Sonal Goyal

And why the identity graph needs a streaming architecture too

What happens when the ambiguity you've been tolerating meets something that acts at machine speed

A financial services team I know spent nine months building a knowledge graph.

After a four-year absence, Gartner has brought back the Magic Quadrant for Master Data Management Solutions.

Why "what does revenue mean?" doesnt help "who is this customer?"

Insights from State of Martech 2026

Introducing Reassign - taking the identity graph one step further.

The a16z piece on context layers is spot on. Here’s what it means when you follow the argument all the way through.

For years, data teams were the quiet backbone nobody appreciated. That is changing — fast.

And why we built Zingg the way we did.

And it is actually world-class data engineering!

Why I'm hosting a roundtable on Single Customer View at Martech World Forum — and why you should join us

And why I’ve seen smart agents make dumb mistakes — at scale

Earlier last month, we started working on a feature we are calling Match Statistics.

That which we call a rose, by any other name would smell as sweet. But, will it resolve to the same entity?

More than a decade ago, in the year 2013, the identity resolution problem hit me.

Miles travelled, and miles to go...

because data changes, and the identity graph should keep up too!

Cross reference every entity consistently throughout the enterprise.

Why not both together at the same time?

The days were long, but the years have been short.

Scaling to millions of records on the x small size warehouse

Crossing boundaries of languages and technologies to get stuff done.

Is it a Modern Data Stack? Surely! Minimalist? Of course!

What, already? :-)

A new new way to work with Zingg.