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NearshoreIT - Blog

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Nearshoring – almost like at home

01 August 2016

Due to the increasing demand for IT professionals in virtually all sectors of the economy, and also to the deficiencies in local labor markets, the outsourcing of IT services through the nearshore model is growing in popularity. However, companies often hesitate before deciding to utilize outsourcing in the scope of body and team leasing with […]

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Nearshoring – the good and the bad

15 July 2016

The development of information technology is one of the strongest drivers in the acceleration of the globalized world economy. For business, borders are disappearing; gaps in the local labor market can be made up by specialists available in other parts of the world. For professionals it’s much the same – huge demand for specialist knowledge […]

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Outsourcing after Brexit – a Central / Eastern European view

04 July 2016

After the referendum in which the British decided to leave the European Union, there has been an abundance of comments, analyses and forecasts of what will happen after the so-called ‘Brexit’. Much of the world is in shock. All the countries, industries and companies operating on the European market must verify their current strategy and […]

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How not to come unstuck when implementing a Business Intelligence system – part 2

02 June 2016

Problems in the implementation of a Business Intelligence system may arise in any organization. They are most commonly associated with typical phenomena such as excess data, only part of which is valuable for the business, or a lack of appropriate order and completeness. Fortunately, these problems can be solved – mainly thanks to competent pre-implementation analysis, which […]

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How not to come unstuck when implementing a Business Intelligence system – part 1

30 May 2016

The implementation of Business Intelligence systems is always a challenge for any enterprise. With such a large project, problems are unavoidable, but through adequate preparation you can certainly minimize the risk of failure. Looking at companies in terms of data that BI is to analyze, each company is clearly unique and exceptional, and thus requires an individual […]

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