Broadcasting
The Power of Data in Product Management: Harnessing Predictive Modelling and Insights

By Akintunde Opawole – Product Management Expert.
Data is an essential component of product management in the digital age. Product managers must understand the role of data in product development and management due to the increasing availability of data and the growing emphasis on data-driven decision-making. In this article, we will examine the role of data in product management, with an emphasis on the application of data to predictive modelling and insights.
Data’s Role in Product Management
Data is indispensable to product managers in multiple ways. First, data assist product managers in comprehending their customers’ wants and desires. Product managers can gain insights into customer behaviour, preferences, and pain points by analyzing customer data, which can inform product development and marketing strategies. Product managers can also use data to identify market trends, competitive threats, and growth opportunities.
Data can also assist product managers in measuring the success of their products. By monitoring key performance indicators (KPIs) like revenue, user engagement, and retention, product managers can determine if their products are meeting business objectives and adjust their strategies accordingly.
Data can also assist product managers in making informed decisions. Product managers can make decisions that are more likely to result in favourable outcomes by analyzing data and generating insights. This is crucial in today’s fast-paced business environment, where decisions must be made quickly and with limited data.
Utilization of Data in Predictive Modeling
Product managers can utilize predictive modelling as a potent instrument for making data-driven decisions. Using statistical algorithms and machine learning techniques to analyze data and predict future events is predictive modelling. Predictive modelling can be utilized by product managers to forecast future sales, identify emerging trends, and predict customer behaviour.
Predicting customer churn is one application of predictive modelling within product management. Churn is a significant issue for many companies, especially those with subscription-based business models. Product managers can identify factors associated with churns, such as low usage or poor customer satisfaction, by analyzing customer data. Using predictive modelling, product managers can determine which customers are most likely to churn and take proactive measures to retain them.
Predicting product demand is a second example of using predictive modelling. By analyzing historical sales data, product managers can recognize demand patterns and trends. Product managers can then forecast future demand and adjust production and inventory levels accordingly using predictive modelling. This can assist businesses in avoiding stockouts and overstocking, resulting in cost savings and enhanced customer satisfaction.
Data-Driven Insights
In addition to predictive modelling, data can also be used to generate product management decisions-informing insights. Insights are the result of data analysis that identifies patterns, trends, and relationships that are not immediately apparent. Insights can assist product managers in comprehending customer behaviour, market trends, and competitive threats, thereby facilitating more informed decision-making.
Analyzing customer feedback is one example of using data for insights. Product managers can identify common themes and trends in customer feedback, such as frequently requested product features or customer pain points that need to be addressed, by analyzing customer feedback data. Product managers can use these insights to make informed decisions regarding product development and prioritization.
Analyzing website and app usage data is another example of utilizing data for insight. Product managers can gain insights into customer behaviour and preferences by analyzing how customers interact with websites and apps. This can inform decisions regarding product development, such as which features to prioritize or how to enhance the user experience.
Data Utilization Challenges in Product Management
While data is a potent resource for product managers, there are several obstacles associated with its effective use. One difficulty is data quality. Data quality refers to the precision, exhaustiveness, and uniformity of data. Inaccurate, insufficient, or inconsistent data can lead to erroneous conclusions and choices.
Data privacy and security is a further obstacle. In light of the growing emphasis on data privacy and security, product managers must use data in a responsible and ethical manner. This includes complying with regulations such as the General Data Protection Regulation (GDPR), and the Nigeria Data Protection Regulation (NDPR), protecting customer data from unauthorized access and use.
The final obstacle is the analysis and interpretation of data. The increasing volume and complexity of data necessitate that product managers have the skills and tools to effectively analyze and interpret data. This includes data visualization, statistical analysis, and machine learning expertise.
Product managers must fully understand the role of data in product development and management in today’s data-driven business environment. Product managers can make better-informed decisions that are more likely to result in favourable outcomes by using data for predictive modelling and insights.
However, as earlier stated, there are obstacles associated with the effective use of data, including data quality, privacy and security, data analysis and interpretation. Product managers who can overcome these obstacles and utilize data effectively in their decision-making processes will be better positioned for success in today’s competitive market.
Akintunde Opawole is an exceptional data product management expert that has built an impressive career with over 10 years in the technology industry. As a certified Product Manager and an experienced Product Owner, he is noted for leading, managing and collaborating with high-performing teams of developers, scrum masters and business analysts to deliver highly cutting-edge technologies/products. His team is currently developing the biggest Data Analytics product in West Africa. He is currently building an Omnichannel – AI solution for the retail sector in Europe.
Broadcasting
SERAP, Editors Sue Niger Governor over Badeggi FM Shutdown Threat

Socio-Economic Rights and Accountability Project (SERAP) and the Nigerian Guild of Editors (NGE) have filed a lawsuit against Umar Bago, Niger State Governor, and the National Broadcasting Commission (NBC) over what they described as “the ongoing intimidation” of Badeggi FM Radio, Minna, and the threat to shut down the station.
This was contained in a statement on Sunday by Kolawole Oluwadare, deputy director, SERAP, accusing NBC of failing to stand in defence of the local station.
PUNCH Online had reported that Bago ordered the closure and the revocation of the licence of Badeggi Radio 90.1 FM in Minna over alleged public incitement.
However, in suit number FHC/L/CS/1587/2025, filed last Friday at the Federal High Court, Lagos, SERAP and NGE are seeking to determine “whether by Section 22 of the Nigerian Constitution 1999 (as amended) and section 2(1)(t) of the NBC Act, the NBC has the legal duty to protect Badeggi FM from the ongoing intimidation from the governor.”
They are also seeking “an order of perpetual injunction restraining the Niger state governor and NBC from further harassing, intimidating and/or threatening to shut down Badeggi FM radio, revoke its licence and profile the station’s owner.”
The groups argued, “The ongoing intimidation and threat by Mr Bago to strip Badeggi FM station of its licence, further threat to demolish the station’s premises and profile its owner is unlawful and a violation of the rights to freedom of expression, access to information, and media freedom.”
They described allegations of inciting violence against the station and its owner as “vague, unfounded and unsubstantiated and apparently made to silence the radio station.”
The suit, filed on behalf of SERAP and NGE by lawyers Kolawole Oluwadare, Oluwakemi Agunbiade, and Andrew Nwankwo, read in part, “The media plays an essential role as a vehicle or instrument for the exercise of freedom of expression and information – in its individual and collective aspects – in a democratic society.
“Intimidating, harassing and silencing critical or dissenting voices under the guise of vague and unsubstantiated national security concerns is a fundamental breach of the Nigerian Constitution and Nigeria’s international human rights obligations.
“The ongoing intimidation and harassment of Badeggi FM and its owner is capable of discouraging participation of the press in debates over matters of legitimate public concern ahead of the 2027 general elections.”
SERAP and NGE are therefore asking the court for the following reliefs, “A declaration that by the combined provisions of Section 22 Nigerian Constitution and section 2(1)(t) of the National Broadcasting Act, the NBC is obligated by law to protect Badeggi FM station and other broadcasting outlets in Nigeria from undue interference from unauthorised persons or entity.
“A declaration that the failure and/or neglect of the NBC to protect and defend the independence of the radio station against arbitrary executive interference constitutes a breach of its statutory duty to ensure fair, independent, and lawful broadcasting practices in Nigeria.
“A declaration that the ongoing intimidation and threat issued by Mr Bago to strip Badeggi FM station of its operational licence and further threat to demolish the station’s premises is unlawful and a violation of the rights to freedom of expression, access to information, and media freedom.
“A declaration that the threat issued by the Bago to strip Badeggi FM radio station of its operational licence encroaches upon the statutory powers of the NBC as provided for under section 2 of the National Broadcasting Commission Act.
“An order of perpetual injunction restraining the governor and NBC, its agents and privies from harassing, intimidating and/or threatening to revoke the operating licence of Badeggi FM station or any other broadcasting outlet in Niger State.”
It was said that no date has been fixed for the hearing of the suit.
Broadcasting
Amaarae Crowned Spotify’s EQUAL Africa Artist for August

Spotify has named Ghanaian trailblazer Amaarae as the EQUAL Africa artist for August, spotlighting her as one of the continent’s artists who continues to push creative and cultural boundaries with every beat, lyric, and look.
Amaarae, born Ama Serwah Genfi, raised between Ghana and the U.S.A often pulls her musical inspiration from the cultures and genres she grew up with. She has consistently pushed the boundaries of sound and identity, with her unique fusion of alternative, pop, R&B, and Afrobeats cementing her place as a singular voice in modern music.
Her musical journey took a turn in a computer lab in Ghana in 2009, where she taught herself to make beats on a cracked version of FL Studio. That moment sparked the fire for a career that would go on to produce game-changing projects like “The Angel You Don’t Know” and global hits such as “SAD GIRLZ LUV MONEY”.
Amaarae’s inclusion on Spotify’s Global Impact List for the first half of the year, highlighting the most-exported Ghanaian songs, was no surprise. She has become a symbol of how African music is travelling further, faster, and louder than ever before.
With her latest album BLACK STAR she returns to her Ghanaian roots with bold energy, crafting what she calls a “rallying cry for youth culture around the world. This album is bringing the alternative community to the forefront and being fearless about that.”
“I navigate the music world with balance, willpower, and strength. The challenges are real, don’t get me wrong, but I put my blinders on, lock into tunnel vision, and get to work. And when I come across another woman on the journey, especially a Black woman, I do my best to share knowledge, create opportunities, and lighten the load where I can,” says Amaarae.
As part of Spotify’s EQUAL programme, which amplifies women’s voices worldwide, Amaarae joins a growing list of African women shaping the future through sound and self-expression.
“Amaarae embodies the spirit of boundary-pushing creativity that EQUAL stands for,” says Phiona Okumu, Spotify’s Head of Music for Sub-Saharan Africa. “Her artistry is bold, distinct, and unapologetically authentic – qualities that continue to inspire a new generation of artists across the continent and beyond.”
We sat down with Amaarae to learn more about her and her music:
1. What is that one surprising thing your fans might not know about you?
Amaarae: I’m one step away from being legally blind! My vision is a -7 and I have astigmatism!!
2. When did you realise that making music was in your destiny and what is your WHY for pursuing this craft?
Amaarae: When I moved back home to Ghana in 2009, I was learning how to make beats and record myself at the back of the computer lab. Someone had installed a cracked version of FL.
3. Which African songs or artists did you grow up listening to?
Amaarae: The list goes on and on. Daddy LUMBA (RIP), Terri Bonchaka, MzBel, Abrewa Nana, Obrafour’s legendary album Pae Mu Ka, Sarkodie, Kwadwo Antwi. I could go all day.
4. To someone who has never heard your music, how would you describe the sound, tone, and style?
Amaarae: Let’s encourage listeners to be curious and adventurous! If you’re reading this and you’ve never heard my music, I dare you to go listen! And tell me how YOU would describe my sound.
5. Any advice for someone dreading following their dreams?
Amaarae: The regret does more damage than the effort.
Broadcasting
Humans + Machines: Building the workforce of the future

By Ursula Fear, Senior Talent Programme Manager | Salesforce
Is AI coming for your job, or is it already working beside you? As its use becomes more routine, artificial intelligence is looking less like a threat and more like a teammate: answering queries, making decisions, chasing leads, processing invoices, and drafting content around the clock.

Ursula Fear, Senior Talent Program Manager, Salesforce
This new class of digital labour is changing how teams function, how targets are met, and how people spend their time at work. From now on, almost every job, team, and company will involve AI agents – systems that can analyse vast datasets, apply human-like reasoning, and act independently. Their presence is set to influence workflows, increase productivity, support innovation, and redefine roles across the organisation.
Rather than replacing people, AI is tilting the workload. Salesforce research shows that 23% of HR teams plan to redeploy employees into roles that make better use of their uniquely human strengths. At the same time, agentic AI adoption is projected to surge by 327% over the next two years (from roughly 15% adoption today to about 64% by 2027).
This shift is tied to anticipated productivity gains of 30% per employee and labour cost reductions of 19%, equating to about $11,000 in savings per employee annually, based on Organisation for Economic Co-operation and Development (OECD) wage averages. Rather than replacing people, organisations are preparing to reskill and redeploy workers, enabling humans to focus on higher-value roles that emphasise creativity, strategy, and interpersonal skills.
A recent Gartner poll further found that 95% of customer service teams intend to retain human agents to help define and guide the role of AI, reinforcing the value of a “digital first, not digital only” approach. Gartner further says that by 2027, half of the organisations that planned to significantly reduce their customer service workforce will abandon those plans, highlighting the limits of going fully “agentless”.
For African countries, the rise of digital labour presents an opportunity to build modern, inclusive workforces without being bound by outdated development models. But realising this potential depends on sustained investment in skills training, digital infrastructure, and equitable access to AI tools.
Train for tomorrow
Africa has the world’s youngest population. It’s bursting with entrepreneurial energy. But many young people still don’t have access to the tools and skills that will define the next era of work. If the continent wants to lead in the digital labour revolution, it should act now by investing in digital infrastructure, prioritising skills development, and forging partnerships that make future-focused training widely accessible.
Yes, the skills gap is real and broadband internet is still a luxury in many communities. But on the upside, AI training doesn’t require a university degree. Much of it is free, online, and accessible to anyone with a smartphone and a curious mind.
That opens the door to governments, educators, businesses, and civil society to step up to update school curricula, expand digital infrastructure, and support public-private training partnerships. All of this matters: not just for economic growth, but for social inclusion, too.
If these foundations are put in place, African countries could not only meet the needs of their growing population but also leapfrog outdated development models.
From entry-level to in-demand
When AI begins to handle the simpler tasks, it’s easy to worry about what’s left for those starting out. Entry-level jobs aren’t disappearing though. Instead of doing routine work, newcomers will now need to build skills in oversight, collaboration, and using AI tools effectively from day one. The ladder still exists; it just starts in a different place.
This will require a different kind of training – not just technical know-how, but in soft skills like empathy, adaptability, ethical judgement, and communication, which are all human traits that help teams thrive.
AI’s presence in the workplace may be concerning, with reports of job cuts due to its adoption (here, here, here, and here), but all is not as it seems.
Research suggests a more balanced perspective: One of the most comprehensive studies, from the National Bureau of Economic Research, tracked 25,000 workers across 7,000 Danish firms using AI chatbots. It found no significant changes to jobs, wages, or working hours. Productivity rose by around 3%, without leading to layoffs.
The St. Louis Fed found something similar. Based on large-scale surveys in the US, researchers reported one in four workers now use generative AI weekly, saving on average just over two hours a week. Spread across the entire labour market, that translated into a 1.1% productivity gain. Crucially, there was no sign this efficiency came at the cost of jobs.
Adding to this, a 2024 study by Mäkelä and Stephany analysed over 12 million US job listings and revealed that demand is surging for “AI-complementary” skills such as resilience, teamwork, digital literacy, and analytical thinking. These are the very human capabilities that help people work effectively with AI. The study found AI-focused roles are nearly twice as likely to list these skills, and they command wage premiums of 5–10%. Even more telling: the positive impact of these complementary skills outweighs the substitution effects of AI by up to 70%.
These findings all suggest that AI isn’t replacing workers; it’s helping them work smarter and more efficiently. To thrive in this blended future, we need to prepare today, by building the right skills, expanding access, and embracing AI not as a threat, but as a partner in progress.
Because the future of work won’t be entirely human, nor entirely automated – it will be a blend of both.
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