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 comment technical data plm

Browse RFP templates

Visit the TEC store for RFP templates that can save you weeks and months of requirements gathering, and help ensure the succes of your software selection project.

Browse Now
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. 

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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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A Semi-open Source Vendor Discusses Market Trends


A response to trends in the open source software market comes this time from relative newcomer provider xTuple. This vendor’s footprint isn’t entirely in the open source door, however, with OpenMFG, its commercially licensed solution with an open source infrastructure.

comment technical data plm  place. TEC : Any comment regarding pro-et-contras for both the platform choice and rationalization ( lock-in, and constantly waiting for the moving parts to be in sync)? xTuple : Again, how you answer the question depends on where you''re coming from. For xTuple, being operating system-agnostic has been a major driver from the get-go. Both our GUI client and our server run perfectly well on Microsoft Windows, Linux, and Mac OS X —and we have customers running every conceivable combination of the six. Read More

Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

comment technical data plm  big data,innovation,data management,data platforms,data ecosystems Read More

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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SAP PLM


SAP PLM integrates all participants in the development process: designers, suppliers, manufacturers, and customers. SAP's product attempts to keep engineering from being a linear value chain, but rather a three-dimensional, collaborative community focused on a common goal. SAP PLM provides a solution for companies that require proactive quality management to improve equipment and plant performance. SAP PLM is delivered through mySAP Enterprise Portal, which is a role-based portal solution. The solution provides Web-based access to internal and external content, applications, and services. SAP PLM integrates with mySAP Supply Chain Management, mySAP Customer Relationship Management, mySAP Supplier Relationship Management, mySAP Exchanges, and SAP's enterprise resource planning (ERP) offerings.  

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Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

comment technical data plm  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More

A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

comment technical data plm  data warehouse,data warehousing,data acquisition,metadata management,data mining,data cleansing,data capture,Data Warehousing definition,Bill Inmon,Ralph Kimball,database technology management experience,data warehouse design expertise 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

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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

comment technical data plm  the meantime, your views, comments, opinions, etc. about the PLM, CAD, and ERP software are welcome as usual. We would also be interested in your experiences with these software categories if you are an existing user and with your current (possibly ineffective) product development practices. What PLM solution have you selected and why? Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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Lectra Fashion PLM: PLM for the Retail Industry Competitor Analysis Report


Product Lifecycle Management (PLM) for Retail is an evaluation model containing tailored PLM criteria and extra functionalities that serve the specificities of this industry in order to help fashion goods (including apparel, footwear, accessory, and home fashion) manufacturers and retailers to achieve more efficient product development, lower cost, and better collaboration and control throughout the whole supply chain.

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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 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.

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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.

comment 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 Path to Healthy Data Governance through Data Security


Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

comment technical data plm  Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path Read More

Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

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