Every market has friction. It doesn't matter whether you're looking at finance, healthcare, education, logistics, retail, or entertainment. Somewhere in the system, something is making it harder, slower, more expensive, or more frustrating for people to get what they want.
Customers abandon purchases. Payments fail. Approvals take too long. People wait unnecessarily. Businesses lose money through inefficient processes, while teams spend hours doing work that should have been automated.
These are not just operational problems. They are signals.
For businesses willing to pay attention, friction can reveal some of the biggest opportunities for innovation and growth.
The companies that create lasting value are often not the ones with the most exciting ideas. They are the ones that identify important problems, understand why those problems exist, build better solutions, and scale them effectively.
That is where data becomes particularly powerful.
What Is Market Friction?
Market friction is anything that makes it harder for people or businesses to achieve a desired outcome.
It can exist at different levels. Sometimes it is a problem affecting an entire market, such as poor infrastructure, regulatory complexity, skills shortages, or limited access to financial services. Other times, it is much closer to the customer, such as complicated onboarding, unclear pricing, long waiting times, difficult payment processes, or poor customer support.
There is also friction inside organisations. Manual processes, fragmented systems, slow approvals, duplicate data entry, poor communication, and repetitive administrative work can quietly cost businesses enormous amounts of time and money.
At its simplest, friction is the gap between what people expect and what the system currently delivers.
And wherever that gap exists, there may be an opportunity.
Why Friction Creates Business Opportunities
Consider a simple example.
Imagine a customer wants to buy something online. They find the product, add it to their cart, enter their details, and then reach the payment page. The payment process is confusing, the transaction fails, or the customer isn't sure whether the payment went through.
The business might look at its sales numbers and conclude, "We need more customers."
But what if the business already has enough traffic?
What if the real problem is that existing customers are not completing their purchases?
That distinction matters.
Without understanding the system, businesses can spend money trying to solve the wrong problem. With the right data, they can identify where the problem actually occurs and begin investigating why.
This is one of the reasons I find data so valuable. It can move a business from assumptions to evidence.
Look at the Friction Behind Successful Businesses
Some of the most interesting businesses have grown by addressing problems that people had simply learned to live with.
M-PESA and the Friction of Financial Access
Before mobile money became widespread in Kenya, sending money could be difficult, expensive, and inconvenient, particularly for people who were poorly served by traditional banking infrastructure.
M-PESA approached the problem differently by creating a mobile money system supported by a network of local agents. This reduced several forms of friction at once: physical access, transaction convenience, cash withdrawal, and the trust barrier associated with financial services.
The important lesson is that the technology itself was only part of the solution.
Distribution, trust, accessibility, liquidity, regulation, and the surrounding ecosystem were equally important.
Solving friction often requires solving the system around the problem, not just building a piece of technology.
Amazon and the Friction of Online Shopping
E-commerce created a new way to shop, but it also introduced a new set of concerns.
Would the product arrive? When would it arrive? Could I track it? What happens if I need to return it?
These questions create friction because customers are being asked to trust a system they cannot physically see.
Amazon invested heavily in fulfilment, logistics, inventory management, tracking, delivery, and returns. Data plays an important role in making these systems work, from understanding demand and inventory levels to improving fulfilment and delivery decisions.
The customer may see a simple shopping interface. Behind that interface is a complex operational system.
The lesson is important: sometimes the biggest competitive advantage is not the product customers see. It is the infrastructure working behind it.
Paystack and the Friction of Digital Payments
Businesses in Nigeria and other African markets have faced significant challenges with digital payments. Payment integration could be complicated, documentation could be difficult to work with, and businesses had to deal with questions around reliability and customer experience.
Paystack focused heavily on making online payments easier for businesses and developers to integrate.
That meant addressing a form of friction that was not always visible to the final customer.
And this is an important point:
Not all market friction is customer-facing.
Sometimes the biggest opportunity exists inside the infrastructure that businesses depend on.
Four Things Businesses Should Learn From Market Friction
1. Look Beyond the Obvious Problem
The problem customers describe is not always the root problem.
"Sales are declining" is not a diagnosis. It is a symptom.
You need to investigate what is causing the decline. Is it pricing? Product availability? Customer experience? Competition? Payment failures? Delivery? Customer retention? Poor conversion?
Data can help you move from symptoms to causes.
2. Measure the Friction
You cannot improve what you cannot properly see.
If customers are abandoning a process, measure where they leave. If deliveries are late, analyse when and where delays occur. If customers are churning, identify which customers are leaving and what they have in common.
If employees spend too much time on administrative work, measure how much time the process actually consumes.
The goal is not to collect data for its own sake. The goal is to make the problem visible.
3. Solve the Right Problem
Once the friction is visible, the next question is: What is the best way to reduce it?
Sometimes the answer is technology. Sometimes it is process redesign. Sometimes it is better communication, a pricing change, better training, or a combination of several things.
Data helps you understand the problem. It does not automatically tell you what solution to build.
Good businesses combine evidence with sound judgment.
4. Scale What Works
Solving a problem once is not the same as building a scalable business.
The real opportunity comes when you can solve the problem consistently for many customers without your costs increasing at the same rate.
That requires systems.
Processes need to be documented. Technology needs to support the workflow. People need to understand their roles. Data needs to flow reliably. Performance needs to be measured, and the solution needs to improve over time.
This is where many businesses struggle. They find a good solution but fail to build the system required to scale it.
Where Data Analytics Comes In
Data analytics can help businesses identify friction across almost every part of their operations.
In retail, analytics can reveal where customers abandon purchases, which products underperform, which locations generate the most revenue, when demand peaks, and which customer segments are most valuable.
In healthcare, data can help identify where patients experience delays, which processes create bottlenecks, how resources are being used, and where operational performance can improve.
In logistics, analytics can reveal delivery bottlenecks, high-cost routes, delays by location, vehicle utilisation, and demand patterns.
In financial services, analytics can help organisations understand customer behaviour, transaction patterns, acquisition, churn, revenue performance, and risk indicators.
In each case, the purpose is the same:
Understand what is happening, identify where friction exists, and use evidence to make better decisions.
Data Alone Is Not Enough
This distinction matters.
A company can have dashboards everywhere and still be poorly run. It can have thousands of rows of data and still make decisions based on assumptions. It can invest heavily in analytics and still fail to solve its customers' problems.
Data is valuable because of what it enables people to understand and do.
The real process is:
Data → Understanding → Decision → Action → Measurement → Improvement
If the process stops at the dashboard, very little changes.
The goal of analytics should therefore not be to produce more reports. It should be to improve decisions and outcomes.
A beautiful dashboard that nobody uses is not a successful analytics project.
A simple analysis that helps a business reduce costs, retain customers, improve operations, or make a better decision can be far more valuable.
The Bigger Opportunity for African Businesses
Africa has no shortage of market friction.
There are challenges across payments, logistics, healthcare, education, agriculture, energy, manufacturing, financial services, and many other sectors.
But friction should not only be viewed as a problem.
It can also be viewed as an opportunity map.
Where people consistently struggle, there may be a business opportunity.
Where businesses repeatedly lose time, money, or customers, there may be an opportunity to redesign the process.
Where information is fragmented, there may be an opportunity to build better systems.
Where organisations lack the skills to use their data, there is an opportunity to build capability.
This is one reason I believe Africa's next generation of businesses will increasingly be built around infrastructure, data, technology, and better systems.
We don't necessarily need to import every solution that has worked elsewhere. We need to understand our own markets deeply enough to identify the frictions that matter here and build solutions that work in our context.
What This Means for Wikrena
This thinking sits at the heart of what we are building at Wikrena.
We believe businesses need more than access to technology. They need the capability and systems to use data and technology effectively.
Through Wikrena Consulting, we help businesses understand their data, identify inefficiencies, uncover opportunities, and make better decisions.
Through Wikrena Institute, we develop professionals with practical data and AI capabilities so organisations can access the talent required to build and operate better systems.
And as Wikrena continues to develop technology products, the underlying principle remains the same:
Find important friction. Understand it deeply. Build a better system. Scale the solution.
That is the work.
Not technology for technology's sake.
Not dashboards for the sake of dashboards.
Not automation because automation sounds impressive.
The question should always be:
What problem are we solving, and how much better can we make the system?
Final Thoughts
Every market has friction.
Some friction is obvious. Some is hidden inside processes, systems, and customer behaviour. And some has become so normal that people have stopped questioning it.
That is where some of the biggest opportunities can be found.
The businesses that create lasting value will not simply ask:
"What product should we build?"
They will ask:
"Where are people struggling, why are they struggling, and what can we build to make the experience significantly better?"
Data can help answer the first two questions. Technology can help build the solution. But sustainable value comes from putting everything together: understanding the problem, designing the right solution, building the system, and continuously improving it.
For African businesses in particular, there is enormous opportunity ahead.
We don't need to chase innovation for its own sake. We need to find the problems that matter, understand them deeply, and build solutions that make people's lives and businesses work better.
Find the friction. Understand it. Fix it. Scale it.
That's how businesses create value.

Written by
Chris Awoke
Chris Awoke is the co-founder and CEO of Wikrena Limited, a data education and AI company building the skills and systems African professionals and organisations need to make better decisions. He also runs Brenxa, a decision intelligence practice for founders, investors, and executives.




