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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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 javascript data tags


Collecting Meaningful Data from the Web: Once an Impossibility, Now a Reality
The traditional way of extracting data from disparate data sources has been transformed by the emergence of new tools and applications, as well as the

javascript data tags  language ( HTML ), JavaScript , or simple object access protocol ( SOAP ) (among other technologies) to extract this information. This task is by no means easy, since standardization of various Web technologies is required for extracting data and transforming it into a unique source of information. The potential utility of this technology is huge. Some cases worth mentioning include the extraction of data from legacy systems, the extraction of information for data mining, and extraction of data for text

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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

Radio Frequency Identification (RFID)

Radio frequency identification (RFID) criteria cover tags and storage devices, readers, wireless hubs and servers, and the middleware necessary for evaluating an RFID system deployment. RFID systems are used in different situations that require the tracking of unique items. RFID tags, in the context of enterprise resource planning and supply chain management, make items visible from manufacturing through distribution. RFID tags may be used to carry basic information such as an address, to more complex information used at different stages of an assembly line.  

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TEC Industry Watch: Enterprise Software News for the Week of May 28th, 2012


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Software as a Service: Not without Caveats


Software-as-a-service solutions often cannot provide that final twenty percent or so that differentiates a company from its competitors. Of major concern is whether off-premise applications can support complex, global organizations on a constant basis and on strict service level agreements.

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Microsoft Dynamics CRM: Much More Than Meets the Eye - Part 2


Part 1 of this blog series discussed the current upbeat state of affairs of Microsoft Dynamics CRM, as one of the three best-performing products within the entire Microsoft Corporation of late. In a nutshell, during 2009 the product grew significantly and surpassed its one millionth user. Microsoft’s customer relationship management (CRM) offering has become attractive to

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Progress Exchange 2013 Part One: What's the Current State of Progress?


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Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


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Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

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


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Data Masking: Strengthening Data Privacy and Security


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Meet PCI DSS Compliance Requirements for Test Data with Data Masking


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