Connect with us

Feature/OPED

How African Tech Start-ups Can Leverage Predictive Analytics for Efficient Service Delivery

Published

on

Predictive Analytics

By Otori Emmanuel

Many organizations are seeking ways to offer their products and services to customers in an efficient way in order to save time, ease the processing of the orders and provide the highest quality of delivery at the expected time.

One major opportunity that most start-ups are not taking advantage of is the availability of data in the public domain as well as the internal data they are gathering to make business intelligent decisions.

Organizations are drowning in an overwhelming amount of data and know little or nothing about gaining insights from the data and turning them into actionable goals and objectives.

The purpose of data is to act with precision and less assumption which makes it possible for a business to thrive by reducing the probability of making errors to the barest minimum.

How to Gain Actionable Insights from Data

Data gathering

The gathering of data is the most rigorous step as without data, the ability to make decisions is hampered. Assumptions would thrive and there would be many gaps in the margin of errors. Before collecting data, the scope of the project in terms of questions to be asked in the survey, the duration of the project and field enumerators to be used as well as a medium for gathering the data should be known. These tools are for gathering data Surveymonkey, Google forms, Microsoft forms, Hubspot and Google analytics.

Data Cleansing

Data cleansing or wrangling is the art of removing unwanted items not needed in working with the data collected such as symbols, extra spacing, grammatical errors etc.

Data Analysis

To analyze any form of data that has been collected, these tools are the most comprehensive tools in the marketplace, they include Microsoft Excel, SPSS, STATA, Python, R programming, MATLAB, E-views.

Data Visualization

Data visualization is the art of representing data in the form of charts in order for comprehension by stakeholders. Examples of tools for data visualization are Power BI, Tableau etc

Business Intelligence

The action taken having seen the feedback hidden in the data collected is called business intelligence (BI). This is the most important aspect in order to act with precision.

What is Predictive Analytics?

Predictive Analytics is a form of using records from past data collected over a period of time to determine what the future holds in the form of forecasts. Predictive Analytics is a branch of data analysis that helps to make decisions in the business world.

Tools for Predictive Analytics

There are free and paid tools for predictive analytics and they are numerous in the form of software applications. They can be utilized by anyone who has competence in gathering data from customers through surveys or from a database and knowledge of which tool is applicable to best analyze certain data.

Non-coding tools

Microsoft Excel

SPSS

STATA

Coding tools

Python

R Programming

Application of Predictive Analytics

Stock Control

Staff Utility

Price fixing

Managing of Peak Times

Determining call rates

The future of business will be driven by African start-ups that can use the data gathered to study the behavioural tendencies of customers and how to serve their needs with a greater level of efficiency.

Emmanuel Otori has over 9 years of experience working with 100 start-ups and SMEs across Nigeria. He has worked on the Growth and Employment (GEM) Project of the World Bank, consulted for businesses at the Abuja Enterprise Agency, Novustack, Splitspot and NITDA. He is the Chief Executive Officer of Abuja Data School

Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Feature/OPED

What Does Nigeria’s $51bn Reserves Milestone Mean if Most New Foreign Money Can Leave Quickly?

Published

on

Foreign-reserves-decline-to-35.92bn-as-naira-gains-N1.50k.jpg

Nigeria’s foreign reserves have climbed to about $51 billion, a decade-plus high, according to the Central Bank of Nigeria (CBN). EBC Financial Group (EBC) notes that this reflects stronger investor confidence, but the second half may show whether it holds, as the build rests on three cyclical drivers: oil earnings, short-term foreign money and a narrowing official-to-street naira gap.

Reserves rose from about $32 billion in April 2024, during a dollar shortage, to about $51 billion now, near the CBN’s target. Much came from two cyclical sources, strong oil earnings and money chasing high-yielding naira assets, so EBC expects the pace to slow or reverse. Fitch Ratings, a major international credit rating agency, expects a marginal decline to about $47 billion by the end of 2026, citing higher spending and external pressures.

David Precious, Senior Market Analyst at EBC Financial Group, said, “Nigeria’s reserve build is real but may not be durable yet, because nearly all of the new money is the kind that can leave quickly. Of the $10.37 billion that came in over the first quarter, the overwhelming majority was short-term portfolio funds rather than long-term investment, so a shift in oil prices, global interest rates or confidence in the naira might pull a large part of it straight back out.”

Most New Money Can Still Leave Quickly

The composition of the foreign inflows explains the caution over how long the build can last. The country attracted $10.37 billion in foreign investment in the first quarter of 2026, up 83.83 per cent year-on-year, according to the National Bureau of Statistics (NBS). Of that, $9.86 billion or 95.09 per cent, was portfolio money, largely short-term naira debt such as Treasury bills that investors can sell at the next auction, while foreign direct investment, the long-term kind that builds factories and jobs, was $135.08 million, or 1.30 per cent. Put simply, of each dollar coming in, about 95 cents can leave quickly, and barely one cent stays.

That money supports reserves while it stays. Dollars brought in to buy naira assets add to market supply, letting the CBN hold more reserves and steady the naira. It leaves when conditions change. Nigeria earns most of its export dollars from oil and gas, so lower oil prices mean fewer dollars, and as a member of the Organisation of the Petroleum Exporting Countries (OPEC), it cannot simply produce more, output capped by quota and reduced by theft and ageing fields. Higher global interest rates draw money toward safer returns abroad, and a weakening naira prompts investors to sell early. When oil fell in 2016 and 2020, foreign investors withdrew and could not convert naira to dollars as supply dried up, leaving the CBN to clear more than $7 billion in trapped obligations into 2024.

The Oil Boost is No Longer Certain

Oil looked like a dependable source of the dollars behind the reserves only months ago. Earlier in 2026, concern over disruption around the Strait of Hormuz lifted crude prices, and stronger receipts flowed in, with crude oil export earnings of $8.11 billion in the first quarter in the CBN’s balance-of-payments data. That support is now easing. The tension has subsided, and Brent traded near $72 on June 29, down about 24 per cent over the month, back to pre-conflict levels. With the price boost gone and output constrained, reserves are more exposed, leaning on non-oil earnings and investor patience rather than oil.

The Naira Still Trades at Two Prices

The naira has traded at two prices, an official rate and a higher parallel-market rate, and closing that gap into one trusted price is what many investors might watch most. Before committing funds, they may want assurance they can convert naira to dollars at a fair rate when they exit, and a wide gap revives the fear of being trapped that lingers from earlier shortages. The gap has narrowed to roughly N20 to N30, with the CBN’s official rate near N1,380 per dollar on June 26 against parallel-market quotes around N1,400. The International Monetary Fund (IMF) 2026 Article IV review urged Nigeria to depend less on this fast-moving portfolio money and to keep phasing out its multiple exchange-rate practices. The CBN’s Foreign Exchange Manual, in force from 1 June, is intended to make the market clearer, though such rules build confidence only once investors can freely trade dollars at the posted rate.

What could Make the Build Durable

A few signs that may show the build turning durable include a smaller gap between the official and street naira rates, more long-term foreign investment, and steadier oil earnings. A gap that stays small, now roughly N20 to N30, may mean investors trust the official rate and no longer need the street market. A clear rise in foreign direct investment, only $135 million last quarter against $9.86 billion of short-term money, might mean lasting capital is replacing funds that can leave at the next auction. Oil earnings that hold up, rather than sliding from the low $70s, should help keep reserves steady, since oil and gas bring in most of Nigeria’s export dollars.

“Reserves built on money chasing high yields can fall as fast as they rose, as they did after the last two oil shocks, when investors left, and the CBN spent years clearing a foreign-exchange backlog,” Precious added. “What holds through a downturn is slower money, direct investment, steady oil and non-oil export earnings and one credible naira rate, and that is the shift Nigeria has yet to make.”

Continue Reading

Feature/OPED

Rethinking How Nigeria Supports SME Growth

Published

on

Stanbic IBTC Logo

By Olajumoke Bello

Across Nigeria, small and medium enterprises remain the backbone of economic activity. They drive trade, create jobs, and sustain millions of livelihoods. Yet, despite their importance, many SMEs continue to operate below their full potential due to persistent structural challenges.

Access to finance remains one of the most cited constraints. However, the issue today goes beyond the availability of capital. Many businesses struggle with financial readiness, weak documentation, and limited understanding of what lenders require. This often leads to missed opportunities, even when funding options exist.

At the same time, SMEs face gaps in market access and visibility. Business owners operate in highly localised environments, with limited exposure to broader networks that can unlock partnerships, new markets, and growth opportunities. This isolation can constrain scalability and reduce long-term competitiveness.

Equally important is the capability gap. Many entrepreneurs grow through resilience and experience but lack structured knowledge on critical areas such as financial management, export readiness, and digital adoption. Without this, even well-capitalised businesses can struggle to sustain growth.

These challenges point to a clear need for a more practical and integrated approach to SME support. It is no longer sufficient to offer standalone solutions. SMEs require ecosystems that combine knowledge, access, and direct engagement in ways that reflect how they actually operate.

A key shift is the move from centralised interventions to localised engagement. SMEs are deeply influenced by their immediate environments, whether markets, industrial clusters, or trade corridors. Solutions must therefore be brought closer to where these businesses function, allowing for more relevant support and stronger relationships.

Another important shift is from awareness to action. Business owners do not only need information; they need insights that they can apply immediately. This includes understanding how to structure their finances, how to access trade opportunities, and how to connect with the right partners to scale their operations.

There is also a growing need for continuity. Many SME-focused initiatives deliver strong initial impact but lack follow-through. For support to be effective, it must extend beyond one-off engagements into sustained relationships, with clear pathways for onboarding, advisory, and growth.

For financial institutions, this presents both responsibility and an opportunity. Supporting SMEs now requires moving beyond transactional banking to deeper partnership models. It requires understanding businesses at a granular level and co-creating solutions that evolve with their needs.

At Stanbic IBTC, this perspective continues to shape our approach to SME development. Our focus is on delivering practical support that translates into real business outcomes, helping enterprises grow, compete, and contribute more meaningfully to the economy.

As part of this commitment, we are extending our SME engagement to the regions through the Nigeria Business Summit Regional Tour. The tour will take structured, on-ground activations into key commercial hubs, where SMEs can access funding guidance, trade insights, advisory support, and direct engagement with financial experts.

The regional tour will take place across five strategic locations, bringing these solutions closer to business owners in Aba, Onitsha, Ibadan and Kano.

This approach reflects an important principle. When support moves closer to businesses and when solutions are delivered in ways that are practical and continuous, SMEs are better positioned to grow sustainably. In turn, this strengthens not only individual enterprises but the broader economy.

Olajumoke Bello is the Head of Enterprise Banking at Stanbic IBTC Bank

Continue Reading

Feature/OPED

How Data Deconstructs the Myth of the ‘High-Risk’ Nigerian Borrower

Published

on

Winston Osuchukwu Mathesis Analytics

By Winston Osuchukwu

The average Nigerian borrower is widely considered high-risk – a claim repeated in credit committees, priced into retail loans, and largely treated as settled fact. Every credit market accepts that an individual loan may not be repaid; this is ordinary, priced risk. The high-risk claim, however, is applied to whole segments – the informal trader, the gig economy earner whose income is steady but split across several accounts, the remote worker paid by an overseas client into a fintech FX wallet. What the assessment establishes is not whether they are likely to repay, but how they fit into an arbitrary segment. Having spent years building decisioning systems for this market, my thesis is a specific one: “high-risk” does not mean “no credit” – it simply requires that the lender embrace alternative datasets to price the risk appropriately.

This is not a criticism of the institutions that built their frameworks around collateral and documentation; those were rational responses to the tools available at the time. When data is scarce, prudence means defaulting to the status quo. The limitation is not that this approach is wrong, but that it leaves a blind spot – excluding fundamentally sound borrowers whose economic lives simply are not captured on the bank’s ledger. A market trader who has moved consistent, growing volumes of cash through mobile money for three years is not, in any meaningful sense, unknowable. Their financial behaviour is observable and patterned; it simply occurs outside the traditional banking system, rendering it invisible to conventional underwriting.

This is the gap technology is now positioned to close – not by replacing institutional judgment, but by augmenting it. When AI-driven analysis is applied rigorously to the financial behaviour these borrowers generate, a far more complete picture of their repayment ability emerges – and a meaningful share presents a risk profile that compares favourably with segments the traditional system has long considered safe. The “high-risk” label, applied broadly to an entire category of borrower, was never a risk pricing tool so much as the limit of what the available tools could see.

For banks, this is the opportunity to extend capital with confidence beyond the borrowers who fit their stringent criteria. Nigerian banks are highly liquid; the constraint on credit growth has rarely been capital, but the ability to assess and price the borrowers who sit outside the traditional file. Close that gap, and the whole ecosystem strengthens: banks grow their loan books into segments they have long wanted to serve, and the real economy gets the capital it needs to expand.

This is precisely what we focus on at Mathesis Analytics: building AI-powered credit decisioning that gives lenders a fuller, more defensible picture of the individuals long excluded as high-risk when they were simply misjudged. The Nigerian credit gap has never been a non-lendable population problem, but one of incomplete visibility. By unifying varied data sources and partnering with the institutions that hold the capital and scale to move the market, we translate out-of-ecosystem behaviour into reliable, bank-grade risk scores. Closing this gap is one of the clearest, highest-leverage opportunities in Nigerian financial services today.

Winston Osuchukwu is the founder & CEO of Mathesis Analytics

Continue Reading