Factors to consider for a great Transaction Categorization Engine
More Financial Services Providers (FSPs), both traditional and fintechs are increasingly introducing personal finance management (PFM) features into their mobile banking solutions. Some of these features monitor and report day-to-day spending, provide tools that help
Read More ⟶Nigerian FSPs can create value from customer transaction categorisation
We all have at one point in our lives groaned at the tedious nature of having to manually track our expenses. These days, Personal Finance Management (PFM) tools make this easy and intuitive. With these
Read More ⟶Credit risk management models for the new normal
In our last article, we highlighted the economic effects of the ongoing COVID-19 pandemic, the oil price shock and how both factors have heavily contributed to Nigeria’s looming recession. The virus’s global impact is in
Read More ⟶Adapting a Lending Business for the New Normal
The impact of COVID-19 on the Nigerian economy has greatly reduced the consumer buying power. Lenders now need to take a more granular and contextual approach to credit risk assessment and management.
Read More ⟶How Data Analytics can scale risk management for increased lending profitability
Data analytics and categorization technologies offer opportunities for lenders to effectively monitor and minimize exposure to credit risk. Lenders are now looking at more advanced and innovative approaches to manage risk.
Read More ⟶Customer Transaction Categorisation: 9 Value-Adding Use Cases for Financial Services Providers
Data is the new oil, yes. But how does that work? Financial Services Providers (FSPs) possess large amounts of customer account information (customer transactions) which have the standard characteristics of big data; high in volume,
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