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Software Functionality Revealed in Detail
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 data synchronization and syndication


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

data synchronization and syndication  within its potentially all-encompassing data synchronization solution: Feature-rich product information management —The PIM solution of the HAHT Commerce Suite features a powerful UCCnet -interoperable catalog capable of aggregating, organizing, structuring, and managing item-related content. The solution can aggregate data from multiple internal sources including leading ERP systems, create a scalable data repository (catalog) for centralized management, and optimize data flow to multiple

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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

Product Information Management (PIM) RFI/RFP Template

Integration with Back-Office Systems, Product Information Repository, Data Distribution and Synchronization, Employee Productivity, Application Technology 

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Documents related to » data synchronization and syndication

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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JDA Portfolio: For the Retail Industry -- Part Five: Analysis of Market Impact


Given the competition for retail customers and wholesale orders is intense, retailers, including software vendors, must be able to meet consumer demand quickly, accurately and at the most competitive price. Despite its failed QRS acquisition, which promised to expand JDA's retail demand chain optimization applications, JDA Portfolio may be able to help retailers if it can overcome the challenges of servicing a fragmented sector and withstand the increasing competition.

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Mainstream Enterprise Vendors Begin to Grasp Content Management Part Three: Challenges


To conduct collaborative processes, businesses need embedded intelligence, and business intelligence (BI) or analytics applications focused on structured data offer only a part of the total solution. In other words, businesses also need content management for the unstructured data and content, which can contain a majority of business information, given that many decisions makers collaborate via e-mail or voicemail, which are examples of vast unstructured info that currently resides outside of business processes and of the reach of ERP and BI systems.

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Prodika PLM Solutions


Sherry Fox (6/23/2015 10:02 AM): Oracle Prodika became Agile PLM a long time ago. Please put Prodika offline. Prodika delivers collaborative Product Lifecycle Management (PLM) solutions for companies in CPG and Process industries. Prodika PLM Solutions include; Global Specifications Management; Quality, Safety, and Regulatory Compliance Management; New Product Development and Introduction processes; Packaging and Label Management processes, Product Data Synchronization and Syndication; Value Chain Performance Management; Product Portfolio Management; Recipe/Formulation-based Product Design and Virtual Prototyping. Prodika solutions are delivered as managed application services based on the Microsoft .NET platform and a service-oriented architecture. Deployed around the world, Prodika solutions natively support product specifications and collaborative PLM processes in all languages, cultures, and currencies.  

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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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Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

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Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

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


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

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