This article lays out a simple way to think about leveraging streaming and linear TV together, so you can defend your results with more confidence to drive trust and increase future budgets.

Streaming is the brain. Linear is the body. Not because one is more important than the other. But because of what each one does when you're curious enough to ask the right questions.

What if, the moment that urgent request landed, you already had a library of pre-built insight cuts—organized by channel, by segment, by time period—that you could grab, adapt, and deliver in a fraction of the time?

How you prepare a dataset determines whether your insights feel trustworthy or shaky, whether your analysis takes an hour or a day...

In April 2026, Quark Insights walked through a practical path from planning your work to targeting the right audience, step by step.

Think of these four tracks as a pre-analysis sifting system.

Analyses achieve more impact — and drive businesses to take action — when you flip your point of view, and begin with the decision instead of the data.

I'm sharing my playbook for how analysts and decision-makers can move from “interesting charts” to decisions people remember, trust, and act on.

Learning how to frame your findings the right way—using a few repeatable patterns—means more of your work actually drives change.

Here's the thing: you don't need hours to orient yourself in a new dataset. You need a system.

When you start leveraging business analytics effectively, you unlock the power to make smarter decisions, spot trends before your competitors do, and truly understand what drives your success.

...raw data is like a box of puzzle pieces scattered on the floor. Actionable analytics strategies are the picture on the box that shows you how to put those pieces together.

Ten lessons representing the difference between being the person who reports what happened and the person who shapes what happens next.

This article is about closing that gap with a handful of repeatable habits you can use on any dataset, for any decision, in work or in your own life.

This week I explore practical tactics for using collaboration and networking to reduce blind spots, sharpen context, and build recommendations that stick.

Producing a thorough analysis, takes time, resources and collaboration.

Having a plan to tackle your analyses will not just save time—it will save effort, cost, and resources.

When you meet executives where they are, speaking in terms of revenue, strategy, and tangible outcomes instead of asking them to translate your analysis into their priorities, something fundamental shifts.

This article shares my own strategies to turn any analysis into something executives embrace.

This article walks through five connected practices that consistently turn scattered metrics into recommendations stakeholders trust and act on quickly.