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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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 high level data diagram


Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

high level data diagram  at APC to develop high-efficiency, modular, scalable data center infrastructure solutions and is the principal architect of the APC InfraStruXure system. Prior to founding APC in 1981, Neil received his Bachelors and Masters degrees from MIT in electrical engineering where he did his thesis on the analysis of a 200MW power supply for a tokamak fusion reactor. From 1979 to 1981, he worked at MIT Lincoln Laboratories on flywheel energy storage systems and solar electric power systems. Suzanne Niles is a

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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

PPM for Professional Services Automation

A business practice that assists organizations to align their portfolio of projects with their business strategy. Professional services automation (PSA) refers to a system designed to streamline and track resources, projects, portfolios, revenues, and the costs of professional services organizations (PSOs), which provide billable services to their clients. Consequently, PPM for PSA provides both the high-level monitoring of project portfolios as business investments and automates the project-specific functionality of time, billing, expense reporting, opportunity management, and resource management, linking back office functionality with the PSO’s portfolio of projects. 

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Lean Manufacturing: Reaping the Rewards of Lean through Response Management


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An Introduction to Load Balancing


Is it possible for a business to ensure uninterrupted, secure, and high-performance access to network-based business applications and web sites? Yes. With network load balancers, user requests are evenly distributed among available servers so that individual servers do not become overwhelmed. Learn about the basics of load balancing and how it can improve the performance and security of your business applications.

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7 Steps to a Successful IP Telephony Implementation


Enterprises of all sizes are adopting Internet protocol (IP) telephony for cost savings and productivity gains—but high quality voice service takes more than just buying the latest equipment. Is IP telephony right for your organization and your network? Get the straight facts from an industry leader—along with a 7-step assessment and deployment checklist for a successful implementation.

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Best Practices for a Data Warehouse on Oracle Database 11g


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Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


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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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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

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Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

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