The ability to collect product data has never been easier, yet many companies still struggle to translate that data into business impact. Adekunle Kadri, Head of Product Analytics at Access Bank Plc and a leading voice in product growth and AI-powered analytics, believes the disconnect lies in how organizations approach product data—not as a strategic function, but as an isolated reporting tool.
Over the phone, Kunle clarified that while companies monitor user engagement, feature adoption, and churn rates, they frequently overlook the broader picture.
“You can optimize the perfect onboarding experience, increase feature engagement, and still fail as a business,” he said.
“Analytics isn’t just about making a product look good on a dashboard. It’s about answering real business questions—how does this product drive revenue? Are we acquiring the right users? Are we retaining them in a way that makes sense long term?”
Kunle, whose experience spans banking, fintech, SaaS, and cloud technology, has spent over a decade refining data-driven product growth strategies. He has observed how organizations often succumb to vanity metrics, measuring signups, downloads, or daily active users without linking them to tangible business objectives.
“I’ve collaborated with teams where analytics functioned as a separate department, only providing reports to the leadership. This approach can lead to the loss of valuable opportunities. Product analytics should shape business decisions, not just summarize them,” he noted.
As companies invest heavily in digital transformation, Kunle emphasizes that leadership must demand more from their analytics teams.
“A lot of executives assume that because they have data, they have insights. Those two things are not the same. Effective product analytics provide a narrative.
“Merely relying on charts and numbers without a clear link to revenue, retention, or operational efficiency amounts to mere measurement,” he stated.
His approach centers on integrating analytics into the broader strategy—ensuring that data-driven insights influence product roadmaps, marketing strategies, and overall business direction. He points to organizations that treat analytics as a core function rather than an afterthought, noting that they tend to make faster, smarter decisions.
“Data should be a decision-making tool, not just a reporting mechanism. Companies that get this right don’t just grow—they scale with purpose,” Kunle added.
Kunle has long been an advocate for building data cultures where engineers, designers, and executives work from the same insights rather than operating in separate silos. He is a mentor, speaker, and active community leader in analytics and product growth, and his work has influenced how organizations use AI-powered analytics to drive business impact.
With companies facing increasing pressure to justify their data investments, Adekunle Kadri’s perspective offers a clear takeaway: product analytics alone won’t save a business. Connecting that data to strategic decision-making is very important.