Targeted data analysis for better product quality
The hunt for hidden patterns
Data acrobats: (from left) Dr. Andreas Schuppert, Dr. Daniel Leineweber and Dr. Susanne Rommel
Data acrobats: (from left) Dr. Andreas Schuppert, Dr. Daniel Leineweber and Dr. Susanne Rommel
"Now, I know I put it in a safe place..." must be one of the most frustrating phrases in the English language, for companies just as much as for individuals. Often the solution to a problem lies hidden in the mountains of data that firms store. This fallow field of unused data is a veritable treasure trove for the experts working at Bayer Technology Services' Computational Solutions competence centre. On their hunt for hidden gold they use a set of sophisticated mathematical methods to bring order and structure into the data pile, a process known as data mining.
Safe drugs thanks to data mining 
The process was originally used by banks and insurance companies to market their products more effectively and perform thorough customer solvency checks. Bayer's experts are using data mining to optimise a number of manufacturing processes and to develop research projects. The aim is to improve processes and boost quality. As a result they ensure high standards in drug production and enable new products like gene chips to be created for the first time. To find out more about the precious data which Bayer's experts have already discovered, read the article (PDF file) below.



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