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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 outsourcing russia portugal


Winning the Race for Talent in Emerging Markets
Economic activity in emerging markets is growing at around 40 percent@as compared with 2 to 5 percent in the West and Japan. Businesses all over the globe are

data outsourcing russia portugal  of executives and collecting data from more than 20 global companies. Our goal was to identify the factors that differentiate the successful from the less so in emerging markets, and our first analysis revealed four: brand, opportunity, purpose, and culture. These may sound somewhat generic-and logical in any talent market-but they play out in developing nations in particular ways. Employees in the developing world aren't used to thinking about the future in expansive terms. Now they can look beyond

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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 outsourcing russia portugal

Why and How Outsourcing Management and Governance is Critical to Outsourcing Success


Organizations undertaking information technology and business process outsourcing typically are very focused on "doing the deal." This involves assessing service providers, determining geographies from which to source services, developing contracts, defining service levels, and a myriad of other tasks. Yet arguably the hardest part of outsourcing occurs only after the deal is done—performing ongoing outsourcing management and governance.

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Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Software Outsourcing Service


Depending on customers' needs, HopeRun provides offshore software outsourcing using a number of different models, including application development, QA, software localization, and operation support and maintenance. HopeRun provides application development in its complete cycle from business requirement analysis, design, development, testing, delivery, and up to post-production maintenance. Due to the company's strict compliance to CMMI3, HopeRun guarantees its development cycle follows industry standards and its final deliverables are of high quality. For customers in need of outsourcing QA processes or expanding their existing QA teams, HopeRun has a team of QA specialists. The company's service includes regression testing, performance testing, test case design, and automated test scripts. HopeRun's QA team can take advantage of the potential time zone difference and provide overnight QA services to its customers. If a company's software products are written in English or Japanese and are ready to be marketed in other languages such as Chinese, HopeRun provides localization service to make those products ready for the global market. Finally, with engineers experienced in a wide range of platforms such as Windows Servers, Unix, and Linux, HopeRun provides daily operation support and maintenance of customers' existing systems. Because of the potential time zone difference, HopeRun can perform maintenance tasks at late hours for its customers.  

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Outsourcing 101 - A Primer Part Three: Approaches and Recommendations


Outsourcing is a very diverse market, and there are many different outsourcing options and outsourcing service providers to choose from. This part discusses recommendations for companies looking to outsource, and recommendations for outsourcing providers.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

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Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

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