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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.
Nigeria Union of Journalists (NUJ) has criticised the National Broadcasting Commission (NBC) over a recent directive to broadcast stations, describing it as a threat to free speech and press freedom.
In a press release signed by Achike Chude, national secretary, the union said it viewed the NBC’s notice released on 17th April with “grave concern and utter disappointment.”
It said the directive, which warned broadcasters to ensure “strict and uncompromised compliance,” was “nothing short of a veiled attempt to gag the media and institutionalise censorship.”
The union argued that the NBC’s warning against anchors expressing “personal opinions” interferes with newsroom decisions.
“Journalism, particularly in the realm of current affairs and political analysis, requires robust engagement,” the NUJ said.
It added, “To strip presenters of their right to analyze and contextualise news is to reduce the Nigerian media to a mere mouthpiece.”
The NUJ also faulted what it called vague rules and harsh penalties.
It said classifying such actions as offenses punishable by fines or suspension creates “a chilling effect.”
According to the statement, “This regime of fear encourages self-censorship, where journalists are too afraid to ask tough questions.”
Citing Section 39 of the 1999 Constitution, the union stressed that freedom of expression includes “the freedom to hold opinions and to receive and impart ideas and information without interference.”
It added, “The NBC Code cannot and must not be used to override the supreme law of the land.”
The NUJ called for dialogue instead of threats and urged journalists to remain “resolute, professional, and fearless.”
It said, “The media is the watchdog of society, not the lapdog of the government.”
Fela Anikulapo-Kuti, simply known as Fela, legendary Nigerian musician, has made history as the first African artist to be inducted into the Rock & Roll Hall of Fame.
Fela
This is coming after he was posthumously honored with the 2026 Grammy Lifetime Achievement Award, becoming the first African artist to receive this prestigious special merit recognition.
Fela will be honoured in the early influence category this year, along with Queen Latifah, rapper MC Lyte, country rocker Gram Parsons, and Cuban singer Celia Cruz at this year’s Rock and Roll Hall of Fame event.
The honorees were revealed on Monday night in the US, during an airing of American Idol.
Sade Adu, Nigerian-born British singer, will be honoured in the performance category.
However, Shakira, Mariah Carey, Lauryn Hill, New Edition, and Pink, missed out on the final cut despite being nominated.
Over 1,200 artists, historians and music industry professionals voted to decide the honorees.
The induction ceremony will be held on 14 November at the Peacock Theatre in Los Angeles.
National Broadcasting Commission (NBC) is set to launch so-called FreeTV, with over 100 channels for news, sports, education, entertainment and children’s programming in multiple Nigerian languages.
The launch is scheduled for May 15.
Charles Ebuebu, director-general, NBC, who disclosed this, said the new platform will offer free-to-air access with no carriage fees, leveraging hybrid satellite and internet delivery via NigComSat-1R.
The new plan is not an upgrade, the NBC stressed. This is a rebuild, according to Ebuebu .
FreeTV will be true free-to-air – no encryption, no set-top box barrier.
Any DVB-T2/S2 television will work. A mobile app will extend reach to phones and tablets.
The platform will launch with over 100 national, regional and state channels across sports, news, children’s programming, education, entertainment and cultural content in Hausa, Yoruba, Igbo, Tiv, Ijaw, Edo, Fulfulde, Ibibio, Efik and Nupe – all in HD.
Crucially, the NBC has partnered with a Bulgarian firm, GARB (operating since 2006 and recognised by the European Broadcast Union), to deliver a 94 per cent-accurate audience measurement system using return-path data, app analytics, demographic panels, and Artificial Intelligence (AI).
To qualify broadcasters, must commit their channels, produce a minimum of 60 per cent local content, and promote FreeTV until January 2029.
After that, a regulated tiered rate card takes effect.
According to NBC, the strategic rationale is simple: build viewers first, monetise later.
The document further revealed that six regional production hubs in Lagos, Abuja, Port Harcourt, Enugu, Kano and Benin would function as local content factories, expected to generate 500 to 1,000 jobs per zone within two years.
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