A Big Data Management Framework for Wegagen Bank S.C
| dc.contributor.advisor | Teferi, Dereje (PhD) | |
| dc.contributor.author | Fikiru, Zekarias | |
| dc.date.accessioned | 2020-12-18T10:25:45Z | |
| dc.date.accessioned | 2023-11-09T15:32:32Z | |
| dc.date.available | 2020-12-18T10:25:45Z | |
| dc.date.available | 2023-11-09T15:32:32Z | |
| dc.date.issued | 2020-09-09 | |
| dc.description.abstract | The Ethiopian banking industry is one of the fastest growing in the economy, Wegagen Bank is one of the pioneer private banks in Ethiopia and it is among the top list of banks in the country. The financial services industry is amongst the most data driven and increasingly facing the challenge of big data where very huge quantities of structured and unstructured data stored in a variety of systems and formats. Big data draws global attention and can be best described using volume, variety and velocity. Big data refers to environment in which data sets have grown too large to be handled, managed, stored and retrieved in an acceptable timeframe. Given the enormous growth of data, banks are suffering from their inability to effectively exploit their data assets. Utilizing this data in a productive way is the need for banks and also for all data driven businesses. The recent advancement in ICT and digital data has led organization to efficient decision-making. These days’ organizations can store huge amounts of data, which can be accessible at any time. Big Data management refers to the management of huge volumes of an organization’s data, exploiting it in the organization’s decision-making using different analytical tools. The promise of big data in the field of banking is great. Big Data emergence provides great opportunities, but it also brings challenges. However, for Big Data management, data has to be prepared in a timely manner, keeping in view the consistency and reliability of the data, and being able to trust its source and the meaningfulness of the result. This study aims to explore the existing Big Data management frameworks and the Information Systems Design Research (ISDR) approach was employed. Data was collected through survey questionnaire and interview with IT staffs including IT support staffs, e-banking officers, network admins, system admins and database managers and the result has been interpreted. The study proposes a new framework specifically for Wegagen Bank S.C. The proposed framework consists of three domains and within the domains there are sixteen components. As a framework evaluation, it is evaluated by experts and also the proposed framework has been compared with the ISO 8000 data governance framework. | en_US |
| dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/24179 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Big Data | en_US |
| dc.subject | Big Data Management | en_US |
| dc.subject | Big Data Governance | en_US |
| dc.subject | Big Data Management Framework | en_US |
| dc.title | A Big Data Management Framework for Wegagen Bank S.C | en_US |
| dc.type | Thesis | en_US |