Name
Abstract | ||
|---|---|---|
Micro finance organizations play an important role since they facilitate integration of all social classes to sustained economic growth. Against this background, 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. Data Governance provides a different approach to data management, as seen from the perspective of business assets. In this regard, it is necessary that the organization have the ability to assess the extent to which that management is correct or is generating expected results. This paper proposes a data governance maturity model for micro finance organizations, which frames a series of formal requirements and criteria providing an objective diagnosis. This model was implemented based on the information of a Peruvian micro finance organization. Four domains, out of the seven listed in the model, were evaluated. Finally, after validation of the proposed model, it was evidenced that it serves as a means for identifying the gap between data management and objectives set. |
Year | Venue | Field |
|---|---|---|
2017 | ICEIS | Computer science,Data governance,Knowledge management,Capability Maturity Model,Social class,Finance,Data management,Disadvantage |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephanie Rivera | 1 | 0 | 0.34 |
| Nataly Loarte | 2 | 0 | 0.34 |
| Carlos Raymundo | 3 | 0 | 0.34 |
| Francisco Dominguez | 4 | 0 | 0.34 |