Integration of financial institutions supported with data asset development – Magyar Bankholding case study
DOI:
https://doi.org/10.35551/PFQ_2023_3_3Keywords:
Data asset management, data processing, data warehouse, C81, C88, D89, G29Abstract
Magyar Bankholding was created as a result of the integration of three large banks, where digitisation and data centricity, including also the creation of efficient data asset management, were emphasised from the very beginning. Our study investigates, as a case study, whether a survey and preparation work based on the maturity assessment method can shorten the implementation time of a data asset, estimated at 1 to 1.5 years, to 7 months in a complex bank integration process. The results were backtested one year after the work was completed, so all the effects could be evaluated. It can be concluded that the application of the methodology described in the study has had a positive impact not only on time requirements, but also on business, digitalisation and technological objectives.
References
Al-Dossari H., Sumaili A.A (2021): A Data governance maturity assessment: A case study of Saud Arabia, International Journal of Managing Public Sector Information and Communication Technologies (IJMPICT) Vol. 12, No.2, DOI: 10.5121/ijmpict.2021.12202 19
BB, MTB, MKB (2020): A Budapest Bank csatlakozik az MTB és az MKB megállapodásához, Sajtóközlemény, Forrás: https://www.magyarbankholding.hu/sw/static/file/A_Budapest_Bank_csatlakozik_az_MTB_es_az_MKB_Bank_megallapodasahoz_20200526__pdf_.pdf, olvasva: 2022.09.08
Bajnai, P. – Fenyves, V. (2021): A controlling szerepének és eszköztárának átalakulása a digitalizáció hatására, Controller Info, IX. évf. (4. sz.) pp. 2-8.
Benfeldt Nielsen O. (2017): A Comprehensive Review of Data Governance Literature, In: Rosseland, R. B. (ed.) Selected Papers of the IRIS, Issue Nr 8,: Halden – Norway, Forrás: http://aisel.aisnet.org/iris2017/3
Castanedo F. (2017): Understanding Data Goveernance. O’reilly Media, Inc., Sebastopol, CA
DAMA International (2017): The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK Guide) 2nd edition, Bradley Beach: Technics Publications, pp 4-16
DataFlux (2007): The Data Governance Maturity Model – Establishing the People, Policies and Technology That Manage Enterprise Data, White Paper, DataFlux Coorperation, Forrás: https://www.fstech.co.uk/fst/whitepapers/The_Data_Governance_Maturity_Model.pdf, olvasva: 2022.09.18.
Eckerson W. (2004): Gauge Your Data Warehouse Maturity, DM Review; New York Vol. 14, Iss. 11, 34. Forrás: https://www.proquest.com/docview/214694413?pqorigsite=gscholar&fromopenview=true , olvasva: 2022.09.19
Firican, G. (2017): Gartner Data governance maturity model, Forrás: https://www.lightsondata.com/data-governance-maturity-models-gartner/, Olvasva:2022.09.18
Gupta, U. Cannon, S. (2020): Data Governance Maturity Models, A Practitioner’s Guide to Data Governance, Emerald Publishing Limited, Bingley, DOI: 10.1108/9781789735673, pp 143-165
IBM (2007): The IBM Data Governance Council Maturity Model: Building a roadmap for effective data governance, IBM Corporation, Somers – NY, Forrás: http://www.databaser.net/moniwiki/pds/DataWarehouse/leverage_wp_data_gov_council_maturity_model.pdf, Olvasva: 2022.09.16
Inmon, W. H. (2005): Building the Data Warehouse, Fourth Edition. Indianapolis, Wiley Publishing, Inc., pp 29-40
Károlyi, G. (2021): Barna Zsolt az Indexnek: Nincs más választás, jobbat kell csinálni!, Index on-line, Forrás: https://index.hu/gazdasag/2021/12/21/barna-zsolt-interju-bankholding/, olvasva: 2022.09.08
Kecskés A., Zéman Z. (2018): Az árnyékbankrendszer klasszikus és jövőbeni kihívásai Magyarországon, Gazdaság és Pénzügy 5: 4 pp. 364-376., 13 p.
Khatri V., Brown C.V. (2010): Designing data governance, Communications of the ACM, Vol.53, Iss.1, pp 148– 152
Kimball R., Ross M., Thornthwaite W., Mundy J., Becker B. (2008): Data Warehouse Lifecycle Toolkit, second edition, Indianapolis, Indiana, John Wiley & Sons Ltd., pp 179-195
Kiss, M. (2022): Új márkanevet kap és tőzsdére lép a Magyar Bankholding, Index on-line, Forrás: https://index.hu/gazdasag/2022/09/13/bankholding-martzy-antal-tozsdei-bevezetes-interju/, olvasva: 2022.09.13
Lentner Cs., Vasa L., Kolozsi P. P., Zoltán Z. (2019): New dimensions of internal controls in banking after the GFC, Economic Annals-XXI 176: 3-4 pp. 38-48., 10 p.
Lo Franco R., Compagno G., (2018): Indistinguishability of Elementary Systems as a Resource for Quantum Information Processing. Phys. Rev. Lett. Vol. 120, 240403.
MBH (2021): A fintech cégeket is legyűrné a szuperbank – a kulcs a szürkeállomány, Forbes on-line, Forrás: https://www.forbes.hu/tamogatoi-tartalom/a-fintech-cegeket-is-legyurne-a-szuperbank-a-kulcs-a-szurkeallomany-2/, olvasva: 2022.09.08
MBH (2022): 2022 tavaszán MKB Bank Nyrt. néven egyesül a Budapest Bank és az MKB, Forrás: https://www.magyarbankholding.hu/hirekeskozlemenyek/fuzios-hirek, olvasva: 2022.09.08
MTB, MKB (2020): Holding társaságot alapít az MTB és az MKB Bank, Sajtóközlemény, Forrás: https://www.magyarbankholding.hu/sw/static/file/Holding_tarsasagot_alapit_az_MTB_es_az_MKB_Bank_20200515__pdf_.pdf, olvasva: 2022.09.08
Németh E. (2019): A pénzügyi kultúra fejlesztésének nemzeti stratégiái: Tapasztalatok és tanulságokAnnales, Universitas Budapestiensis de “Metropolitan 1: 11 pp. 5-15., 11 p.
Paulk M. C., Curtis B., Chrissis M. B., Weber C.V. (1993): Capability Maturity Mode for Software V1.1, Software Engineering Institute Carnegie Mellon University, Pittsburgh Pennsylvani 28. Petrella A. (2022): What Is Data Governance? Understanding the Business Impact, O’reilly Media, Inc., Sebastopol, CA
Seiner R. S. (2017): A Data Governance Maturity Model, The data administration Newsletter, Forrás: https://tdan.com/a-data-governance-maturity-model/16702, Olvasva: 2022.09.15
Spruit M., Sacu C. (2015): DWCMM: The Data Warehouse Capability Maturity Model, Journal of Universal Computer Science, vol. 21, no. 11, pp 1508 – 1534
Stanford University (2013): Stanford Data Governance Maturity Model.Forrás: http://web.stanford.edu/dept/pres-provost/cgi-in/dg/wordpress/wpcontent/uploads/2011/11/StanfordDataGovernanceMaturityModel.pdf, Olvasva: 2016.04.25.
Vajda G. (2022): Adatvagyon gazdálkodás hatása a nagyvállalati kontrolling munkára, Controller Info, Vol. X, No. 2, pp 44-51
Vajda G., Thalmeiner G., Nagy G. M. (2021): Data Asset Management and representations in a large enterprise environment. In: Serpeninova Y., Pál Zs., Hrytsenko L. (ed). Aspects of Financial Literacy: Proceedings of the International Scientific and Practical Conference March 22-23, 2021 Collection of Studies, Sumy State University – Sumy, pp 378-388
Zéman Z., Kalmar P., Lentner Cs. (2018): Evolution of post-crisis bank regulation and controlling tools: A systematic review from a histirical aspect, Banks and Bank Systems 13: 2 pp. 130-140., 11 p
