The Data Consulting Club Opens!

Last week, we launched the Data Consulting Club, a LinkedIn community where those who run data consultancies can learn from each other as they work to improve and grow their businesses.

It’s a space for founders, partners, and managers of data consultancies to exchange experiences and insights with peers about everything involved in running and growing a successful data consultancy, from pricing, client acquisition, and hiring to productizing partnerships and market trends.

If you’ve been wishing a place like that existed, head on over to the Data Consulting Club!

As we’ve been working on Arch with our design partners over the past few months, we noticed that most of them were going through the productization journey essentially on their own, having to figure it all out from zero without anyone who’s done it before to learn from.

Arch addresses the technological hurdle to productization (the poor fit of the Modern Data Stack), but selling a product or productized service is different from selling consulting services in terms of lots of ways, including marketing, project management, contracts, invoices, and support, and you shouldn’t underestimate the shift in mindset and processes it requires. Tools like Common Paper and Stripe help with parts of that, but it would be nice if every data consultancy didn’t have to figure out all the do’s and don’ts from scratch.

As it turns out, there are thousands of online communities for data practitioners to discuss the latest tools and best practices for working with data, but none are dedicated to the unique challenge of running a business that supports companies in that. The lack of spaces where leaders of data consultancies can transparently exchange experiences and insights and learn from their peers makes everything involved in running and growing a data consultancy harder and slower than it needs to be.

We’re dedicated to helping data consultancies grow their businesses in whichever way we can, so we’re going through the hurdles to productization one at a time. So,