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Authors: Rodrigo Prado 1 ; Edmir P. V. Prado 2 ; Alexandre Grotta 2 and Andre Montoia Barata 3

Affiliations: 1 EPAM – Enterprise Software Development, Design and Conculting , Krakow, Poland ; 2 IS Post-graduation Program (PPgSI), University of São Paulo (USP), São Paulo, Brazil ; 3 CitiBank, Data Governance Department, São Paulo, Brazil

Keyword(s): Data Governance, Consulting Services, Case Study.

Abstract: Data governance policies and procedures (DGPP) ensure proactive and efficient data management within the Enterprise context. Thus, DGPP corporate projects may result in positive impacts – we name benefits – to these companies. However, we found few studies reporting these benefits in-developing countries. Another gap is no evidence of a DGPP benefits model. Given this context, we first created a DGPP benefits model (DGB-M) via a Systematic Literature Review; we planned and conducted case studies at four different Brazilian industry sectors: agribusiness, fertilizers, automotive, and logistics. As main results, we have: (i) The DGB-M itself; (ii) evidence that 62% of the processes described by DGB-M were implemented by these four cases; (iii) evidence that 68% of the DGB-M benefits expected were achieved by these cases; and (iv) cases lessons learned. These results are highly relevant to forecast the benefits and challenges of future DGPP projects.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Prado, R., Prado, E. P. V., Grotta, A. and Barata, A. M. (2021). Benefits of the Enterprise Data Governance in Industry: A Qualitative Research. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 699-706. DOI: 10.5220/0010418606990706

@conference{iceis21,
author={Rodrigo Prado and Edmir P. V. Prado and Alexandre Grotta and Andre Montoia Barata},
title={Benefits of the Enterprise Data Governance in Industry: A Qualitative Research},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2021},
pages={699-706},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010418606990706},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Benefits of the Enterprise Data Governance in Industry: A Qualitative Research
SN - 978-989-758-509-8
IS - 2184-4992
AU - Prado, R.
AU - Prado, E.
AU - Grotta, A.
AU - Barata, A.
PY - 2021
SP - 699
EP - 706
DO - 10.5220/0010418606990706
PB - SciTePress