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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 center management it


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

data center management it  APC Resources Related to Data Center Project Management : Data Center (Wikipedia) Project Management (Wikipedia) Data Center Projects: Project Management Data Center Project is also known as : Project Management , Internalize Data Centers , Data Center Project Management Services , Data Center Project Management , Virtual Data Center , Data Center Knowledge , Data Center Virtualization , Modular Data Center , Data Center Cooling , Data Center Virtualization , Data Center Costs , Massive Datacenter

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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 management it

Applying an Economic Model to IT Management: Operations Management in the Virtual Data Center


Virtualization systems have been replacing traditional, silo-based IT architectures to consolidate resources and workloads, but virtualization requires resource and performance management technologies designed to handle dramatically different, complex behaviors. This white paper describes a supply chain economy approach, which combines monitoring, analytics, and actions to enable proactive virtualization management.

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Classification of Data Center Infrastructure Management (DCIM) Tools


Data centers today lack a formal system for classifying infrastructure management tools. As a result, confusion exists regarding which management systems are necessary and which are optional for secure and efficient data center operation. This paper divides the realm of data center management tools into four distinct subsets and compares the primary and secondary functions of key subsystems within these subsets. With a classification system in place, data center professionals can begin to determine which physical infrastructure management tools they need—and don’t need—to operate their data centers.

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TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

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How Data Center Infrastructure Management Software Improves Planning and Cuts Operational Costs


Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This paper demonstrates, through a series of examples, how data center infrastructure management (DCIM) software tools can simplify operational processes, cut costs, and speed up information delivery.

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Incentive and Compensation Management


Enterprise incentive management (EIM) and employee compensation management sit between HR, CRM, Accounting, and sales force automation. These applications help sales executives gain perspective on sales performance, business operations, and manage compensation programs. EIM solutions are used to improve sales strategies.

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Pathways Materials Management, Financial Management


PDG Group Model 828

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The Path to World-class IT Governance: Maturing Your IT Organization to the Next Level


Many IT organizations lack clear well-defined plans that will bring them to mature governance. By focusing on seven key process categories, an organization can determine its governance maturity. A staged approach allows companies to realize rapid time to value by introducing new tools and processes on an incremental basis. As a result, they can avoid an expensive, one-size-fits-all governance solution that may bring failure.

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Enterprise Application Integration - Where Is It Now (And What Is It Now)? Part 1: What Is It Now?


Since January 2000 when TEC last addressed the trends in Enterprise Application, there have been massive changes in the overall direction of Application Integration in general and EAI in particular.

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Blackboard Learn 9.1 for Learning Management Certification Report


Blackboard Learn 9.1 is now TEC Certified for online evaluation of learning management systems in the Human Capital Management Evaluation Center. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.

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Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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