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Core PLM for Discrete Industries
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...
 

 develop technical data plm

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 Get this template

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Core PLM for Discrete Industries
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...

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

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.

develop technical data plm  the time required to develop a resolution. Proactive management of component issues is also required to compress the resolution time, particularly when the resolution is managed across departmental and corporate boundaries. Enter Component Event Management Component Event Management is an approach for the proactive management of electronic component lifecycles to provide faster identification, analysis and resolution of component events caused by product changes (PCNs), obsolescence (EOLs). Effective 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 co 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

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

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.

develop technical data plm  on hand to create, develop and maintain this application. However, if you are already using the same object to support a web site, your developers'' familiarity with the component''s interface can be extended to developing other applications as well. If your organization is not large enough to support this kind of effort, you will have the option of purchasing a standalone application that handles the same functions. While this is something of a one-size-fits-all solution, it will fill many of the same 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 if your organization needs this type of IT solution.

develop technical data plm  new software systems were developed. The data warehouse is its most important character. A collection of subject-oriented, integrated, time-variant, and non-volatile data is what we can call a data warehouse. This data is used to support the decision-making process of an organization''s management team. A data warehouse is used to integrate all of an organization''s historical data, and has the ability to store snapshots of its transactions. All information generated from the operational data source is Read More

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.

develop technical data plm  that enables iterative, flexible development to meet the organization''s changing needs. The best approach and the only practical one is driven by the data and its constraints, with the team designing as it continues to learn more about the technical issues and business objectives of the project. Centralized Resources When organizations view each application project as a standalone effort, they often don''t realize that some of the expertise that the team has developed could be applied to another project. 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.

develop technical data plm  reporting; and custom application development. Past positions Mallikarjunan has held include technical lead and applications development manager of a team of .NET, data warehousing, and BI professionals for a fashion retail company. In this role, she was responsible for the development, maintenance, and support of Windows and Web-based applications, as well as an operational data store, data marts, and BI applications. Mallikarjunan holds a BSc in computer science from the University of Madras (India), 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 Pro Accounting Software


Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX.

develop technical data plm  has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX. 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

develop technical data plm  the importance of product development and its enabling technologies. But not all PLM solutions are created equal, especially given their different origins. The first and possibly the most prominent PLM group are the so-called “Big Three PLM” solutions that come from stalwart computer-aided design (CAD)/computer-aided manufacturing (CAM) providers: Siemens PLM Software, Dassault Systemes , and PTC. From their expertise in the CAD and computer-aided engineering (CAE)-related product data management 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.

develop technical data plm  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 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.

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