Analytics today sits at the intersection of intelligence and influence. For global organizations, the question is no longer how much data they have but how effectively they use it to steer strategy, inspire action, and deliver value at scale. As AI accelerates decision-making and automation reshapes workflows, analytics leaders are being called to architect systems that connect human understanding with machine precision.

At Transmission Agency, that vision is becoming reality. In this second installment of this two-part series, Jonathan Cocek, Global Vice President of Analytics at Transmission Agency, speaks with Peter Geovanes, Founder and CEO of Juris Tech Advisors, about redefining analytics through unification, storytelling, and AI. Cocek shares how Transmission connects insight to action and builds systems that turn data into a competitive advantage.

The first part unpacked how analytics serves as the “central nervous system” of business transformation at Transmission, aligning data, technology, and people across 50+ countries.

Fragmented dashboards to unified experience

For Cocek, analytics excellence begins with simplicity. In B2B technology, he says, clients love dashboards — but often suffer from too many of them. His mission is to build a seamless, singular platform that lets stakeholders see the truth at a glance.

“A unified experience rather than a fragmenting, dashboarding experience — that’s my quest.”

The goal is a “single solution” that serves both internal and external needs, integrating multiple data streams across departments and clients. With AI-powered app-building capabilities, Transmission accelerates speed-to-market while closing data gaps.

“Better data means better AI, and those results equate to accurate predictions.”

By automating invisible, background systems, Cocek’s team ensures that what stakeholders see is real, complete, and actionable.

Storytelling as the soul of analytics

While technology underpins analytics, Cocek insists that the human element of storytelling remains central. Transmission’s analytics practice has evolved from tracking performance to uncovering the why behind it. Through a combination of first- and third-party data, the team seeks to understand emotion, context, and behavior.

By measuring customer sentiment, Cocek explains, the team identifies what motivates people to act rather than merely observing that they acted. This, he says, transforms data from operational reports into strategic assets that drive differentiation and growth.

“This transforms customer data from operational reporting into strategic assets that drive market differentiation and strategic growth.”

ROI conversations in the C-suite

Analytics, Cocek argues, only matters when it drives meaningful business outcomes. And that means tying metrics directly to executive accountability. “The best CMOs don’t just run campaigns; they own the customer-level metrics and accountability to improve them.”

He describes how metrics like lifetime value to customer acquisition cost (LTV-to-CAC) ratios create shared ground for debate among CEOs, CFOs, CTOs, and CMOs.

Cocek further adds how each leader contributes a different lens, as the CAO/CDO defines the data strategy, the CTO/CIO designs the tech infrastructure, the CEO sets the overarching vision, the CFO focuses on efficiency, and the CMO shapes the acquisition strategy.

“When you can bring up LTV-to-CAC ratio discussions, that’s where the debate happens — and that’s where you can start having really good conversations about ROI and how to get there.”

AI as catalyst and equalizer

Transmission has been an early adopter of AI — integrating it into analytics workflows, internal tools, and client solutions. For Cocek, AI has shifted the company from being resource-seeking to resourceful.

“It introduces speed and scalability for the operational solutions we’re building internally or externally for our clients.”

Real-time optimization is now possible, compressing weeks of work into days. AI automates processes, accelerates deployment, and enhances communication across global teams.

“AI is a great equalizer. It enables us to clearly communicate across different dialects and cultures, with mathematics serving as the universal language.”

Cocek illustrates AI’s practical use with a hands-on example: generating and sharing production-ready code between global teams. By defining data fields, variables, and business questions, AI can automatically spin up commented code for deployment.

AI also integrates seamlessly into daily operations, connecting workflow tools like MCP servers with Outlook and Teams, making communication and project tracking more fluid.

Building mature analytics with a human core

When asked about advancing analytics maturity, Cocek advocates for focusing on people before platforms. “Leadership and culture matter more than technology.”

Organizations, he says, must systematically close data gaps, empower employees with AI, and listen closely to their customers. Combining business expertise with data engineering and machine-learning capabilities creates teams that can model customer behavior and enhance experience.

“The goal is to see your customer completely through accurate data, then applying the right level of analytical rigor to optimize their experience.”

CDO Magazine appreciates Jonathan Cocek for sharing his insights with our global community.