Interesting read as always! The June.so story is a cautionary tale, and you've hit the nail on the head with the importance of truly understanding the craft of analytics, especially in the B2B SaaS space. It's not enough to just build a pretty UI and offer templates; you need a deep understanding of the underlying data and the specific needs of the users.
I think one of the biggest challenges for these analytics startups is the complexity of B2B data. It's not just about tracking user events; it's about understanding org-level dynamics, revenue streams, and all the nuances of the customer journey. That requires a level of precision and granularity that's often missing in these off-the-shelf solutions.
I'm also curious to see what happens with Equals. They're tackling a different problem, but they're still operating in a very crowded and competitive space. It'll be interesting to see if they can differentiate themselves and build a sustainable business.
To be clear: I like Equals and appreciate all the advocacy Bobby is doing. I borrowed some of his reports. I fear that there is a ceiling in the spreadsheet market, and you have to go out of it sooner or later to scale up. Let's see how the team will navigate it.
Still trying to figure out, in part by reading your articles, what I really am. Am I really an analyst or a PM, or DBA, or DE, or...? So far it seems to be a mix.
Thank you for your newsletter. Good content. Truly appreciate you posting the occasional freebie for us starving students (jkjk)
You don’t truly know who you are until you try on all the hats.
Subjectively:
- If you’re quick to pick up SQL and Python, feel more comfortable with structured projects and clear guidelines, and are good at troubleshooting small, annoying issues, you’re probably more of a data engineer or DBA.
- If you get a thrill from puzzles and brain teasers and have a (somewhat) good memory for numbers, you’re definitely an analyst.
- If you struggle with math and stats, I’d say PM is the way to go.
Btw, I share my content with students free of charge. Send me your email, and I’ll set you up - olga@berezovsky.me
To be honest, I just read in spare moments, not a student at an institution. I won't steal a subscription like that which is for real students but any analytics / ds student should definitely take advantage of the offer in the response above.
Interesting read as always! The June.so story is a cautionary tale, and you've hit the nail on the head with the importance of truly understanding the craft of analytics, especially in the B2B SaaS space. It's not enough to just build a pretty UI and offer templates; you need a deep understanding of the underlying data and the specific needs of the users.
I think one of the biggest challenges for these analytics startups is the complexity of B2B data. It's not just about tracking user events; it's about understanding org-level dynamics, revenue streams, and all the nuances of the customer journey. That requires a level of precision and granularity that's often missing in these off-the-shelf solutions.
I'm also curious to see what happens with Equals. They're tackling a different problem, but they're still operating in a very crowded and competitive space. It'll be interesting to see if they can differentiate themselves and build a sustainable business.
Thanks for sharing your insights.
Thanks!
To be clear: I like Equals and appreciate all the advocacy Bobby is doing. I borrowed some of his reports. I fear that there is a ceiling in the spreadsheet market, and you have to go out of it sooner or later to scale up. Let's see how the team will navigate it.
Still trying to figure out, in part by reading your articles, what I really am. Am I really an analyst or a PM, or DBA, or DE, or...? So far it seems to be a mix.
Thank you for your newsletter. Good content. Truly appreciate you posting the occasional freebie for us starving students (jkjk)
You don’t truly know who you are until you try on all the hats.
Subjectively:
- If you’re quick to pick up SQL and Python, feel more comfortable with structured projects and clear guidelines, and are good at troubleshooting small, annoying issues, you’re probably more of a data engineer or DBA.
- If you get a thrill from puzzles and brain teasers and have a (somewhat) good memory for numbers, you’re definitely an analyst.
- If you struggle with math and stats, I’d say PM is the way to go.
Btw, I share my content with students free of charge. Send me your email, and I’ll set you up - olga@berezovsky.me
Thanks a mil, great to get your thoughts there!
To be honest, I just read in spare moments, not a student at an institution. I won't steal a subscription like that which is for real students but any analytics / ds student should definitely take advantage of the offer in the response above.