Best Practices

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.

With the right structure — and a clear sense of what story you're trying to tell — you can build something that is simple, clear, and keeps your business focused on what is most critical.

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.

When you master the ability to deliver clear, focused, and actionable presentations, you shift from being seen as someone who reports information to someone who influences strategic decisions.

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

Organization is something I frequently come back to in my blog. Why? Think of it as the control center for all the effort you've invested in compiling your analysis, insights and/or data storytelling.

The moment when your analysis earns real influence—when executives stop nodding politely and start asking "How fast can we move on this?"

When you know how to listen carefully, ask the right questions, and organize information effectively from the start, you set yourself up for smooth execution and happy clients.

A bit of organization, some solid, go to tactics to approach your data, and you can save yourself a lot of time and aggravation sifting through data, hoping something stands out.

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.

I built a simple, repeatable process for handling routine requests. Not a rigid template—a flexible framework I could adapt to different situations.

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