Categories
Local reporting ruminations Work

Coworking spaces aren’t profitable

I gave a tour of Workantile this week to a prospective new member who shared her experience working out of The Wing’s DC branch. We got to talking about how WeWork and The Wing were valued in the billions and hundreds of millions of dollars, respectively, before crashing to nothing. Those valuations were clearly absurd, but as a coworking insider, I’ll go a step farther and say there’s not much money in operating a coworking space.

That doesn’t mean coworking spaces aren’t valuable. Workantile has grown friendships, mentorships, careers, side projects, community services and made its members significantly happier. We kick around ideas, eat together, share recommendations and hand-me-downs. A long-time member swears that Workantile saved her marriage. But those benefits accrue to members and their networks and can’t easily be monetized by the space.

And it doesn’t mean people shouldn’t create coworking spaces. On the contrary, now’s a perfect time. Office rents are down, the boom of newly-remote workers are getting lonely, and concern about COVID transmission is receding. But don’t launch a coworking space – or invest in someone else’s – thinking you’ll get rich. The numbers don’t work.

Categories
Data analysis Local reporting Software Work

Making the Switch to Apache Superset

This is the story of how the City of Ann Arbor adopted Apache Superset as its business intelligence (BI) platform. Superset has been a superior product for both creators and consumers of our data dashboards and saves us 94% in costs compared to our prior solution.

Background

As the City of Ann Arbor’s data analyst, I spend a lot of time building charts and dashboards in our business intelligence / data visualization platform. When I started the job in 2021, we were halfway through a contract and I used that existing software as I completed my initial data reporting projects.

After using it for a year, I was feeling its pain points. Building dashboards was a cumbersome and finicky process and my customers wanted more flexible and aesthetically-pleasing results. I began searching for something better.

Being a government entity makes software procurement tricky – we can’t just shop and buy. Our prior BI platform was obtained via a long Request for Proposals (RFP) process. This time I wanted to try out products to make sure they would perform as expected. Will it work with our data warehouse? Can we embed charts in our public-facing webpages?

The desire to try before buying led me to consider open-source options as well as products that we already had access to through existing contracts (i.e., Microsoft Power BI).