Time for a data clean-up: spring-cleaning your database
For companies with a high volume of translations, language data is worth its weight in gold. For years, translation memories were filled and terminology databases built up – always with the aim of reducing translation costs, ensuring consistency and saving time. However, in many companies what began as a strategic investment has developed into an unmanageable mountain of data. The hoarding of language data is increasingly leading to the opposite of what was originally intended: rising costs, inefficient processes and even a loss of translation quality. So it's high time for a digital spring clean.