TRANSLATING BUSINESS INTELLIGENCE INSIGHTS INTO GROWTH: A FRAMEWORK FOR BANK PRODUCT MANAGERS
This study explores how business intelligence insights contribute to business growth in the Nigerian commercial banking sector. Business intelligence is increasingly adopted by Nigerian banks to gain a competitive edge; however, many financial institutions struggle to fully leverage their business intelligence systems due to technological and operational challenges. This study adopted a qualitative research design to examine how business intelligence insights influence key growth indicators, including customer satisfaction, customer loyalty, and internal process efficiency for bank product managers using a hybrid of technology organisation environment and dynamic capability theory. A thematic analysis method was used to analyse the information gathered from respondents and it was found that customers and employees sometimes experience issues when using the digital banking channels provided by the Nigerian banks. Also, there is no effective use of the information provided to the bank by consumers This study concludes that consumers and employees of Nigerian banks can have better experiences when using the digital banking channels provided if there can be improvement in operational activities through the use of predictive analysis to get real time information. This study contributes to previous research in business intelligence by examining not just the adoption of business intelligence tools but the use of business intelligence tools for building better relationship with consumers and enhancing operational effectiveness in the Nigerian banking industry. It was recommended that banks should have a single profile that analyse the information gotten from consumers, develop young talents to solve their technological issues, make use of predictive analytics to examine customers profile and provide personalised information tailored to customer needs.
Institutions
- Artificial Intelligence in Medicine (Canada) (CA)
- Robert Gordon University (GB)
Publication Details
- Journal
- Wukari International Studies Journal
- Published
- 2025-09-29
- DOI
- https://doi.org/10.64633/wissj.v9i6.18
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00