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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
E-commerce Lessons for Scaling Nigeria’s Food Distribution

By Diana Tenebe, Chief Operating Officer, Foodstuff Store
Nigeria stands at the cusp of an agricultural revolution with the ambitious plan to significantly transform its food and agriculture sector through the launch of the $510 million Special Agro-Industrial Processing Zones (SAPZ), financed by the African Development Bank and development partners. Fueled by the integration of cutting-edge technologies aimed at boosting food production and ensuring national food security. However, as yields increase, a formidable hurdle remains: the efficient and scalable distribution of this bounty across the nation’s diverse landscapes, often hampered by infrastructural limitations and logistical complexities.
Dr. Bosun Tijani, the Minister of Communication, Innovation, and Digital Economy, recently called on Nigerian farmers to prepare for digital and technologically advanced farming methods, emphasising their crucial role in boosting food production and security. Building upon this call for technological integration, and to truly unlock the full potential of Nigerian agriculture and ensure increased harvests translate to accessible and affordable food for all, the sector can draw invaluable lessons from the operational prowess of e-commerce giants like Amazon. Their success in navigating complex logistics and reaching vast customer bases offers a compelling blueprint for transforming Nigeria’s food distribution network.
Amazon’s dominance in the e-commerce realm is underpinned by a meticulously crafted logistics and supply chain system. Their significant investments in sprawling fulfillment networks, coupled with the strategic deployment of technology for route optimisation and real-time inventory tracking, have created an unparalleled engine for moving goods swiftly and efficiently. Furthermore, their optimisation of last-mile delivery, integration of automation within warehouses, and a hybrid approach blending in-house capabilities with shrewd partnerships underscore their commitment to scalability. This intricate ecosystem is designed to handle massive volumes and adapt to fluctuating demands – a crucial capability that Nigeria’s agricultural sector desperately needs.
Translating these principles to the Nigerian context requires a fundamental shift towards building a resilient delivery infrastructure specifically tailored for agricultural produce. This necessitates moving beyond traditional, often inefficient methods and embracing hybrid transportation models that account for varying road conditions and geographical challenges. Imagine a network that leverages a combination of refrigerated trucks for long-haul transport, smaller vehicles for navigating local terrains, and even innovative solutions like riverine transport where feasible. Integrating technologies like GPS tracking for real-time visibility of produce movement and strategically establishing a network of collection and distribution hubs across key agricultural zones can significantly streamline the flow of goods.
Implementing robust systems for real-time tracking of harvests and produce, mirroring Amazon’s inventory management, will be crucial in minimising spoilage and maximizing freshness as food travels from farm to consumer. Moreover, forging strategic alliances with existing local logistics providers, leveraging their on-the-ground knowledge and infrastructure, can provide a vital springboard for building a comprehensive network without starting entirely from scratch.
Beyond the physical movement of goods, the power of data, a cornerstone of Amazon’s success, holds immense potential for revolutionising Nigerian food distribution. Leveraging data analytics can provide invaluable insights into regional demand patterns, allowing for more accurate forecasting of optimal harvest and distribution times. This data-driven approach can help match agricultural supply with consumer needs with greater precision, reducing waste and ensuring that the right produce reaches the right markets at the right time – much like Amazon utilizes data for personalized recommendations and understanding customer purchase behavior. Imagine farmers making informed decisions about planting based on predicted market demands or logistics providers optimizing routes based on real-time demand fluctuations.
Furthermore, adopting Amazon’s unwavering focus on customer convenience and trust is paramount, especially when dealing with perishable goods. Establishing reliable delivery schedules, ensuring the quality and freshness of produce upon arrival, and implementing transparent processes throughout the supply chain are crucial for building confidence among both farmers and consumers. This might involve implementing quality control measures at various stages, providing clear communication about delivery timelines, and potentially even exploring traceability systems that allow consumers to understand the journey of their food.
Finally, navigating the complexities and dynamism of the Nigerian market demands a long-term vision and a high degree of adaptability, mirroring Amazon’s sustained focus and agility in the ever-evolving e-commerce landscape. The Nigerian agricultural sector must be prepared to iterate, learn from its experiences, and continuously refine its distribution strategies in response to local challenges and opportunities. This requires a collaborative approach involving government agencies, agricultural organisations, technology providers, and logistics companies working together to build a sustainable and efficient food distribution ecosystem.
By strategically adapting these e-commerce-inspired lessons in logistics, technology adoption, data-driven decision-making, and customer focus to the unique context of Nigerian agriculture, the nation can forge a distribution system capable of efficiently handling increased production. This transformative approach is not merely about moving food; it’s about ensuring that the fruits of Nigeria’s agricultural advancements reach every corner of the country, contributing significantly to food security, mitigating the rising cost of food, and ultimately cultivating a thriving and efficient agricultural future for all Nigerians.
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Afreximbank Unveils Third Edition of Short Film Competition ‘Creative Africa Nexus’

Creative Africa Nexus (CANEX), an intervention by African Export–Import Bank (Afreximbank) has announced the third edition of its vibrant short film competition, CANEX Shorts, that is designed to recognise and celebrate talents of young filmmakers from Africa and the Diaspora.
Filmmakers between the ages of 18 and 35 years can enter the competition for a chance to win a cash prize of $2,000 for outstanding work in each of the competition’s three categories: Best Fiction, Best Documentary, and Best Animation.
To be eligible, they must be Africans living on the continent, in the diaspora or the Caribbean. Each filmmaker can only enter one film for which they must hold all rights. The entered films should have been produced in 2023 or after and can be in any language.
Besides the cash prize, CANEX Shorts winners will also get an opportunity to participate and have their films screened at CANEX at IATF2025, which will take place in Algiers, Algeria, from September 4th to 10th, 2025, a statement explained.
This will also provide them with a chance to connect with potential investors and partners in what has become the largest gathering of creatives on the continent.
“To enter the competition, filmmakers are required to submit their films, not more than five minutes long, via the Film Freeway digital platform (https://FilmFreeway.com/CANEXShorts). From all entries, the selection committee will curate a shortlist of 30 films – 10 films per category for submission to the jury that comprises, well-respected film experts from across the continent. The jury will then select a winning film in each of the categories during CANEX at IATF2025.
“The 2024 CANEX shorts winners were unveiled at CANEX WKND 2024. The winning films were: Silent Screams by Esenaga Mbwe (Botswana) in the CANEX Shorts Best Fiction category; We Shall Not Forget by Brian Obra (Kenya) in the CANEX Shorts Best Documentary category; and Room-5 by Francis Y. Brown (Ghana) in the CANEX Shorts Best Animation category.
“According to the jury, the quality of films submitted during CANEX WKND 2024 was exceptionally high, necessitating award of two Special Mentions: Vodoun Nouminssin and Rain Is Not the Cloud’s Last Parade,” the statement added.
CANEX at IATF2025, where the winners will be unveiled, would also provide a unique platform for nurturing business, investment opportunities, collaboration, partnerships and inspiration amongst the creatives fraternity across value chains of diverse creative and cultural industries from film, music, and fashion to culinary arts, sports, and visual arts amongst others.
The event participants will include creatives, policymakers, financial institutions, business and political leaders, development partners, thought leaders as well as some of the most respected names in the Creative and Cultural Industries from across the continent and the diaspora.
Highlighting the importance of the competition, Executive Vice President, Intra-African Trade and Export Development at Afreximbank, Mrs. Kanayo Awani said: “Africa’s film industry, estimated at over $5 billion is thriving and brimming with untapped potential,” adding, “At Afreximbank, we are committed to unlocking this immense value by supporting platforms like CANEX Shorts that aim to propel African storytelling to the global stage. By investing in our creatives, we are not only creating jobs and economic opportunities; we’re actively ensuring Africa’s vibrant culture and talents gain global recognition.”
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