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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.
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 technical data specialist 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 » technical data specialist plm

Has SAP Become a PLM Factor to Be Reckoned With?


You have probably heard of SAP’s recent blockbuster acquisitions, but did you know about the vendor’s fervent in-house innovation and newly developed products for SCM and PLM sectors. In his recent article, TEC Principal Analyst P.J. Jakovljevic takes a close look at the continuous product and service innovation at SAP and discusses the key products and development strategies with SAP PLM solutions managers. Read more.

technical data specialist plm  mange all of our technical documentation effectively throughout the lifecycle of our processing facilities and supply disposal systems.” −Günter Schuster, Senior Engineering Manager and PLM Project Lead, Siltronic AG “SAP PLM helps us stay competitive. Without it, we could not keep up with our competitors in China and India.” −Anton Wüest, PLM Manager, Rieter Textile Systems  “Introducing SAP RPM boosts R&D performance toward more efficiency and predictability and supports fact-based Read More

Selecting PLM Software Solutions Part 5 - User Recommendations


This tutorial points out the significance of buyers researching PLM technology vendors before determining the short list and vendors researching the viability of the opportunity before committing time and money to a sales effort. Since a 'one-size-fits-all' product is still not quite a viable possibility, almost every product can win provided certain set of requirements. The Catch 22 for both buyers and vendors/VARs is to pinpoint the right opportunity in this ongoing 'dating game'.

technical data specialist plm  majority of functional and technical requirements show up time and time again. These have been captured for the PLM field within the PLM Evaluation Center . The remaining requirements may be peculiar to your business and industry (e.g., specific integrations to your existing applications), which need to be defined from scratch and prioritized appropriately. But, these should only be a small fraction of the entire immense RFI effort. Likewise, vendors'' effort in filling the new RFIs should only be limited Read More

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.

technical data specialist plm  Case Study: Cadbury plc Technical Data is also known as : Technical Data About , Technical Data Analysis , Technical Data Analyst , Technical Data Base , Technical Data Chart , Technical Data Control , Technical Data Challenges , Technical Data Definition , Technical Data Information , Technical Data Products , Technical Data Management , Technical Data pdf , Technical Data Freeway , Technical Data Report , Technical Data Requirements , Technical Data Rights , Technical Data Services , Technical Data 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.

technical data specialist plm  of resources by sharing technical information essential during research, design, development, production and operational phases of the life cycle of systems, facilities and equipment. For more information see www.gidep.org . The Fuses Have Been Lit Component Events could be compared to a bomb with a fuse that has been lit, lurking unseen and waiting to disrupt the lifecycle and profitability of the impacted products. The first step in addressing a Component Event is identifying that the component change Read More

The Role of PIM and PLM in the Product Information Supply Chain: Where is Your Link?


Diverse groups have been discussing PIM from the perspective of data synchronization and syndication, product lifecycle management (PLM), and enterprise publishing. Each of these product categories includes the management of product information, but each uses product information for a different operational role.

technical data specialist plm  product designs and specifications. Technical Origin Catalog focused, but includes EAI components; XML publishing. Engineering-focused, includes CAD and PDM; marketing-focused, includes project management and portfolio management. Leading Vendors Best-of-breed PIM vendors. Best-of-breed PLM vendors, some ERP suite providers. See Can ERP Speak PLM . Evolutionary Path Data synch > catalog > integration > workflow > syndication and synchronization to a variety of targets. Product data management > 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 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.

technical data specialist 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

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.

technical data specialist plm  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 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.

technical data specialist plm  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. Read More

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.

technical data specialist plm  facing executives. Fortunately, effective technical solutions are now available that can help. Read More

Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

technical data specialist plm  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More

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, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

technical data specialist plm  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, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More

Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

technical data specialist plm  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages Read More

Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

technical data specialist plm  Data and the Fast Data Stack Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds. This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, Read More

The Importance of a Single Product for Data Quality and Data Integration


Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.

technical data specialist plm  Importance of a Single Product for Data Quality and Data Integration Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. Read More