Missing Data Techniques in Contract Benchmarking

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Spruit, Marco
dc.contributor.author	Wortmann, D.A.
dc.date.accessioned	2016-09-15T17:00:52Z
dc.date.available	2016-09-15T17:00:52Z
dc.date.issued	2016
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/24305
dc.description.abstract	Organizations may periodically perform benchmarks as a way to measure their performance. This study attemptsto find a method to provide a way of working to effectively go from raw data to data sets ready to be analyzed in the context of contract benchmarking. Furthermore, scripting tools are developed to automate some of the required steps and guidelines are provided to efficiently and effectively use the method provided by this research.
dc.description.sponsorship	Utrecht University
dc.format.extent	1252412
dc.format.mimetype	application/zip
dc.language.iso	en
dc.title	Missing Data Techniques in Contract Benchmarking
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	missing data, contract benchmarking
dc.subject.courseuu	Business Informatics