Haag, S.S.HaagBauerdick, C.C.BauerdickCampitelli, A.A.CampitelliAnderl, R.R.AnderlAbele, E.E.AbeleSchebek, LiselotteLiselotteSchebek2022-03-062022-03-062018https://publica.fraunhofer.de/handle/publica/26999010.1016/j.procir.2018.03.304Modern sensor technology and decreasing hardware costs enable the collection of a wide range of data. Nonetheless, the collection of data itself does not generate value. The collected data must be processed and analysed. Many small and medium-sized enterprises already collect a number of data. However, there is no definite strategy, which data needs to be collected in order to acquire relevant insights into processes. The enormous potential of data analysis and the current lack of its implementation caused the development of this framework. It will assist enterprises to evaluate their own level of digitalization to assess resource use.endata analysisdata handlingdata reductiondigital transformationIndustrie 4.0information analysismanufacturemetadatanumber of datumresource efficiencyResource-efficientself evaluationsensor technologysmall and medium-sized enterprise666journal article