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Software Functionality Revealed in Detail
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 ordering technical data 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--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  

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Documents related to » ordering technical data plm

Case Study: Cadbury plc


To reduce time to market and realize the full value of its intellectual property, Cadbury plc needed to ensure compliance with government regulations. The company launched a long-term data management strategy, which included storing all data in a central repository—a product lifecycle management (PLM) system. Find out how Cadbury not only ensured compliance but also improved its response to consumer and customer queries.

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Cincom Sticks to CONTROL of ETO and MRO Part 2: Market Impact


Cincom's latest product release covers many new bases, is architecturally adequate and remains a well-attuned offering for ETO and MRO enterprises. While it is a competitive product that will create buzz in its markets, the road to success is by no means guaranteed.

ordering technical data plm  customer acquisition, quotation, and ordering. Unlike most product configurators, Cincom''s graphical knowledge modeling environment makes it easy for non-technical users to quickly develop solutions that assist in the analysis of customer needs, product selection, product configuration, pricing, quotations, and customer support. This suite is either offered as part of the CONTROL system or as a stand-alone, third-party application, is an interactive selling system that enables complex manufacturers to cap Read More

Chatting with TradeStone Software @ NRF BIG Retail Shows - Part 2


Part 1 of this series introduced the conundrum that retailers (especially those in the areas of fashion and apparel) encounter in the realms of design, sourcing, ordering, and delivery of private label and branded goods. The article also introduced TradeStone Software and its merchandise lifecycle management (MLM) solutions that enable a number of the world's most successful

ordering technical data plm  realms of design, sourcing, ordering, and delivery of  private label  and branded goods. The article also introduced TradeStone Software and its  merchandise lifecycle management (MLM) solutions  that enable a number of the world''s most successful retailers to bring innovative and profitable private-label products to market at ever higher speeds. TradeStone’s Current Snapshot My relationship with TradeStone dates back to the early 2000s, almost back to the company’s inception in a more than half-e Read More

Quote-to-order: New Ingredients in the Recipe for Success


Quote-to-order (Q2O) systems can address the increasing demand for personalized and customized products. Complex product specification, quoting, and ordering processes—as well as the software applications catering to those processes—can benefit from the use of the Web, collaboration tools, and lean thinking.

ordering technical data plm  product specification, quoting, and ordering processes, by mapping the steps and identifying those that add value and those that are wasteful. Some of the most apparent examples of wasteful steps include repeatedly clarifying and checking prior work due to incomplete information flow re-entering (re-keying) order data multiple times in various systems fixing specification and engineering errors after an order has been placed re-work, warranty, and plant rescheduling costs caused by faulty process and appl Read More

Commerce One Conducts Its Soul-Searching Metamorphosis Part Two: Challenges and User Recommendations


Commerce One is seemingly stuck with yet another identity crisis being a novice provider of a Web services-based integration platform and being a still fledgling provider of business application suite built on top of that platform, and which has not yet successfully competed in the SRM arena.

ordering technical data plm  Conductor to speed its ordering processes by exposing internal product codes and specifications directly to its customers), Eastman Chemicals (to streamline financial reporting errors), or Enporion (to enhance spend analysis). While Conductor could prove to be very attractive to Commerce One''s existing customer base, the customer base has nonetheless lately shrunk, particularly after fallout with SAP and sellout to eScout, which additionally reduces the maneuvering space. The company is in a sort of a vic Read More

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

ordering technical data plm  Data Everywhere: A Special Report on Managing Information SAP NetWeaver Master Data Management (SAP NetWeaver MDM) is an enabling foundation for enterprise services and business process management. Working across heterogeneous systems at disparate locations, SAP NetWeaver Master Data Management ensures cross-system data consistency through interactive distribution. Source: SAP Resources Related to Data, Data Everywhere: A Special Report on Managing Information : Data (Wikipedia) Data, Data Everywher Read More

CAD-Centric PLM, ERP-Centric PLM, and Organic PLM: What’s Right for You? - Part 2


Part 1 of this blog series started with the assertion that product lifecycle management (PLM) solutions are becoming increasingly important to enterprises, to a strategic degree. However, not all PLM products are created equal, especially in light of their different origins. My post then explored the strengths and weaknesses of the first group of PLM solutions: those coming from

ordering technical data plm   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.

ordering technical data plm  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and Read More

Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

ordering technical data plm  Gross Margin over Continously Cleansed Data Optimizing Gross Margin over Continously Cleansed Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Advanced functionality to manage costs, sell prices, promotions, discounts, chargebacks, and other key attributes while optimizing gross profits. Source : epaCUBE Resources Related to Optimizing Gross Margin over Continously Cleansed Data : Data cleansing (Wikipedia) Gross margin Read More

The Many Faces of PLM Part Two: The Future of the PLM Suite


The future of the PLM Suite will include more applications that cover product-related functionality and further expand the benefits available. As the PLM Suite matures, companies will benefit from increased functionality and increased integration between business processes. The ultimate expression of this more mature solution will result in a broad suite of focused, integrated applications that leverage a core of unified, structured product data - the PLM Platform.

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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.

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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 encounter some of the same obstacles or pitfalls along the way. Understanding where these nasty little pitfalls lie will hopefully help you steer clear of them, and improve your chances for PLM success.

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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.

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Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

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