Feature/OPED
Why Your Business Needs Unified Data Analytics for Growth and Success
By Kehinde Ogundare
Most business leaders will agree that data analytics is a strategic necessity today. Without access to comprehensive data and effective ways to interpret it, organisational decision-makers may find themselves relying solely on intuition while navigating unfamiliar roads in the dark. Gut-based decisions can occasionally lead to success, however, those wins are often more coincidental than a reflection of true strategic insight.
More than 90% of businesses derive benefits from data analytics strategies
A robust data analytics solution enables businesses to transform raw data into organised, actionable insights across numerous functions. They can span CX—helping personalise interactions based on an analysis of individual preferences and behaviours, growth strategies—allowing teams to identify distinct customer segments basis emerging deal patterns, post-sales support—enabling quick response times by analysing ticket allocation systems and discerning gaps, and so on. It’s no surprise, then, that nearly 92% of organisations reported measurable value from their data and analytics investments in 2023.
Unfortunately, many organisations fail to derive full value from their data analytics strategies. One of the reasons for that is analytics systems not having a full view of what’s happening across the company owing to data silos.
Information silos can affect the quality of data insights
There are numerous reasons why an organisation can end up with fragmented or siloed data, but a key factor is the existence of different tech platforms across various departments. Use of disparate tools for different functions can lead to decentralised management of data. For instance, while the sales team might know how many units of a product a customer has purchased, they may have no visibility into how quickly the customer pays their invoices or how many interactions they’ve had with marketing and communication collateral before making a purchase.
There are other data issues that businesses face too. Among them is poor data quality. This can be caused by manual data collection practices that often yield inaccuracies, inconsistencies, and redundancies. Poor data quality forces businesses to spend a lot of time and resources on cleaning up, which further prolongs the analysis process. The best approach to solve these issues is to digitalise and unify data sources with the right tech platform that interconnects all departments.
The right software matters
Fortunately, with the right software, achieving a unified view of data becomes much simpler. Effective data analytics software will bring disparate data points together and make analysis easier. To do this effectively, the software should provide native integrations with a diverse array of data sources, including local files, feeds, databases, and business applications.
Beyond that kind of integration and unified view, what should organisations look for in business analytics software?
First, it should be accessible to all users—whether they are business users, data analysts, data engineers, or BI specialists—ensuring ease of use and value for everyone. The software should also offer pipeline builders, be compatible with other forms of software, support streaming analytics, deliver real-time insights, and provide unified metrics.
In addition, the software must evolve with a business’ changing data analytics needs. This means supporting features like generative AI analytics, predictive AI, and machine learning capabilities. The ability to trigger actions based on alerts and pipelines, connect to niche business apps, and integrate multiple BI and data analytics tools will further enhance its benefits.
Ultimately, the software should demonstrate clear value by reducing manual effort and streamlining processes, handling large datasets efficiently, and delivering cost and time savings.
The data’s there; now bring it together
Given the clear benefits that good data analytics software offers businesses, embracing it should be a no-brainer. Most organisations already sit on a treasure trove of data; it’s simply not being put to effective use. A unified data analytics software can change that by bringing together disparate data points and providing a consolidated view with actionable insights. Implemented correctly, those insights can supercharge a business’s growth trajectory.
Kehinde Ogundare is the Country Head of Zoho Nigeria
Feature/OPED
Building 234 Solutions: A Response to Everyday Workforce Challenges
By Owoloye Emmanuel
Every business starts with a problem. For us, that problem was hiding in plain sight.
Across organisations, we kept seeing HR professionals, payroll teams, and business leaders spend significant time navigating processes that should be simpler. Employee records sat across multiple systems, payroll processes required manual intervention, and routine workforce tasks often became more complicated than they needed to be.
As businesses grow, workforce operations naturally become more complex. Yet many organisations still rely on disconnected tools and workflows that create unnecessary friction for both employers and employees.
The consequence is more than operational inefficiency. HR teams spend valuable time managing systems instead of supporting people. Business leaders struggle to access timely workforce insights, while employees experience delays in processes that should be seamless.
These weren’t isolated challenges. They were recurring realities across workplaces, regardless of industry or size.
That observation led us to a simple question: what if workforce management could be easier?
What if HR, payroll, and workforce operations could work together within a single, connected experience?
That question became the foundation for 234 Solutions.
We are building 234 Solutions with a clear belief that workplace technology should reduce complexity, not add to it. Our goal is to help organisations spend less time navigating processes and more time focusing on productivity, growth, and people.
As we prepare for launch, our focus remains simple: building practical solutions for real workplace challenges and helping organisations create better experiences for the people who power them every day.
Owoloye Emmanuel is the founder of 234 Solutions
Feature/OPED
The Role of TV in Preserving African Stories and Identity
Scroll through social media today, and you will notice something interesting: everyone is either reacting to a series, quoting a movie line, or debating a character as though they personally know them. Beneath the memes and binge-watch culture, however, lies something deeper. Television remains one of the most powerful tools shaping how Africans see themselves, remember their history, and tell their own stories. In a continent as diverse and expressive as Africa, that matters more than ever.
TV as a Cultural Archive, Not Just Entertainment
Long before streaming algorithms began shaping our viewing habits, television was already preserving African identity. From Nollywood dramas that capture the rhythm of everyday Lagos life to documentaries exploring Maasai traditions and Ghanaian folklore, TV has served as a living archive of the continent’s stories.
It preserves more than entertainment; it preserves language, culture, humour, values, and shared experiences. Unlike fleeting social media content, television allows stories to unfold with depth, exploring the realities of family, tradition, ambition, and modern African life without reducing them to stereotypes. That is the power of TV: preserving not just stories, but perspective.
Why Representation on TV Still Matters
There is a subtle but important truth: if people do not see themselves on screen, they may begin to believe their stories are not worth telling. This is why African TV content is more than entertainment; it is affirmation.
Seeing a character who speaks like you, struggles like you, or celebrates like your community does something powerful. It validates identity and challenges outdated narratives that have historically defined Africa through external lenses.
This is where MultiChoice Group, through platforms such as DStv and GOtv, plays an important role. They do not simply broadcast content; they help distribute cultural memory at scale.
GOtv, DStv, and the Everyday African Viewer
Think about a typical evening in many African homes: the TV is on in the background, someone is laughing at a comedy show, another person is watching a local series, and someone else is catching up on the news. That shared viewing experience remains very real.
Through platforms such as DStv and GOtv, African households are exposed to a blend of local storytelling and global content. More importantly, they have helped amplify African-produced content by bringing Nollywood films, African reality shows, talk shows, and documentaries into mainstream rotation.
It is not just about access. It is about visibility.
A young filmmaker in Lagos today is more likely to believe their story matters because they have seen similar stories broadcast widely. A child in Accra grows up hearing familiar accents and seeing environments that look like their own on screen, not as exceptions, but as the norm.
TV Is Also Shaping Modern African Identity
African identity is not static; it is evolving. Television reflects that evolution in real time.
Today, audiences see:
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Young Africans balancing tradition and modern dating culture
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Stories tackling mental health in African households
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Fashion and music influences spreading through TV series
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Political satire shaping public conversation
Conversations that were once confined to homes are now being explored on screen, giving audiences the language to discuss issues that were previously unspoken.
In many ways, television is doing what oral tradition has always done: passing stories, values, humour, warnings, and history from one generation to the next. The difference is that today’s griots are writers, directors, and broadcasters.
The Future: From Watching to Owning Our Narratives
The next stage of African storytelling is not just about being seen; it is about ownership.
As more African creators produce content and platforms continue to invest in regional storytelling, television becomes more than a mirror. It becomes a tool for shaping how Africa is represented to itself and to the world.
While streaming continues to grow, television, particularly accessible platforms such as GOtv, remains one of the most effective ways to reach everyday audiences across different income levels and regions. After all, storytelling only matters if people can access it.
African stories are not new. They have always existed in families, on streets, in markets, in history books, and through oral traditions. What television has done, and continues to do, is give those stories a stage wide enough for millions to experience them at once.
The next time you watch a local series or documentary on DStv or GOtv, remember that you are not just being entertained. You are participating in the preservation of African identity itself.
Feature/OPED
The Future of AI in Nigerian SMEs: Overcoming Barriers to Implementation
By Kehinde Ogundare
Ask a tech entrepreneur in San Francisco what AI means for their business, and they are likely to talk about competitive advantage, product differentiation, and scale. Ask a small business owner in Kano or Onitsha the same question, and the conversation shifts entirely.
For many Nigerian SMEs, the priority is keeping the lights on, managing costs, and finding sustainable ways to grow in a challenging economic environment. This difference in perspective explains why the global AI conversation, often shaped by assumptions about stable infrastructure, deep capital, and abundant technical talent, frequently fails to address the realities facing Nigerian SMEs.
This matters because Nigerian SMEs are not a peripheral concern. In 2024 alone, MSMEs contributed 46.32% to Nigeria’s GDP, accounting for 96.9% of businesses and 87.9% of employment. These businesses are the backbone of the Nigerian economy, and if AI is going to mean anything for Nigeria’s development, it has to work for them in the daily conditions they actually operate in.
However, research drawing on empirical data from 144 Nigerian SMEs found that inadequate infrastructure, low digital literacy, skills shortages, and regulatory gaps are collectively preventing them from meaningfully engaging with AI. Awareness of AI is high and growing. What is missing is a clear and honest conversation about what adoption actually requires in this specific context. The barriers are real, but none of them are insurmountable. The question is whether the tools, pricing models, and support structures being offered to Nigerian SMEs are designed with those barriers in mind, or whether they have been built for another market entirely.
Subscription models making AI affordable for small businesses
When most small business owners hear “AI,” they imagine expensive software, specialist consultants, and a hefty upfront bill.
That assumption is not entirely wrong, but it describes a particular way of buying technology, not AI itself. The shift that makes AI genuinely accessible at the SME level is the move away from large, one-time capital purchases towards tools that charge a predictable monthly subscription. Businesses can pay for what they use, scale back when necessary, and avoid the debt that a major technology investment can create.
The deeper opportunity here is consolidation. Many SMEs are already spending money across multiple disconnected tools—one for invoicing, another for customer records, another for stock tracking—none of which talk to each other. An integrated platform that handles several of these functions together, with AI built in, can actually cost less than the sum of those separate subscriptions while giving business owners a clearer picture of their operations.
With margins already under pressure, any technology a business adopts needs to visibly show an increase in productivity or bottom line. Subscription-based, integrated platforms, priced transparently and honestly, are the model that best fits this reality.
Infrastructure challenges demand a mobile-first approach
No conversation about technology in Nigeria is complete without confronting the infrastructure problem, and AI is no exception. Nigeria continues to face major infrastructure barriers, including limited broadband access, unreliable power supply, and high data costs, all of which constrain deeper AI adoption. These are structural features of the operating environment that any sensible technology strategy must account for today.
The electricity situation alone is significant. The World Bank estimates that the lack of stable electricity costs Nigeria’s economy approximately $26.2 billion annually, equivalent to about 2% of GDP, forcing many businesses to run on expensive diesel generators. That cost ripples outward.
In practical terms, AI tools built for Nigeria cannot assume a stable broadband connection or a computer that is always powered on. The tools that will actually get used are the ones that work on a smartphone, consume minimal data, and can function offline when connectivity drops, syncing back up when it returns. The mobile phone is already how many Nigerian SME owners run their businesses. AI that meets them there, rather than demanding infrastructure they do not have, is AI that has a genuine future in this market.
The direction is clear: build capability from within, using tools that make that possible. Recent AI performance research reveals that 64% of African workers are already actively using AI at work, signalling massive grassroots readiness and driving forward-thinking organisations across Nigeria, Kenya, and South Africa to aggressively prioritise internal upskilling frameworks to bridge the talent gap.
As the policy groundwork is being laid, the commercial ecosystem is beginning to respond. What remains is a clear-eyed acceptance that AI tools built for this market need to look different from those built for markets with different realities. Low cost, low bandwidth, and usability for non-technical people are not modest ambitions; they are the actual requirements. Build for those realities, and AI has a real future in Nigeria’s SME economy.
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