Complex business processes have caused the data management and analytics landscapes in large organizations to historically evolve into highly complex information systems that need to interconnect with a large number of source systems. We conduct research on how such complex data management and analytics systems can be effectively managed and improved, to enable organizations to respond to future challenges. Research topics include general data management, data quality governance, platforms, regulatory issues, technology stacks for advanced analytics, and applied data science.
The Data Management and Analytics Community (DMAC) comprises the researchers of IWI1 working together with large European banks on a broad range of current data management topics. Building on a long tradition in applied research in Information Logistics in Competence Centers like Enterprise Information Warehousing or Information Logistics Management, the Data Management and Analytics Community (DMAC) started out as an applied research project on Data Warehouse Management together with UBS and IBM in 2011. Within DMAC, the researchers of IWI1 together with large European banks discuss and work on a broad range of current data management challenges. Recent topics include IS complexity, agile development, banking APIs, data virtualization, metadata management, cloud migration, data science labs, CDO organizations, analytics ecosystems and data usability aspects of data management in large banks.
Prof. Dr. Jannis Beese