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Software Functionality Revealed in Detail
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 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

data interchange  Keys to Automated Data Interchange 5 Keys to Automated Data Interchange If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In 1995, Emanio was one of the first companies to send EDI messages over the Internet and integrate these into backend ERP and Supply Chain Management systems through a single tool. Source : Emanio Resources Related to Automated Data Interchange : Automated Data Processing (Wikipedia) Automatic identification 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

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » data interchange

GXS Acquires HAHT Commerce or More Synchronized Retail B2B Data Part Four: Challenges and User Recommendations.


With the acquisition of HAHT, GXS is making a play to build out its complementary software offerings--in particular, its product information management (PIM) and data synchronization tools.

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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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GXS Acquires HAHT Commerce for More Synchronized Retail B2B Data Part One: Event Summary


GXS, a business to business e-commerce pioneer, announced its acquisition of channel management specialist HAHT Commerce. However, despite a good complementary fit, enlarged customer base, and improved cross-selling opportunity (especially to existing customers in the retail sector), some challenges will have to be overcome and a more detailed strategy will have to be fleshed out.

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EDI versus. XML--Working in Tandem Rather Than Competing?


Electronic data interchange (EDI), extensible markup language (XML) , and any other format are merely "semantics" and input streams for expressing data, and whether a transaction is transmitted in EDI format or XML is largely secondary to the fact that electronic document and data exchange is growing rapidly.

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The New Virtual Data Centre


Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

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Don't Be Overwhelmed by Big Data


Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Big Data can be a Big Deal - read this white paper for some useful tips on ensuring secure, quality data acquisition and management.

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ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud


Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability.

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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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Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

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