The Data Mind Rewriting Customer Service in Nigerian Telecoms

By Salami Adeyinka

In an industry where most headlines go to executives and regulators, one of the most quietly influential figures in Nigerian telecommunications is a business analyst who spends his days with raw data and messy customer problems. At MTN Nigeria, Mr. Stanley Oziri has carved out a vital role, using numbers, models, and process changes to answer a fundamental question the sector has long struggled with: who are our customers really, why do they leave, and how do we keep them connected in a way that actually makes sense for their lives?

For years, Nigerian telecoms have boasted big subscriber numbers and bold coverage maps, but beneath those headlines was a softer underbelly. Customers were often treated as a single crowd rather than as distinct groups with distinct needs. People bought SIM cards, used them for a while, and then drifted away without anyone truly understanding why. Entire communities showed up in the statistics as “covered” while barely using the network. That lack of serious analytics around customer segmentation, churn, and market penetration has quietly held back network utilization, ARPU growth, and, ultimately, real digital inclusion.

This is the gap Oziri stepped into. He started with what most people ignored: the sheer volume of information buried in call logs, recharge histories, complaint records, and service quality data. Instead of treating these as routine operational artifacts, he saw them as a way to see the country more clearly. Over time, he built a picture of distinct groups of Nigerians on the network: students burning through data in congested cells, traders in peri-urban areas who care more about call reliability than fancy bundles, low-income rural users whose usage drops sharply when prices move even a little, professionals who will leave the moment the service becomes unpredictable.

Once you see those groups clearly, it becomes evident that a onesizefitsapproach does not work. That is where his work became genuinely consequential. He did not just “analyze” for the sake of analysis; he tied those segments to real decisions. Promotion campaigns stopped being vague national pushes and started being fine-tuned for specific types of users. Network planners could see where heavy users were being squeezed by poor quality. Product managers had evidence that specific segments were confused by tariffs rather than disinterested in the network. Step by step, segmentation stopped being a buzzword and became a practical way to run the business.

Churn, a word you will rarely hear outside boardrooms, has been one of the most damaging forces in the background of Nigerian telecoms. In a prepaid market, people do not make a big announcement when they leave; they recharge less, or quietly move their usage to another SIM in the same phone. By the time the numbers show a drop, the decision is already made. One of the reasons Oziri stands out is that he treated churn not as an accounting afterthought but as a problem to predict and prevent. He tracked those subtle early signals, a steady slide in usage after a series of unresolved complaints, a sudden shift in traffic away from specific locations, a pattern of customers who always drop off after particular types of service issues.

From that, he built models that gave managers something they had never really had before: a way to see, in advance, which customers were at serious risk of walking away and why. That sounds theoretical until you imagine how it plays out. Instead of blasting generic offers across millions of people, the company could reach out to the right few thousand at the right time, fix the specific issue driving their frustration, and keep them on the network. In a market where operators fight for fractions of a percentage point in ARPU and market share, that shift from reactive to proactive churn management is not cosmetic; it changes the economics of the business.

The same is true when you look at “coverage” versus real participation. On paper, Nigeria has looked increasingly well covered by major networks. But Oziri’s work kept exposing a simple truth: a colored patch on a map does not mean people in that area are genuinely part of the digital economy. By overlaying usage data, complaint records, and service quality metrics, he could show where coverage was only theoretical. There were towns where SIMs were sold aggressively but hardly used, corridors with persistent, unfixed faults, and neighborhoods where customers kept calling about the same problem until, quietly, they stopped calling at all.

These insights had an uncomfortable edge, but that was precisely their value. They forced internal conversations to move away from “we are present in this state” to “are people here actually using us regularly, and if not, what are we doing wrong?” When those conversations are backed by complex data rather than opinion, capital and attention start moving to where they are most needed. Over time, that is what real digital inclusion looks like: not just adding pins and colors to a map, but making sure people can afford to stay connected and trust the service enough to build their daily lives around it.

None of this would matter if the insights never left the analyst’s laptop. What makes his role genuinely stand out is that he has been willing and able to push the numbers into the guts of how the company operates. He sat in rooms with technical architects and product teams, turning patterns from the data, recurring complaints, weak segments, and underperforming regions into concrete requirements for system changes, process redesign, and new offerings. He documented “asis” and “tobe” processes, argued for alternative escalation paths, and helped build reporting and dashboard structures that gave executives a live view of what had been invisible.

The result is that, in his hands, analytics stopped being a monthly ritual of reports and became part of how strategy is made. Customer segmentation dictates where to invest. Churn predictions shape how and when to intervene. Penetration analysis guides which communities deserve targeted support or different pricing logic. It is a quiet kind of influence, but an unusually powerful one, because it is rooted in evidence that is hard to ignore.

In a country where poor service has often been dismissed as something people have to endure, this way of working is anything but ordinary. By taking on the long-term problem of weak analytics around customer behavior and market penetration, and by linking his findings directly to how a major operator runs its network and serves its customers, Mr. Stanley Oziri has done more than just “do his job.” He has helped shift a part of Nigeria’s telecom industry toward a more intelligent, accountable, and inclusive model, where the experience of real people on the ground is carefully measured and used to drive concrete change. That kind of contribution does not just make a company better; it raises the bar for the entire sector.