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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 electronic data interchange


EDI versus. XML--Working in Tandem Rather Than Competing?
Electronic data interchange (EDI), extensible markup language (XML) , and any other format are merely

electronic data interchange  Competing? EDI History Since electronic data interchange (EDI ) has earned a reputation as a complex, rigid, and expensive means of business document and data exchange among trading partners, one would expect it to be relegated as a relic of a bygone era. In the computer business, where new technologies can come and go almost overnight, EDI should have long become an artifact, let alone a technology with a mid-life crisis considering a number of younger technologies, such as DOS or FORTRAN, have already

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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

Electronic Medical Records (EMR) for the Health Care Industry

Electronic Medical Records (EMR) assists physicians and other clinicians document patient care for current visits and provides access to patient clinical history. Sometimes may be referred to as computerized patient records (CPR). 

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Documents related to » electronic data interchange

5 Keys to Automated Data Interchange


The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data with in-house enterprise resource planning (ERP) and accounting systems. Unfortunately, over 80 percent of data integration projects fail. Don’t let your company join that statistic. Learn about five key steps to buying and implementing EDI to ERP integration software.

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Thriving Data Connectivity Division of Negotium Technologies Acquired by Technology Evaluation Centers (TEC)


Technology Evaluation Centers (TEC) has acquired the data connectivity and electronic data interchange (EDI) division of Negotium Technologies. The new division will operate as an independent, wholly owned subsidiary of TEC as Connectivia. The acquisition is a major stepping stone for TEC in its continued plans for growth and expansion of services in 2015.

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GXS Acquires HAHT Commerce for More Synchronized Retail B2B Data Part Three: Market Impact


There is renewed interest to provide GXS' trading services from other surviving Internet exchange providers to leverage GXS' huge expertise and investment in a global infrastructure to provide its trading services. In particular, GXS could cater for integration between the exchange and the enterprise systems of the members, including diverse back-office and front-office systems, and for processing and routing of transactions between participants.

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Microsoft Business Network (MBN)--Coming of Age? Part Three: Challenges and Competition


While on the surface, there are few economic or strategic reasons for organizations to persist with electronic data interchange (EDI), many seem reluctant to adopt the alternative at this stage. In fact, there has been almost negligible growth in the number of organizations replacing their EDI-based systems with XML.

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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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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.

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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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A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

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