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Data analytics involves collecting, processing, and analysing large amounts of data and making decisions based on this information. Tiina Pärson, leading analyst at Statistics Estonia, said that the use of data analytics in enterprises has quickly gone from being a niche skill to a common and natural part of daily work. “Data analytics is like a compass for enterprises, allowing them to better understand the market and their customers, increase efficiency, and make data-driven decisions. Two years ago, approximately 19% of enterprises used data analytics, while this year the figure stands at
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The purpose of research and development (R&D) is to acquire new knowledge or use existing knowledge in a novel way. R&D means, for example, the improvement of a product or work process. R&D ends when the main product is developed and the focus is shifted to production planning or market expansion. The main features of R&D are novelty, creativity, ambiguity, systematicity and transferability. Novelty means discovering something new, and with that goal in mind, researchers carry out studies at universities and research institutes. In business, novelty refers to new discoveries or technologies
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