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others