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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 data


CAD-Centric PLM, ERP-Centric PLM, and Organic PLM: What’s Right for You? - Part 2
Part 1 of this blog series started with the assertion that product lifecycle management (PLM) solutions are becoming increasingly important to enterprises, to a

plm data  reality is that a PLM implementation often means a product data management (PDM) implementation in an engineering department without implementation of very many collaborative PLM processes with other departments and trading partners. See  Kurt Chen’s blog post on the differing scopes of PDM and PLM . Another reality is that most of CAD-based PLM vendors’ revenues still come from their CAD businesses (over two thirds of revenue). On the other hand, SAP’s 8,000 PLM customers on paper make it the PLM

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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.

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 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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Documents related to » plm data

CAD-centric PLM, ERP-centric PLM, and Organic PLM: What's Right for You? - Part 3


Part 1 of this blog series started with the assertion that product lifecycle management (PLM) solutions are becoming increasingly important to enterprises in a strategic sense. However, not all PLM products are created equal, especially in light of their different origins. I then explored the advantages and weaknesses of the first group of PLM solutions: those coming from stalwart

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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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Autodesk and Jitterbit Partner to Increase Access to PLM Data


Autodesk continues its foray into the cloud product lifecycle management (PLM) game after its recent launch of Autodesk PLM 360 and acquisition of Inforbix. The focus of the Autodesk PLM 360 offering (bolstered by Jitterbit’s data integration) is to connect and orchestrate data transfers between systems. On the other hand, the focus of Inforbix is to index and mash up data across the

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Core PLM Product Data and Recipe Management--Process 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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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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Data Pro Accounting Software


Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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Data Management and Business Performance: Part 1-Data


Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

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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, 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.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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