How are you dealing with the challenge of processing global data?
Working with data that you can trust is a boundary condition for global business environments. Customer data integration, master data management, compliance to laws and regulations, and operational excellence all rely heavily on customer data being actual, complete, and, above all, unique.
So what knowledge and rules are behind the solutions that support organizations in getting and keeping their global data reliable? The answer lies in the application of robust transliteration and transcription, normalization and intelligent comparison methods.
This paper offers an insight into the impact of transliteration and transcription on multilingual data matching methodologies. It explains the details with illuminating examples, making the complex issue accessible to a business audience.