How To Reduce Your Data Teams Costs

Saving Thousands Of Dollars By Turning Things Off

It’s easy to let costs run a little wild with data teams. In the last decade, the charge for many companies has been data insights and costs have taken a back seat. This has led to many companies spending hundreds of thousands if not millions on data initiatives. Even when these data initiatives fail.

Over the past year, our team has worked with several companies to gain a better grip on some of their major pain points from a cost perspective. Costs can be driven by complex systems, inefficient data workflows, and a lack of clear processes.

All of these add up to a lot of wasted time and resources.

So where can your team look to help reduce their data team costs? Especially in a market that is leaning towards improved balance sheets.

Let’s start with infrastructure.

Simplify Data Infrastructure

The modern data stack has provided companies of all sizes with easy access to their data.

But with the term came large marketing efforts from start-ups trying to prove valuations and increase ARR. Some of these tools have helped simplify processes, while others have added more complications.