A Professor of Statistics at the Federal University of Technology Akure (FUTA), Professor Abayomi Akomolafe, has stated that an intentional and better application of modern statistical techniques, predictive analysis, and probability modelling can help Nigeria tackle growing challenges in healthcare, banking, the economy, and public service delivery.
Professor Akomolafe made this known while delivering the 198th inaugural lecture of the university titled “Clay in the Hand of the Potter: The Mystery of Probability Modelling in Statistics”, at the Obafemi Awolowo Auditorium.
According to the scholar, many of Nigeria’s persistent challenges, including disease outbreaks, inflation, unstable markets, poor economic planning, and inefficiencies in banking services, can be reduced through data-driven decision-making and scientific forecasting. \
Using the COVID-19 pandemic as an example, Professor Akomolafe explained that statistical regression models helped health authorities understand infection patterns and predict the spread of the disease over time.
He noted that predictive analysis can improve disease surveillance, strengthen contact tracing, enhance healthcare preparedness, and support emergency response systems before outbreaks escalate into national crises.
He added that statistical modelling can also assist hospitals and government agencies in allocating medical resources efficiently, identifying high-risk populations, and developing effective intervention strategies during public health emergencies.
Speaking on the Nigerian economy, Professor Akomolafe emphasised that evidence-based statistical forecasting is essential for improving fiscal policies, stabilising exchange rates, controlling inflation, and supporting sustainable economic growth.
He noted that accurate statistical data enables policymakers to better understand economic trends, consumer behaviour, and market fluctuations, thereby improving national planning and resource management.
The professor further explained that statistical analysis can help businesses and industries make informed investment decisions, improve productivity, and strengthen consumer confidence within Nigeria’s consumer-driven economy.
Addressing challenges within the banking sector, Professor Akomolafe identified delays in service delivery, poor queue management, and operational inefficiencies as major concerns affecting customer satisfaction.
He recommended the adoption of statistical models to improve customer flow management, optimise staffing during peak periods, and enhance the maintenance and performance of banking facilities. According to him, the use of statistical forecasting and operational analysis in banks would reduce waiting time, improve service efficiency, and strengthen customer relations across financial institutions.
Professor Akomolafe also highlighted the importance of advanced probability models in understanding consumer buying patterns, software market behaviour, and monopoly-related issues within the technology industry.
He explained that businesses and policymakers can use data analysis to improve branding strategies, market planning, and economic competitiveness.
He stressed that modern societies can no longer rely solely on assumptions and traditional planning methods, noting that scientific innovation, predictive modelling, and evidence-based governance remain critical to sustainable national development.
Professor Akomolafe therefore called for increased investment in statistical research, technological innovation, and collaboration among universities, industries, financial institutions, and government agencies to strengthen Nigeria’s healthcare system, economy, and public institutions.
In her remarks, the Vice Chancellor of Federal University of Technology Akure, Professor Adenike Oladiji, represented by the Deputy Vice Chancellor (Development), Professor Sunday Oluyamo, commended Professor Akomolafe for delivering an insightful lecture that highlighted the importance of statistics, innovation, and research in addressing national challenges and promoting sustainable development.
