TY - GEN
T1 - Master data management maturity model for the microfinance sector in Peru
AU - Zúñiga, Daniel Vásquez
AU - Cruz, Romina Kukurelo
AU - Ibañez, Carlos Raymundo
AU - Dominguez, Francisco
AU - Moguerza, Javier M.
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/4/9
Y1 - 2018/4/9
N2 - The microfinance sector has a strategic role since they facilitate integration and development of all social classes to sustained economic growth. In this way the actual point is the exponential growth of data, resulting from transactions and operations carried out with these companies on a daily basis, becomes imminent. Appropriate management of this data is therefore necessary because, otherwise, it will result in a competitive disadvantage due to the lack of valuable and quality information for decision-making and process improvement. The Master Data Management (MDM) give a new way in the Data management, reducing the gap between the business perspectives versus the technology perspective In this regard, it is important that the organization have the ability to implement a data management model for Master Data Management. This paper proposes a Master Data management maturity model for microfinance sector, which frames a series of formal requirements and criteria providing an objective diagnosis with the aim of improving processes until entities reach desired maturity levels. This model was implemented based on the information of Peruvian microfinance organizations. Finally, after validation of the proposed model, it was evidenced that it serves as a means for identifying the maturity level to help in the successful of initiative for Master Data management projects.
AB - The microfinance sector has a strategic role since they facilitate integration and development of all social classes to sustained economic growth. In this way the actual point is the exponential growth of data, resulting from transactions and operations carried out with these companies on a daily basis, becomes imminent. Appropriate management of this data is therefore necessary because, otherwise, it will result in a competitive disadvantage due to the lack of valuable and quality information for decision-making and process improvement. The Master Data Management (MDM) give a new way in the Data management, reducing the gap between the business perspectives versus the technology perspective In this regard, it is important that the organization have the ability to implement a data management model for Master Data Management. This paper proposes a Master Data management maturity model for microfinance sector, which frames a series of formal requirements and criteria providing an objective diagnosis with the aim of improving processes until entities reach desired maturity levels. This model was implemented based on the information of Peruvian microfinance organizations. Finally, after validation of the proposed model, it was evidenced that it serves as a means for identifying the maturity level to help in the successful of initiative for Master Data management projects.
KW - Data
KW - Master data management
KW - Maturity model
KW - Microfinance
UR - https://www.scopus.com/pages/publications/85050093807
U2 - 10.1145/3206098.3206127
DO - 10.1145/3206098.3206127
M3 - Contribución a la conferencia
AN - SCOPUS:85050093807
T3 - ACM International Conference Proceeding Series
SP - 49
EP - 53
BT - ICISDM 2018 - 2nd International Conference on Information System and Data Mining
PB - Association for Computing Machinery
T2 - 2nd International Conference on Information System and Data Mining, ICISDM 2018
Y2 - 9 April 2018 through 11 April 2018
ER -