Leveraging AI and Analytics: Transforming Our Analytics Department

May 15, 2025

Picture of Will Mather

Will Mather

Director of Analytics & Applied AI

B2B marketers today face more pressure than ever to prove their campaigns are driving measurable impact.

It’s not enough to just report numbers; we must shape a clear, persuasive story backed by data that executives trust. But messy, siloed data and endless spreadsheet work often trap analysts in manual reporting, slowing down insights and reducing overall impact.

At Just Global, we’ve significantly reduced these hurdles using secure AI workflows. By cleaning data directly at the source, automating routine reporting tasks, and proactively identifying spend anomalies, we now deliver higher-quality, actionable reports faster. Our analysts have sharper tools to optimize campaigns in real time, and our leadership gets the concise, compelling narrative needed to champion budget decisions and growth.

Tools That Made an Impact

ChatGPT Teams has quickly become one of our analytics team’s most trusted allies. Early on, we tested several AI solutions and found many lacked depth, integration capabilities, or sufficient security measures, all dealbreakers given our standards. ChatGPT Teams rose to the top by reliably helping us create complex Excel formulas, SQL queries, and build Python scripts to automate previously tedious reporting tasks.

What truly sets our chosen tools apart is their combination of flexibility, precision, and built-in security. It was important for us not only to enhance productivity but also to maintain client trust when working with sensitive data.

Results: The Good, The Bad, and The Ugly

Adopting AI has clearly delivered wins. Automating reports with Python scripts alone boosted our reporting efficiency nearly 40%, freeing analysts to spend their time on strategic thinking rather than repetitive tasks. Additionally, AI-assisted brainstorming sessions are now producing faster, smarter solutions to challenges we previously spent hours solving.

Yet, I’d be lying if I said it was easy from the start. AI isn’t just a magic button. There was a real learning curve especially around effective prompting techniques. If you approach AI the way you approach Google Search, you’ll quickly become frustrated with vague outputs. We invested significant upfront effort in training and experimentation, but thankfully, those early investments have consistently paid off in accuracy, quality, and efficiency gains.

Initially, most of our AI-driven personalization felt generic or missed the mark, which wasn’t surprising. If there’s one thing I’ve learned, it’s that the Pareto Principle (the good old 80/20 rule) applies perfectly to AI outputs. AI quickly gets us 80% of the way there, but that last 20%, where our analysts fine-tune tone, sharpen context, and confirm data accuracy, is absolutely critical and, again to no surprise, takes most of our effort. That extra attention transforms content from just “good enough” into genuinely valuable communication, ultimately driving deeper client impact.

Senior Leadership Considerations: ROI and Rollout Challenges

From the beginning, senior leadership closely monitored our adoption of AI, especially with regards to return on investment. Integrating AI across diverse teams wasn’t just about finding the right tools—it required careful coordination, dedicated training, and consistent demonstration of tangible value.

We regularly highlighted examples of AI’s impact in our weekly meetings and dedicated Slack channels. These concrete examples didn’t just reassure leadership, they built enthusiasm and secured ongoing executive support for further AI initiatives.

Data Privacy and Security

Our clients trust us with sensitive data, a responsibility we do not take lightly. Platforms like ChatGPT Teams ensure data we input doesn’t feed back into broader large-language model training. Even with these built-in protections, explicit client approval remains our standard procedure before incorporating AI into workflows. It’s part of our deliberate, ethical, and responsible approach to data privacy and AI deployment.

Addressing Job Displacement Concerns

I know firsthand there’s anxiety around AI and job security. But within our analytics team, AI has been positioned from the start as a powerful tool, not a replacement. Concerns about job displacement quickly disappeared once team members saw AI enabling their work, making analysts more efficient, not competing with it. Analysts using AI regularly report greater satisfaction, higher confidence in their insights, and clearer paths to professional growth.

In Closing

Our AI journey at Just Global has been strategic, thoughtful, and genuinely impactful. It hasn’t always been smooth sailing, but overcoming those early hurdles has made our success even more meaningful. If your organization is hesitating about adopting AI, consider this your clear sign to start. Done right, AI doesn’t just save time, it multiplies the value and clarity your analytics deliver to your clients and your business.

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