Organizations are improving the quality of their marketing analytics at less cost, which is translating into more overall marketing efficiency – all by adopting the modern data stack.

In the past, most software applications were all about “data processing.” In the parlance of old-school management information systems, that meant an almost exclusive focus on keeping accurate transactional records alongside any master data necessary to complete that mission. Transaction processing is important, of course, but in today’s world, applications are expected to deliver a lot more than that.

What pray tell is a tautology? A tautology is something that, under all conditions, is true. It is kind of like gravity. You can throw a ball in the air and, for a few seconds, it seems to be suspended. But soon gravity takes hold, and the ball falls back to earth.

Oh boy, it’s been more than a year again since my last HKBFUKC article (yep, that’s a new standard abbreviation). This is the fourth article in the series. You can always check out the first, second and third on our blog. Again, loads of stuff has happened since the last time. I made the top 16 at the 4 Seasons MTG Legacy tournament in Bologna, I visited Lego House in Billund and I got married!

Information technology has been at the heart of governments around the world, enabling them to deliver vital citizen services, such as healthcare, transportation, employment, and national security. All of these functions rest on technology and share a valuable commodity: data. Data is produced and consumed in ever-increasing amounts and therefore must be protected. After all, we believe everything that we see on our computer screens to be true, don’t we?

Planetly uses technology to simplify carbon management for companies at scale. Their data-driven software solution helps companies reach net-zero emission targets in four steps: The entire carbon management life cycle is powered and fueled by data. We talked to Cari Davidson, VP of Engineering and Patricia Montag, the Engineering Lead Analytics, to better understand what role Keboola (and data as a whole) play in the company’s operations and what that means for the engineering team.

Discover how your company measures up against similar companies based on your KPIs.