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A Quantitative Comparison of High Efficiency AC vs. DC Power Distribution for Data Centers
This paper presents a detailed quantitative efficiency comparison between the most efficient DC and AC power distribution methods, including an analysis of the

comparison data analysis  Quantitative Comparison of High Efficiency AC vs. DC Power Distribution for Data Centers This paper presents a detailed quantitative efficiency comparison between the most efficient DC and AC power distribution methods, including an analysis of the effects of power distribution efficiency on the cooling power requirement and on total electrical consumption. The latest high efficiency AC and DC power distribution architectures are shown to have virtually the same efficiency, suggesting that a move to a Read More

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Documents related to » comparison data analysis


Comparing Software Comparison Sites
A few online tools make it easy to compare criteria about software, side-by-side. Of course, you probably expect that I think TEC provides the mother of all

comparison data analysis  It opens up a comparison process to a wide and possibly unexpected audience. This could be a strength, helping visitors gain a variety of data but it could also prove a weakness. I’d love to see ITerating provide more background about the perspectives of each set of user ratings. Perhaps delineate and weight user scores based on whether the users are vendors, consultants, analysts, developers, clients, etc. I think this would help mitigate bias issues that could otherwise arise. ITerating offers quick Read More
5 Keys to Automated Data Interchange
The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data

comparison data analysis  edi codes | edi comparison | edi compliance | edi data | edi definition | edi development | edi diagram | edi document | edi documents | edi electronic | edi electronic data interchange | edi erp | edi file format | edi format | edi formats | edi guide implementation | edi guidelines | edi implementation | edi implementation guide | edi information | edi infrastructure | edi integration | edi integrator | edi map | edi mapping | edi mapping software | edi messaging | edi middleware | edi network | edi Read More
Financial Analysis Clears the “Profit Haze”
Designed to be agile and dependable, financial analysis solutions can bring clarity to the reasons behind your company’s growth, and help steer you toward

comparison data analysis  Article | Financial Analysis Comparison | Financial Analysis Data | Financial Analysis Experience | Financial Analysis Review | What-if Analysis Enables Companies | Financial Analysis Website | Online Financial Analysis | Performing Financial Analysis | Simple Financial Analysis | Financial Analysis Problem | Complex Financial Analysis | Financial Analysis Questions | Financial Analysis Models | Financial Analysis Cash Flow | Financial Analysis of Company | TEC Financial Analysis Performance | Whats is a Read More
Software Comparison in 5 Easy Steps
The latest addition to Technology Evaluation Centers’ (TEC’s) Web-based software evaluation system, TEC Advisor, is the new Express Software Comparison Report

comparison data analysis  interested in reviewing the comparison results at a later date or presenting the data to your colleagues, you can print the report or use the “Select a format” drop-down menu at the top of the page to export the data to XML, CSV, PDF, MHTML, TIFF, XLS, and DOC formats. I invite you to try TEC Advisor now and generate an Express Software Comparison Report for your software solutions of interest free of charge. What Next? The express report is intended to give you a high-level overview of broad feature Read More
Sentiment Analysis: Movie Reviews
Sentiment analysis is the method of extracting subjective information from any written content. It is being widely used in product benchmarking, market

comparison data analysis  sentiment analysis,natural language processing Read More
Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone
Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the

comparison data analysis  Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and Read More
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

comparison data analysis  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

comparison data analysis  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More
Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce

comparison data analysis  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Read More
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

comparison data analysis  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

comparison data analysis  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More
Fundamentals of Managing the Data Center Life Cycle for Owners
Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and

comparison data analysis  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and Read More
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

comparison data analysis  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 Read More
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

comparison data analysis  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. Read More

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