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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 important technical data

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 important technical data

Critical Components of an E-PLM System


E-business has prompted a lot of vendors to move towards creating electronic product lifecycle management (e-PLM) suites. However, enterprise resource planning vendors with extensive e-commerce initiatives, development staffs, and renewed interest in PLM, are as likely to lead the way.

plm important technical data  the components of a PLM suite. Among the first vendors to move in this manner were SAP, through internal development and partnership; SSA Global, through acquisition and integration; and late, Oracle, through internal development and partnership. The market dynamic is toward the extended enterprise, especially as it relates to e-PLM. Software products must be designed to not only include multiple internal enterprise entities, but also external enterprise relationships. For example, in several industries s Read More

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 important technical data  with SAP PLM. SAP PLM can play an important role in improving the efficiency of ongoing production, service, and support of released products. Current and prospective customers of SAP ERP might want to explore the capabilities of SAP PLM 7.01, as SAP’s ERP software already includes a significant percentage of SAP''s PLM capabilities. Read More

Are PLM and Global Sourcing Related? Duh, And How! (Part I)


A number of TEC blog posts have discussed benefits but also the inevitable caveats of white papers (including all too common vendors' self-serving marketing fluff and buzzword verbiage), and about their (un)intended audiences. These posts have even caused some heated debates with other blogging sites and experts on white papers, and I am going to stay away from all that here. My intention here

plm important technical data  PLM and Global Sourcing Related? Duh, And How! (Part I) A number of TEC blog posts have discussed benefits but also the inevitable caveats of white papers (including all too common vendors'' self-serving marketing fluff and buzzword verbiage ), and about their (un)intended audiences . These posts have even caused some heated debates with other blogging sites and experts on white papers , and I am going to stay away from all that here. My intention here is rather to acknowledge that, as part of my daily r Read More

PLM Migration: Migrate Your Mind First


This article identifies the increasing requirements of system replacements in the product lifecycle management (PLM) area and recommends users rethink the implementation scope, system integration, acquisition method, and so on before strategizing their PLM migration plans.

plm important technical data  PLM migration, as a PLM adopter, it is important that you first refresh your understanding to the PLM methodology and the PLM market. If you have implemented PDM/PLM systems years ago and haven’t paid much attention to the PLM market after the implementation, you may need to refresh some of your PLM thoughts: 1. PLM is for the product design and development department. It is true that product design is where today’s PLM originated. The product design and development department has been and will remai Read More

A Two-layer Model for Fashion PLM Functionality


To help fashion players achieve the most out of adopting PLM methodology and systems while respecting the uniqueness of fashion products and business processes, the article introduces a two-layer model to facilitate the process of selecting a fashion PLM solution.

plm important technical data  When we talk about PLM methodology in the context of the fashion business, recognizing the specificities of the fashion industry is as important as understanding what PLM is in the generic setting—if not more important. I have learned from a vendor that it originally used its traditional PLM solution (for industries such as automotive and aerospace) for the fashion industry, hoping it would perform well after some modifications. The results were not so successful until the vendor thoroughly rebuilt 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 important technical data  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

Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

plm important technical data  data profiler,data cleansing software,data profiling tool,data warehouse software,data quality software,data hygiene,data quality tools,ascential etl,data quality tool,etl software,data cleansing tools,ascential datastage,data profiling tools,datastage job,data warehousing software Read More

Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

plm important technical data  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data 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.

plm important technical 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 Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

plm important technical data  Center Projects: Project Management Data Center Projects: Project Management If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today''s always on, always available world where businesses can''t stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in 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.

plm important technical data  IBM,data protection,disaster recovery,disaster recovery plan,data protection manager,disaster recovery planning,backup disaster recovery,data disaster recovery,data protection system,disaster recovery software,continuous data protection,disaster recovery services,data protection services,disaster recovery systems,data disaster recovery plan 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, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

plm important technical data  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

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 important technical data  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such 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.

plm important technical data  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

Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

plm important technical data  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More