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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...
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Documents related to » comment 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

comment technical data plm  Develop Technical Data | Comment Technical Data | Technical Data Form | Technical Data Required | Data Management | Data Management Architecture | Data Management Best Practices | Data Management Concepts | Data Management Definition | Data Management Division | Data Management Examples | Data Management Experience | Data Management Issues | Data Management Plan | Data Management Products | Data Management Program | Data Management Questions | Data Management Review | Data Management Services | Data Read More...
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

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...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

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Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

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Is MAPICS Getting the Magic of PLM? Part Three: Challenges and User Recommendations
MAPICS hereby joins the raft of enterprise resource planning (ERP) vendors that are making their way into the product lifecycle management (PLM) market by

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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

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Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

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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

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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

comment technical data plm  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica''s data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : Read More...
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

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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

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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

comment 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...
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

comment technical data plm  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More...
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

comment technical data plm  web content management software,database metadata,document metadata,information lifecycle management,metadata software,metadata definition,customer data integration,integration of data,metadata information,photo metadata,data integration services,data integration tools,business data integration,data quality analyst,legacy data integration Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

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