Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | ICISDM 2018 - 2nd International Conference on Information System and Data Mining |
| Publisher | Association for Computing Machinery |
| Pages | 49-53 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450363549 |
| DOIs | |
| State | Published - 9 Apr 2018 |
| Event | 2nd International Conference on Information System and Data Mining, ICISDM 2018 - Lakeland, United States Duration: 9 Apr 2018 → 11 Apr 2018 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 2nd International Conference on Information System and Data Mining, ICISDM 2018 |
|---|---|
| Country/Territory | United States |
| City | Lakeland |
| Period | 9/04/18 → 11/04/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty
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SDG 5 Gender Equality
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SDG 8 Decent Work and Economic Growth
Keywords
- Data
- Master data management
- Maturity model
- Microfinance
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