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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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 eam data for product manufacturing


QAD Ready for Life Sciences Manufacturing Needs
Life sciences manufacturing has been a hot vertical for QAD, both in terms of upgrading existing customers to the cloud and winning brand new cloud enterprise

eam data for product manufacturing  (BI), enterprise asset management (EAM), supplier scheduling, and additional data collection capabilities. The manufacturer also chose Strategic Information Group (SIG) as its implementation partner based on SIG’s experience implementing QAD software, extensive knowledge of the life science industry, and proven track record.   One key selection criterion was QAD’s cloud-based, FDA-qualified IT infrastructure that provides clients with an environment that is in a demonstrable state of control and

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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 Process Industries

The foundation of product lifecycle management (PLM) for the process (or recipe-based) manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including management of material specifications, recipes, formulas, production processes, design tools, document management, and collaboration. 

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Documents related to » eam data for product manufacturing

Selecting Manufacturing ERP for ISO 26000 Compliance


ISO 26000 spells out best practices for corporate social responsibility (CSR). Are your enterprise systems, including ERP, capable of documenting CSR best practices required for ISO 26000? And how does CSR help protect investors and other corporate stakeholders?

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EAM versus CMMS: What's Right for Your Company? Part Three: Analysis of IFS and Intentia


Having traditionally done implementations via their product delivery organization, IFS and Intentia also have long exhibited a focus on product quality and customer satisfaction, which manifests into a lasting relationship with each client. However like other enterprise resource planning (ERP) and supply chain management (SCM) software vendors, Intentia and IFS need to string together several quarters of profitability to restore consumer confidence and long-term stability.

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EAM versus CMMS: What's Right for Your Company


This article looks at where computerized maintenance management systems (CMMS) end and enterprise asset management (EAM) takes over, focusing on features and functionality of EAM software. It also compares CMMS and EAM software and explores the two key differentiators.

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Siemens Product Development Solutions for Process Industries


Process manufacturing companies have traditionally been slow to adopt product lifecycle management (PLM) solutions, mostly because they have not had many alternatives to choose from. The Siemens SIMATIC IT portfolio is one exception. Read TEC Analyst Gabriel Gheorghiu’s in-depth analysis of version 6.5 of the SIMATIC IT portfolio of products.

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Process Manufacturing: Industry Specific Requirements Part One: Introduction


As with any manufacturing operation, process manufacturing has special system requirements such as formulas, unit of measure conversions, and packaging recipes. However, within the realm of process manufacturing, specific industries have needs that are more critical than others. This article explores these critical needs for the food and beverage, chemical, and a hybrid industry -- textiles, so that you can focus on these requirements when evaluating enterprise-wide software.

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Time Management for HR: 5 Tips for Getting it All Done


Every time an employee calls a human resources (HR) department to check a company policy, change benefits information or obtain a form, this is time spent on administration that could be spent on strategic, goal-oriented activities.

It’s time to target and destroy the traditional HR distractions that may keep your teams from reaching their full potential. This guide outlines five practices and ways to leverage new technology. By streamlining or replacing old processes, going 100 percent paperless, and more, you can potentially save money and time as well as reducing your risk of costly compliance errors.

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Lean Manufacturing


In the manufacturing arena, lean is a top topic. And though companies expect a big payoff from the lean approach to manufacturing—including increases in production capacity and product quality, reduced production time and inventories, etc.—there is no ‘one-size-fits-all’ philosophy of applying lean principles to every manufacturing organization. Find out how you need to view lean to get the most out of it for your particular organization.

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Preparing for Product Development in Process Manufacturing


Combining process industry–oriented product lifecycle management capabilities with process manufacturing–oriented enterprise resource planning ones can help alleviate many of the challenges particular to the process manufacturers, especially in the areas of product development and regulatory compliance.

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The Travel and Expense Management Guide for 2014: Trends for the Future


Organizations typically spend 10 percent or more of their annual budget on expenses related to business travel. They need to reevaluate existing strategies for travel and expense management, how to overcome key challenges, and structure a robust program that balances core competencies and modern technology enablers. This paper focuses on the general business trends and economic challenges organizations face today.

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Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

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