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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 ireland


Sunny Malta as an Nearshore IT Outsourcing Location
Enterprises, largely based in the US, UK, Japan, and Austraila, are turning to offshoring as a way to minimize costs. The biggest offshoring region is currently

data outsourcing ireland  Data Entry Outsourcing | Data Outsourcing | Define Outsourcing | Development Outsourcing | Global Outsourcing | Help Desk Outsourcing | Human Resource Outsourcing | Information Technology Outsourcing | Infrastructure Outsourcing | Innovative Outsourcing | International Outsourcing | Knowledge Process Outsourcing | Legal Outsourcing | Logistics Outsourcing | Management Outsourcing | Managing Outsourcing | Manufacturing Outsourcing | Marketing Outsourcing | Network Outsourcing | Office Outsourcing | Online

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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 ireland

Nearshoring: Looking Closer to Home


Companies looking for savings but worried about the risks and cultural barriers involved in offshore outsourcing, whose business processes have a strong customer focus or regulations-driven reporting element, could benefit from nearshoring. Nearshoring involves outsourcing work to companies with the economic benefits of an offshore location, but a closer cultural, linguistic, and geographic fit with the user organisation.

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Challenges and Future Plans of a Product Inventory Disposition Vendor


Despite FreeFlow's success at helping organizations regain some margin of profitability for excess inventory, the company still strives for expansion and improvement as a product inventory disposition vendor, with the aim of meeting international environmental regulations down the track.

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QAD Inc.: The Art of Vertical Focus


QAD is competitive in ease of global multi-site implementation and quality of global service and support. However, QAD's financial position has eroded significantly over the last 18 months, and organizations evaluating QAD products should exercise moderate caution and consider existing functionality only until the Company regains a consistent, profitable financial position.

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Outsourcing 101 - A Primer Part Two: Outsourcing Categories


Outsourcing is a very diverse market, and there are many different outsourcing options and outsourcing service providers to choose from. This part examines the four broad outsourcing categories: application software, information technology infrastructure, business process outsourcing (BPO), and manufacturing.

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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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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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 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 decision support.

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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

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New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

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Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

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Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

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