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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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 home data entry


Nearshoring: Looking Closer to Home
Companies looking for savings but worried about the risks and cultural barriers involved in offshore outsourcing, whose business processes have a strong

home data entry  Nearshoring, Looking Closer to Home : Application Development Outsourcing | Application Outsourcing | Apply Business Process Outsourcing Architecture | Apply Outsourced Projects | Apply Outsourcing Management Systems | Applying Business Process Outsourcing Architecture | Applying Outsourced Projects | Applying Outsourcing Management Systems | Back-office Skills | Basic Applications Maintenance | Benefits of Offshoring | Benefits of Outsourcing | Benefits Outsourcing | BPO | BPO Analysis | BPO

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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

PLM for the Fashion Industry

Product Lifecycle Management (PLM) for Fashion is an evaluation model containing tailored PLM criteria and extra functionalities that serve the specificities of this industry in order to help fashion goods (including apparel, footwear, accessory and home fashion) manufacturers and retailers to achieve more efficient product development, lower cost, and better collaboration and control throughout the whole supply chain.  

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ACCPAC -- Being Much More Than Meets The Eye Part Two: Announcements Continued


ACCPAC continues to expand its products footprint and operations worldwide.

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Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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Case Study: Faith Promise Church


After struggling with manual and often duplicate data entry, paper-intensive processes, and a lack of visibility into financial data, Knoxville, Tennessee (US)-based Faith Promise Church needed a new accounting system that would scale as the church organization grew. Find out how Faith Promise selected a solution that provided much-needed process automation, as well as greater insight into financial operations.

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Ask the Experts: Data Purging and System Migration


One reader recently wrote in with this question: "... I wondered if you can point me at any related sites/groups/publications for more established users that discusses, for example migrating between ERP systems, purging ERP data, integrating data from acquired companies into ERP and PLM"We thought we’d take this on ourselves—but see the bottom of this post for more

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Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

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Data Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

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Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

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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.

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The Fast Path to Big Data


Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

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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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