Downloads provided by UsageCounts
Since banking sector reflects a sophisticated structure of people, operations, procedures and information systems; Data mining management (DMM) in banks can be utilized as strategic tool to expand the banks’ capabilities in order to effectively resolve, adjust and develop a package of solutions to proactively deal with changing business environment. However, the focal point of this research is to explore how DMM practices including Data creation, Data storage and Data sharing can affects employees brand commitment in banks operation. In conclusion, Data is the key resource needed if an organization intends to operate at a level that is equal to no other. The study therefore recommends that an effective system should be put in place to ensure that relevant Data that will boost performance is identified. And also that Data acquisition is not only about acquiring mere databut mindfully managing data acquisition activities in order to tap into different kinds of data.
Data mining management , Effective growth and performance of Banking.
Data mining management , Effective growth and performance of Banking.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 2 | |
| downloads | 1 |

Views provided by UsageCounts
Downloads provided by UsageCounts