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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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 data center infrastructure idc


Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

data center infrastructure idc  Data Management Goal | Data Center Management Best Practices | Business Intelligence Data | Managing Information Report | Managing Information White Paper | Data Mangement Benefits | Feeding Databases | Ensuring Data Security | Proliferation of Data | Data Deluge | Data Everywhere | New Ways of Visualising Data | Data Streams | Flow of Data | Cross-system Data | Crunch Data | Exploiting Data | Basket Data | Data Mining | Seismic Data | Database | Social-Security Data | Industrial Revolution of Data |

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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 center infrastructure idc

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

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Enterprises Reap Rewards of Modernizing Their ERP Systems


With increased mergers and acquisitions at the global level, organizations have started recognizing the benefits of upgrading to a modern enterprise resource planning (ERP) platform and a service-oriented architecture (SOA). Learn how different approaches to ERP system and architecture upgrades can help your company drive down costs, raise employee productivity, and produce meaningful business process improvement.

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KANA Software and Ciboodle Join Forces for Customer Experience Perfection


The multi-channel customer experience management software market represents an attractive US$5 billion-plus market opportunity, which IDC recently forecast to grow at between 5 to 12 percent through 2015 (a 6 percent compound annual growth rate [CAGR]) within the larger overall customer relationship management (CRM) space. To that end, in July 2012, KANA Software, a longstanding customer service

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Converged and Integrated Datacenter Systems: Creating Operational Efficiencies


This IDC Insight examines the benefits of an integrated infrastructure within the datacenter environment. The report incorporates data gathered through surveys and customer interviews to inform CIOs and datacenter managers on the benefits of integrated systems, including reduced head count and more efficient services.

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

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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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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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The Importance of a Single Product for Data Quality and Data Integration


Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.

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Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

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