This image shows Christoph Gröger

Christoph Gröger

Dr.-Ing.

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IPVS
Applications of Parallel and Distributed Systems

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Universitätsstraße 38
70569 Stuttgart
Germany

Subject

I'm enterprise architect for data analytics at Bosch and a senior technical professional in Bosch's global data strategy team. Besides, I'm guest researcher and lecturer at the University of Stuttgart. My overall area of expertise is industrial analytics, i.e., data management and data analytics in industrial value creation, with a current focus on data lakes and data strategies.

Watch the Communications of the ACM video on "There is No AI Without Data" to get an overview of my current work.

Online Profiles: ResearchGate | Google Scholar | ORCID

Last Update: June 2022

2022

  • Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: From Data Asset to Data Product – The Role of the Data Provider in the Enterprise Data Marketplace. In: Proceedings of the 16th Symposium and Summer School on Service-Oriented Computing (SummerSoC), to appear, Springer, 2022.
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  • Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Data Shopping – How an Enterprise Data Marketplace Supports Data Democratization in Companies. In: Proceedings of the International Conference on Advanced Information Systems Engineering (CAiSE) Forum, pp. 19-26, Springer, 2022.
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  • Gröger, Christoph: Industrial analytics – An overview. In: it – Information Technology, 64(1-2), pp. 55-65, De Gruyter Oldenbourg, 2022.
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2021

  • Eichler, Rebecca; Giebler, Corinna; Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: Modeling metadata in data lakes — A generic model. In: Data & Knowledge Engineering (DKE), 136, Paper 101931, pp. 1-17, Elsevier, 2021.
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  • Wagner, Eduard; Keller, Bernd; Reimann, Peter; Gröger, Christoph; Spath, Dieter: Advanced Analytics for Evaluating Critical Joining Technologies in Automotive Body Structures and Body Shops. In: Proceedings of the 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), to appear, Elsevier, 2021.
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  • Eichler, Rebecca; Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Enterprise-Wide Metadata Management - An Industry Case on the Current State and Challenges. In: Proceedings of the 24th International Conference on Business Information Systems (BIS), pp. 269-279, TIB Open Publishing, 2021.
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  • Birk, Alexander; Wilhelm, Yannick; Dreher, Simon; Flack, Christian; Reimann, Peter; Gröger, Christoph: A Real-World Application of Process Mining for Data-Driven Analysis of Multi-Level Interlinked Manufacturing Processes. In: Proceedings of the 54th CIRP Conference on Manufacturing Systems (CIRP CMS). Procedia CIRP, Vol. 104, pp. 417-422, Elsevier, 2021.
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  • Michalczyk, Sven; Nadj, Mario; Maedche, Alexander; Gröger, Christoph: Demystifying Job Roles in Data Science: A Text Mining Approach. In: Proceedings of the 29th European Conference on Information Systems (ECIS), Paper 115, AIS, 2021. 
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  • Petrik, Dimitri; Mormul, Mathias; Reimann, Peter; Gröger, Christoph: Anforderungen für Zeitreihendatenbanken im industriellen IoT. In: Meinhardt, S. (Ed.); Wortmann, F. (Ed.): IoT – Best Practices. pp. 339-377, Springer, 2021.
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  • Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: The Data Lake Architecture Framework: A Foundation for Building a Comprehensive Data Lake Architecture. In: Proceedings of the 19th Conference for Database Systems for Business, Technology and Web (BTW), pp. 351-370, German Informatics Society, 2021.
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  • Dreher, Simon; Reimann, Peter; Gröger, Christoph: Application Fields and Research Gaps of Process Mining in Manufacturing Companies. In: Proceedings of the Annual Conference of the German Informatics Society (Informatik) 2020, pp. 621-634, Gesellschaft für Informatik, 2021.
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2020

  • Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: A Zone Reference Model for Enterprise-Grade Data Lake Management. In: Proceedings of the 24th IEEE International Enterprise Distributed Object Computing Conference (EDOC), pp. 57-66, IEEE, 2020. 
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  • Eichler, Rebecca; Giebler, Corinna; Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: HANDLE - A Generic Metadata Model for Data Lakes. In: Proceedings of the 22nd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pp. 73-88, Springer, 2020.
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  • Michalczyk, Sven; Nadj, Mario; Azarfar, Darius; Maedche, Alexander; Gröger, Christoph: A State-of-the-Art Overview and Future Research Avenues of Self-Service Business Intelligence and Analytics. In: Proceedings of the 28th European Conference on Information Systems (ECIS), Paper 46, AIS, 2020. 
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  • Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Eichler, Rebecca; Schwarz, Holger; Mitschang, Bernhard: Data Lakes auf den Grund gegangen. Herausforderungen und Forschungslücken in der Industriepraxis. In: Datenbank-Spektrum, 20(1), pp. 57-69, Springer, 2020.
    [PDF] [Info]

 

2019

  • Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Modeling Data Lakes with Data Vault: Practical Experiences, Assessment, and Lessons Learned. In: Proceedings of the 38th International Conference on Conceptual Modeling (ER), Salvador, Brazil, pp. 63-77, Springer, 2019.
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  • Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Leveraging the Data Lake. Current State and Challenges. In: Proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), Linz, Austria, pp. 179-188, Springer, 2019.
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  • Gröger, Christoph; Hoos, Eva: Ganzheitliches Metadatenmanagement im Data Lake: Anforderungen, IT-Werkzeuge und Herausforderungen in der Praxis. In: Proceedings 18. Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW), Rostock, Germany, pp. 435-452. Gesellschaft für Informatik, 2019.
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2018

  • Gröger, Christoph: Building an Industry 4.0 Analytics Platform. Practical Challenges, Approaches and Future Research Directions. In: Datenbank-Spektrum, 18(1), pp. 5-14, Springer, 2018.
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2017

  • Kassner, Laura; Gröger, Christoph; Königsberger, Jan; Hoos, Eva; Kiefer, Cornelia; Weber, Christian; Silcher, Stefan; Mitschang, Bernhard: The Stuttgart IT Architecture for Manufacturing. An Architecture for the Data-Driven Factory. In: Hammoudi, S. (Ed.); Maciaszek, L. (Ed.); Missikoff, M. (Ed.); Camp, O. (Ed.); Cordeiro, J. (Ed.): Enterprise Information Systems (ICEIS) 2016. Revised Selected Papers. LNBIP Vol. 291, pp. 53-80, Springer, 2017.
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2016

  • Tokola, Henri; Gröger, Christoph; Järvenpää, Eeva; Niemi, Esko: Designing Manufacturing Dashboards on the Basis of a Key Performance Indicator Survey. In: Proceedings of the 49th CIRP Conference on Manufacturing Systems (CIRP CMS), Stuttgart, Germany. Procedia CIRP Vol. 57, pp. 619-624, Elsevier, 2016.
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  • Wieland, Matthias; Hirmer, Pascal; Steimle, Frank; Gröger, Christoph; Mitschang, Bernhard; Rehder, Eike; Lucke, Dominik; Abdul Rahman, Omar; Bauernhansl, Thomas: Towards a Rule-Based Manufacturing Integration Assistant. In: Proceedings of the 49th CIRP Conference on Manufacturing Systems (CIRP CMS), Stuttgart, Germany. Procedia CIRP Vol. 57, pp. 213-218, Elsevier, 2016.
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  • Gröger, Christoph; Stach, Christoph; Mitschang, Bernhard; Westkämper, Engelbert: A Mobile Dashboard for Analytics-Based Information Provisioning on the Shop Floor. In: International Journal of Computer Integrated Manufacturing, 29(12), pp. 1335-1354, Taylor & Francis, 2016.
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  • Gröger, Christoph; Kassner, Laura; Hoos, Eva; Königsberger, Jan; Kiefer, Cornelia; Silcher, Stefan; Mitschang, Bernhard: The Data-Driven Factory. Leveraging Big Industrial Data for Agile, Learning and Human-Centric Manufacturing. In: Proceedings of the 18th International Conference on Enterprise Information Systems (ICEIS), Rome, Italy, pp. 40-52. SciTePress, 2016. Best Paper Award.
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2015

  • Gröger, Christoph: Advanced Manufacturing Analytics - Datengetriebene Optimierung von Fertigungsprozessen. Dissertation, Josef Eul Verlag, 2015.
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  • Hoos, Eva; Gröger, Christoph; Kramer, Stefan; Mitschang, Bernhard: ValueApping: An Analysis Method to Identify Value-Adding Mobile Enterprise Apps in Business Processes. In: Cordeiro, J. (Ed.); Hammoudi, S. (Ed.); Maciaszek, L. (Ed.); Camp, O. (Ed.); Filipe, J (Ed.): Enterprise Information Systems (ICEIS) 2014. Revised Selected Papers. LNBIP Vol. 227, pp. 222-243, Springer, 2015.
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2014

  • Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: The Manufacturing Knowledge Repository. Consolidating Knowledge to Enable Holistic Process Knowledge Management in Manufacturing. In: Proceedings of the 16th International Conference on Enterprise Information Systems (ICEIS), Lisbon, Portugal, pp. 39-51. SciTePress, 2014. Best Student Paper Award.
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  • Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: Prescriptive Analytics for Recommendation-based Business Process Optimization. In: Proceedings of the 17th International Conference on Business Information Systems (BIS), Larnaca, Cyprus, pp. 25-37. Springer, 2014.
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  • Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: The Deep Data Warehouse. Link-based Integration and Enrichment of Warehouse Data and Unstructured Content. In: Proceedings of the 18th IEEE International Enterprise Distributed Object Computing Conference (EDOC), Ulm, Germany, pp.210-217. IEEE, 2014.
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  • Gröger, Christoph; Stach, Christoph: The Mobile Manufacturing Dashboard. In: Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Budapest, Hungary, pp. 138-140. IEEE, 2014.
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  • Hoos, Eva; Gröger, Christoph; Kramer, Stefan; Mitschang, Bernhard: Improving Business Processes through Mobile Apps - An Analysis Framework to Identify Value-added App Usage Scenarios. In: Proceedings of the 16th International Conference on Enterprise Information Systems (ICEIS), Lisbon, Portugal, pp. 71-82. SciTePress, 2014. Best Student Paper Award.
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  • Hoos, Eva; Gröger, Christoph; Mitschang, Bernhard: Mobile Apps in Engineering: A Process-Driven Analysis of Business Potentials and Technical Challenges. In: Proceedings of the 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME) 2014, Capri (Naples), Italy. Procedia CIRP Vol. 33, pp. 17-22, Elsevier, 2015.
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  • Kassner, Laura; Gröger, Christoph; Mitschang, Bernhard; Westkämper, Engelbert: Product Life Cycle Analytics - Next Generation Data Analytics on Structured and Unstructured Data. In: Proceedings of the 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME) 2014, Capri (Naples), Italy. Procedia CIRP Vol. 33, pp. 35-40, Elsevier, 2015.
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2013

  • Gröger, Christoph; Hillmann, Mark; Hahn, Friedemann; Mitschang, Bernhard; Westkämper, Engelbert: The Operational Process Dashboard for Manufacturing. In: Proceedings of the 46th CIRP Conference on Manufacturing Systems (CIRP CMS), Sesimbra, Portugal. Procedia CIRP Vol. 7, pp. 205-210, Elsevier, 2013.
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  • Gröger, Christoph; Silcher, Stefan; Westkämper, Engelbert; Mitschang, Bernhard: Leveraging Apps in Manufacturing. A Framework for App Technology in the Enterprise. In: Proceedings of the 46th CIRP Conference on Manufacturing Systems (CIRP CMS), Sesimbra, Portugal. Procedia CIRP Vol. 7, pp. 664-669, Elsevier, 2013.
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2012

  • Gröger, Christoph; Schlaudraff, Johannes; Niedermann, Florian; Mitschang, Bernhard: Warehousing Manufacturing Data. A Holistic Process Warehouse for Advanced Manufacturing Analytics. In: Proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), Vienna, Austria, pp. 142-155. Springer, 2012.
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  • Gröger, Christoph; Niedermann, Florian; Mitschang, Bernhard: Data Mining-driven Manufacturing Process Optimization. In: Proceedings of the World Congress on Engineering (WCE) 2012, Vol III, London, UK, pp.1475-1481. Newswood, 2012.
    [PDF] [Info]
  • Gröger, Christoph; Niedermann, Florian; Schwarz, Holger; Mitschang, Bernhard: Supporting Manufacturing Design by Analytics. Continuous Collaborative Process Improvement enabled by the Advanced Manufacturing Analytics Platform. In: Proceedings of the 2012 16th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), Wuhan, China, pp. 793-799. IEEE, 2012.
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  • Lecture: Industrial Analytics
    (SS2022)

  • Doctoral seminar: Industrial Analytics
    (WS2018, WS2019, WS2020, WS2021)

  • Lecture: Data Warehousing & Analytics, Part Data Mining
    (WS2015, WS2016, WS2017)
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