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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 processes


Bolstering the Call Center with Service Resolution Management Processes
Integrated customer relationship management and call center solutions (sometimes referred to as service resolution management) have, despite initial glitches

data center processes  looking for when that data may be residing in a variety of places. For example, product specifications, technical support, billing questions, and pricing and policy information can all be found in any number of places, such as CRM databases; legacy KM systems; frequently asked questions (FAQ) lists; intranets; content management systems; billing systems; or an automated response system. The goal here is to analyze the customer's problem, retrieve the information needed to solve that problem, and to do so

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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

Business Process Outsourcing (BPO)

Business process outsourcing (BPO) services manage critical front- and back-office processes that can include human resources and accounting as well as customer-related services such as contact center services. 

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Documents related to » data center processes

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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Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

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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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Can You Really Support Business Continuity Requirements? Intelligent N+X Redundancy, Placement Affinities, & Future Proofing in the Virtualized Data Center


Enterprises and service providers are challenged to ensure they have enough compute capacity in their virtualized data centers to support business continuity requirements, while not overprovisioning infrastructure capacity. Learn about the challenges introduced by affinity rules and how to manage them, and how “what-if” hypotheticals can help you plan for, or avoid, future capacity scenarios.

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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 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 information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

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Rover Data Systems


Rover Data Systems, Inc. was founded with the express purpose of providing an Enterprise Software Solution to address the needs of small and medium-sized Manufacturers and Distributors. During the time that Rover Data Systems has been in business it has accumulated a satisfied customer base, all running their business functions on Millennium III (M3) software. These companies range from the small (<$10M) to the mid-range (>$100M) and cover a broad range of industries from Electronics Manufacturing to Auto Aftermarket Manufacturing to distribution and service. Over the years, the company has also distinguished itself by providing excellent service to its growing installed base. In fact, Rover Data Systems has never lost an installed account to a competitive software product. The first customer still runs all of their operations on the Millennium III Enterprise System.

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Oracle Database 11g for Data Warehousing and Business Intelligence


Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

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Analytics and Big Data for the Mid-Market


Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from their data is challenging. This report focused on 69 mid-market organizations, offers guidance to these smaller companies on how they might narrow the options by revealing which technology enablers are prevalent in the mid-market, investigating which features are most used by top performing companies, and showing how these solutions provide tangible benefits to line-of-business operations.

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Protecting Critical Data


The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

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Data Leak versus Data Flood: Problems Addressed by Data Leakage and Data Breach Solutions


Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving a company via e-mail or Web applications. Database activity monitoring (DAM) is a data center technology that monitors how stored data is accessed. Learn why DAM complements DPL, and how you can benefit by making it part of your overall data security strategy.

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