THOUGHT LEADERSHIP

Findings from 104 data professionals on data team size, reporting lines, and challenges Introduction Each month, we run a brief survey through our newsletter and social channels to capture what’s...

In modern enterprises, every team is under pressure to deliver measurable results that directly impact revenue. IT and engineering teams are expected to build and maintain the core products that...

We are entering a new era in enterprise data: the era of the Data Operator . As AI becomes core to every business process, every team is being asked to...

In today’s enterprise environment, digital transformation no longer lives solely in the domain of IT. Digital architects, digital technology teams, and cross-functional product leaders now carry critical responsibilities for building...

For years, “Shadow IT” was a warning sign, a red flag for CIOs, compliance officers, and data governance teams. It meant business users were spinning up their own tools and...

For decades, IT has been the gatekeeper of data in the enterprise. Every data pipeline, integration, and sync request has traditionally gone through a centralized team of specialists. In the...

A few years ago, if you asked someone to define “vibe data engineering,” you’d probably get a puzzled look. Today, it's a phrase that's beginning to surface in conversations across...

When ChatGPT entered the mainstream, it didn’t just change how people use artificial intelligence, it changed who gets to use it. By abstracting away the complexity and making the interface...

In this post, we explore why legacy ETL pricing models are fundamentally misaligned with the demands of modern AI workloads. Read more.