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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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 plm technical data sheets

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 » plm technical data sheets

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.

plm technical data sheets  with the latest SAP PLM solution.” But rather than brag about our capabilities, here are some actual customer quotes: “SAP Easy Document Management and cFolders Applications have improved our processes tremendously. We’ve gained better control of our documentation and can collaborate more effectively.” −Christian Matsson, Application Specialist, Vattenfall Business Services Nordic AB “Thanks to SAP PLM, we can now mange all of our technical documentation effectively throughout the lifecycle Read More

Product Lifecycle Management: Expediting Product Innovation


The highly competitive product manufacturing market makes true product lifecycle management (PLM) inevitable. PLM helps companies map product requirements to features, obtain control over product data, preserve product knowledge assets, and enter into the new paradigm of modular product development.

plm technical data sheets  main objective of any PLM system. When product development people are closer (virtually speaking), they can collaborate more efficiently. Due to current globalization trends, as well as the trend toward leveraging competencies and resources that are geographically separated, it has become mandatory to collaborate in a virtual environment. The health of the collaboration can be parameterized with three basic questions: How secure is your collaboration environment? How efficiently can you collaborate? How 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.

plm technical data sheets  Test Data Management | PLM Technical Data | PLM Technical Data About | PLM Technical Data Analysis | PLM Technical Data Analyst | PLM Technical Data Base | PLM Technical Data Chart | PLM Technical Data Control | PLM Technical Data Challenges | PLM Technical Data Definition | PLM Technical Data Information | PLM Technical Data Products | PLM Technical Data Management | PLM Technical Data pdf | PLM Technical Data Freeway | PLM Technical Data Report | PLM Technical Data Requirements | PLM Technical Data Read More

Demystifying SAP Solution Manager


Many large organizations are struggling to manage all their software systems—let alone the different software versions across departments. In his article, TEC principal analyst P.J. Jakovljevic discusses how SAP Solution Manager, a unique offering for centralized support and system management, covers all aspects of system deployment, operations, and continuous improvement, to ease customer pain with their complex IT environment.

plm technical data sheets  SAP CRM , SAP PLM , SAP BI , SAP SCM , etc., are the managed systems (the individual “organs”).   What Does SolMan Actually Do? Solution Manager is a set of tools for both functional and technical purposes. The technical aspect refers to the real-time monitoring, support, and maintenance (e.g., patches, support requests and related notes, etc.) of the entire IT landscape, regardless of the number of managed systems. For their part, functional tools serve to maintain a repository of documents and Read More

PeopleSoft Gathers Manufacturing and SCM Wherewithal Part Four: Challenges and User Recommendations


PeopleSoft manufacturing customers and J.D. Edwards customers in service industries should assess the vendor's product plans given these customers might benefit if PeopleSoft shares functions between the product sets.

plm technical data sheets  industries of focus. Also, PLM is necessary for enabling the design for manufacture and assembly (DFM/A) and concurrent engineering concepts, which helps simplify product design to enable smoother flowing processes, which in turn means easier production scheduling. A flattened BOM, as a result of the product development and manufacturing processes being designed concurrently, in addition to being much easier to plan and schedule than a non-flattened multi-level BOM, has many other advantages—from 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.

plm technical data sheets  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system Read More

Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

plm technical data sheets  implementing energy efficient data centers,implementing,energy,efficient,data,centers,energy efficient data centers,implementing efficient data centers,implementing energy data centers,implementing energy efficient centers,implementing energy efficient data. 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.

plm technical data sheets  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

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 quality is low, and the short- and long-term benefits are great.

plm technical data sheets   Read More

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. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

plm technical data sheets  data quality assurance plan,data quality assurance process,data quality assurance techniques,data quality attributes,data quality audit,data quality audits,data quality benefits,data quality best practices,data quality blog,data quality books,data quality business intelligence,data quality campaign,data quality center,data quality certification,data quality challenges Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

plm technical data sheets  etl data,data warehouse etl,etl software,data warehousing etl,etl technology,etl solutions,extract transform load,data integration,etl system,intranet software,etl process,the data warehousing institute,data warehouse and business intelligence,data warehousing and business intelligence,data warehouse training Read More

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

plm technical data sheets  Operational Data Lake: Your On Ramp to Big Data Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance Read More

Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

plm technical data sheets  data silo,business information systems,linked enterprise data,LED,business intelligence,BI,master data management,MDM,service-oriented architecture,SOA,search engines,Antidot,Antidot white paper,semantic web 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.

plm technical data sheets  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