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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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 automation it data center


Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and

automation it data center  dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands.

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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

Sales Force Automation (SFA)

Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing territories, managing partners, and maintaining contact data. Systems often include various levels of analytic and reporting capabilities. 

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Documents related to » automation it data center

Automate to Optimize: The Foundation for Data Center Efficiency


IT administrators need to simplify both complex and routine tasks to deliver increasing value with limited resources. Data center automation can help minimize the duties associated with maintaining the existing infrastructure. Learn about a solution that can enable automated batch processing for more efficient operations, and integrate the diverse application and platform environments often found in today’s data centers.

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CRM: What Is It and Why Do It? Part One: Historical Background


Many consultants, vendors, and analysts today define CRM in terms of being a customer-centric business strategy that is enabled by a set of applications that support customer-facing functions and management decision making. That may capture the essence of what CRM is, but it does not begin to capture why an end user organization should invest significant resources to pursue such an initiative.

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Enhancing Interaction Center ROI in Turbulent Economic Times: Beyond Traditional Data Sources for Workforce Automation


Interaction center managers must deliver greater value on smaller budgets. But you can’t simply cut costs and services, or your customers won’t remain satisfied. To better weather the economic storm, release the untapped potential of your interaction center with software that maximizes your workforce management capabilities. Learn how to go beyond traditional channel data for bigger contact center return on investment.

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ITIL v3: Supporting the Evolution of IT Effectiveness for Improved IT Operations


IT is often characterized as distinct groups pursuing individual agendas and launching disconnected initiatives to increase operational efficiencies. To overcome this, organizations need a set of capabilities that can help improve coordination between IT and the rest of the business while facilitating effective service management. Adopting foundational technologies and a best-practice benchmark is a good place to start.

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Is ROI King In Evaluating IT Investments? Part 2. Measuring the Impact of IT Investments


If the underlying business assumptions change, the cash flow projections may be critically flawed but the KPI’s can still be relatively reliable indicators of the impact of an IT project. In the long run, IT project KPIs may be the best indicators for IT managers to use in evaluating the results of their IT investments.

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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 Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

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Aftereffects of Recession on IT Investment: Building a Robust IT Investment Model


The global economic recession has put immense pressure on companies to cut costs—particularly IT-related expenditure. Companies were often forced to run only a few projects with regulatory impact and immovable deadlines, proceeding against very lean budgets. Recently, key economies such as the US and China have started to show signs of recovery. Learn more about how the recession has had an impact on IT investment.

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Compliance, Not Conflict: From IT Security vs. IT Operations,


It’s an inescapable, undisputable fact that most organizations have conflict between IT security and IT operations. Having been given two distinctive—yet potentially contradictory—goals, in a sense they were destined to be at odds with one another. What does it take to bridge the gap between these two teams to achieve compliance? Can standardized processes and software tools help (or hinder) this effort? Find out here.

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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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