Data modelling for business intelligence solutions: Investigation into Edtech and Fintech businesses in Nigeria

Authors

  • Omolade Sunday Adeyemi Department of Business Administration Christopher University, Ogun State, Nigeria
  • Oluwatoyin Damilola Adeyemi Department of Economics and Business Administration, Aletheia University, Ago-Iwoye, Ogun State, Nigeria
  • Babalola Raphael Adensunloro Department of Accounting, Finance and Investment, Wesley University, Ondo, Ondo State, Nigeria
  • Oluwatoyin Alice Jayeoba Department of Business Administration, Osun State University, Osogbo, Nigeria

DOI:

https://doi.org/10.25299/ijbs.2026.24557

Keywords:

Data Modelling, Comprehensiveness of Business Model, Physical Model, Business Intelligence, Decision-making Speed, Business Performance

Abstract

The study examined how distinct stages of data modelling, business Modelling logical modelling dimensional modelling and physical modelling influence business performance in the Edtech and Fintech businesses in Nigeria.

The study adopted quantitative approach and survey data were obtained from 495 Nigerian Edtech and Fintech practitioner. Structural Equation Modelling was used by the way of SMART PLS4.

Findings reveal that integrated business model considerably enhance decision making speed, which mediates the relationship between data modelling and business performance.

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Author Biography

Omolade Sunday Adeyemi, Department of Business Administration Christopher University, Ogun State, Nigeria

The Head of Department, Business Administration,

Senior Lecturer,

Areas of specialisation are: Business Intelligence, customer data analytics, social media analytics and management information systems.

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Published

2026-03-31

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