Partner Data & AI
Dr. Christian Fürber
Dr. Christian Fürber is Partner Data & AI at OMMAX. He has over 20 years of experience in data management and is also an author and speaker.
About Christian
Dr. Christian Fürber is Partner Data & AI at OMMAX. He brings 20 years of data management experience and has built one of the first data governance organizations for the German Armed Forces.
Christian has held many roles, from data engineer to data owner. Among other things, he established one of the first data governance organizations for the German Armed Forces and introduced standardized data quality management there. Christian and his team have successfully implemented countless data projects and strategies for well-known companies in various industries, helping them derive significant added value from their data. In addition to his work at OMMAX, Christian is also an author and speaker at conferences (e.g., at MIT) and organizes the TDWI topic circle “Data Strategy & Data Governance".
Christian holds a doctorate in data quality from the Bundeswehr University Munich.
Publications
Fürber, Christian and Dittmar, Carsten: Data Governance as an Enabler of Digitalization, in: Gluchowski, dpunkt Verlag, 2020.
Fürber, Christian: Data Quality Management with Semantic Technologies, Dissertation, Springer Gabler, 2016.
Rohweder, J.; Fürber, C.; Piro, A.; Hillmeister-Müller, D.; Schmidt, T.; Friberg, T.: Error-Free Data, in: Piro, A. (Ed.): Assessing Information Quality – Fundamentals, Methods, Practical Examples, Symposion Publishing, pp. 91–114, 2014.
Fürber, Christian und Hepp, Martin: Using Semantic Web Technologies for Data Quality Management, in: Sadiq, S. (Ed.): Handbook of Data Quality: Research and Practice, ISBN 978-3642362569, Springer, 2013.
Fürber, Christian and Sobota, Joachim: A Data Quality Strategy for Large Organizations Using the German Armed Forces as an Example, HMD – Praxis der Wirtschaftsinformatik, Vol. 279, June 2011.
Fürber, Christian und Hepp, Martin: SWIQA – A Semantic Web Information Quality Assessment Framework, in: Proceedings of the 19th European Conference on Information Systems (ECIS2011), June 9th – 11th, 2011, Helsinki, Finland.
Fürber, Christian und Hepp, Martin: Towards a Vocabulary for Data Quality Management in Semantic Web Architectures, in: Proceedings of the 1st International Workshop on Linked Web Data Management (LWDM2011), March 25th, 2011, Uppsala, Sweden.
Fürber, Christian und Hepp, Martin: Using Semantic Web Resources for Data Quality Management, in: Proceedings of the 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW2010), October 11-15, 2010, Lisbon, Portugal, Springer LNCS Vol. 6317.
Fürber, Christian und Hepp, Martin: Using SPARQL and SPIN for Data Quality Management on the Semantic Web, in: BIS 2010. Proceedings of the 13th International Conference on Business Information Systems, May 3-5, 2010, Berlin, Germany, Springer LNBIP.
Talks & Lectures
MIT Chief Data Officer Forum & Information Quality Symposium (MIT CDOIQ 2023): Driving Digitalization with Data Performance Management. MIT, Boston / USA.
MIT Chief Data Officer Forum & Information Quality Symposium (MIT CDOIQ 2022): Achieving Data Excellence in a Federated Organization. MIT, Boston / USA.
5th Edition Regulatory Information Management and Data Quality for Pharma Sector: A Data Governance Framework for Sustainable Data Quality Improvement. 12.-13.April 2018, Berlin, Germany.
13th European TDWI Conference (TDWI 2013): A Strategy for Sustainable Improvement of Data Quality. June 17–19, 2013, Munich, Germany.
10th German Information Quality Conference (GIQMC 2012): Management of Information Quality in Wikipedia. November 22–23, 2012, Bad Soden, Germany.
MIT Chief Data Officer Forum & Information Quality Symposium (MIT CDOIQ 2012): Using Semantic MediaWiki for Data Quality Management in the German Armed Forces. 17. - 20. Juli 2012, MIT, Boston / USA.
5th MIT Information Quality Industry Symposium (MITIQ 2011): A Data Quality Strategy for Large Organizations. 15. Juli 2011, MIT, Boston / USA.
9th German Information Quality Conference (GIQMC 2011): A Data Quality Strategy for Large Organizations Using the German Armed Forces Logistics as an Example. November 3–4, 2011, Bad Soden, Germany.