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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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 data networks or van sterling


ROI Case Study: Sterling Commerce and Crowley Maritime
Crowley Maritime, offering a range of services such as shipping and barge towing, needs rapid customer billing and invoicing. The company’s electronic data

data networks or van sterling  , Configurable VAN , Data Networks Or VAN , Data Networks Or Value-Added Network , VAN Definition , Value Added Network Services , Privately Owned Network , Shared Intelligent Data Network , Complete Value Added Network , Complete VAN , Value Added Network Solution , VAN Solution . --> THE BOTTOM LINE Deploying Sterling Commerce s Gentran Integration Suite enabled Crowley Maritime to support growth without adding new staff, accelerate the onboarding of new customers, and eliminate costs of participating

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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 networks or van sterling

Enterprise Application Integration - the Latest Trend in Getting Value from Data


Enterprise Application Integration (EAI) is one of the hot-button issues in IT for the Year 2000. Information Week Research's survey of 300 technology managers showed nearly 75% of respondents said EAI is a planned project for their IT departments in the coming year. According to a survey conducted by Bank Boston, the market for EAI is expected to be $50 Billion USD by 2001. However, successful EAI requires a careful combination of a middleware framework, distributed object technologies, and custom consulting.

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SAP to Acquire Ariba, Expand Cloud Presence - First Impressions


SAP and Ariba apparently have good poker faces, since during their recent user events, AribaLIVE 2012 and SAPPHIRE NOW 2012, there was no inkling of this development. At first glance, this is a good fit, as a plethora of large SAP customers use both Ariba Network and Ariba’s procurement, sourcing, contract management, e-invoicing, etc. software (in fact, in the early 2000s, the name Ariba was

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OpenText Acquires GXS: Will Content and Process Management Enrich EDI?


A decade ago or so, there were three leading enterprise data interchange (EDI) and business-to-business (B2B) network integration providers: Sterling Commerce, Inovis, and GXS. While the latter two merged under GXS in the mid 2000s, Sterling Commerce is now a part of IBM’s Smarter Commerce initiative. Now, OpenText, a provider of enterprise information management (EIM)software, has announced

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B2B E-business in the Supply Chain: New Services and Technologies Require Companies to Reevaluate Their Strategies


IT groups aspire to standardize on common integration platforms, but the pressure to integrate with business partners quickly often forces companies to favor expediency over strategy. With so many technology choices, it’s important to understand the role each can play when building an overall business-to-business (B2B) strategy. Learn about the four points you should consider when evaluating vendors and service providers.

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Sterling Commerce, an AT&T company


Sterling Commerce, a subsidiary of AT&T, Inc. (NYSE:T) is a provider of business-to-business (B2B) commerce solutions, with more than 29,000 companies using Sterling Commerce Solutions worldwide. The company’s software and services aim at improving current processes or deploying new business processes through integration efforts between applications, external partner systems, and people. With almost thirty years of experience serving tens of thousands of customers in a range of industries, Sterling Commerce is a top 25 software company. The vendor is headquartered in Columbus, Ohio (US).

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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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Protecting Sensitive Data on Shared Networks: How to Provide Persistent Encryption of Confidential Folders on Corporate Networks


Companies want to manage security risks and encryption to protect data and to comply with industry guidelines. The desire to separate network management from document ownership can create additional security concerns, as IT services are outsourced. To address these issues, you need to ensure your security solution provides visible and on-going encryption of sensitive data files shared on your networks. Learn more.

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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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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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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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