Data Governance to Be a Data-Driven Organization

Carlos Bassi, Solange Alves-Souza, Luiz Sergio de Souza

2024

Abstract

Many organizations have been trying to become data-driven which their business decisions, their relationships with customers / suppliers, the innovation of their products / services, the improvement in their performance and their growth are based on the collection and analysis of an increasing volume of data. To reach this level, organizations need to overcome a series of challenges related to the way they govern data and creating a data-driven culture. The main challenges to be overcome are directly related to data culture and the culture of the organization itself. These paper presents the results of a survey performed among 67 professionals with experience in Data Governance (DG) in which was possible to identify the main challenges to establish a DG program and data-driven culture in organizations, besides priories actions to face these challenges. The challenges and necessary actions to implement a DG program are shown and discussed. Addressing these challenges is fundamental to raising the organization culture and maturity in DG and, consequently, becoming a Data-driven organization.

Paper Citation

in Harvard Style

Bassi C., Alves-Souza S. and de Souza L. (2024). Data Governance to Be a Data-Driven Organization. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS; ISBN 978-989-758-716-0, SciTePress, pages 175-186. DOI: 10.5220/0012900700003838

in Bibtex Style

@conference{kmis24,
author={Carlos Bassi and Solange Alves-Souza and Luiz Sergio de Souza},
title={Data Governance to Be a Data-Driven Organization},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2024},
pages={175-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012900700003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
TI - Data Governance to Be a Data-Driven Organization
SN - 978-989-758-716-0
AU - Bassi C.
AU - Alves-Souza S.
AU - de Souza L.
PY - 2024
SP - 175
EP - 186
DO - 10.5220/0012900700003838
PB - SciTePress