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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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 ecommerce data


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

ecommerce data  Acquires HAHT Commerce for More Synchronized Retail B2B Data Part One: Event Summary Event Summary A refutation of the claim that the ongoing consolidation in the enterprise application space has of late largely been about pilfering install base, increasing market share, and saving the costs of economy of scale -based product, might be the recent merger of two players in the business-to-business (B2B) e-commerce arena, which claim that the rationale for their merger is to provide a more comprehensive s

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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 » ecommerce data

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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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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COSS Systems


COSS Systems offers a range of manufacturing software for small to mid-sized companies. It provides software, which assists companies to improve their data flow with the intention of increasing profitability, optimizing resource usage, and lowering the cost of growth. Primarily designed for make-to-order, make-to-stock, job shop, and custom manufacturers with various configurations, the company's software has features to support mixed mode and production manufacturing. COSS Systems is headquartered in Ontario, Canada and was formed in 1992.

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GXS Acquires HAHT Commerce for More Synchronized Retail B2B Data Part Two: HAHT Commerce


HAHT PIM is a strategic solution designed to meet current and evolving standards for collaborative trading. It empowers manufacturers to manage product information and optimize product data synchronization from product launch through to sunset via the automation of internal and external business processes with trading partners.

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The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

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The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

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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 Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

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Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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