Analytics tools aren’t the center of decision-making anymore, cloud infrastructure is. Here’s why the shift is happening and what it means for the future of measurement.
Thanks for the article Julina :)! I fully agree with it and as usually I have two questions:
1 - In your future course with Timo are you approaching in practice "...data preparation, transformation, and automation...." with some dataset and tools?
2 - I miss a paragraph like "What this means for Web Analysts as we know them"..Despite the article has a lead on that in the paragraph "Resturcturing Analytics Teams". Should we data analyst become more hard core data analysts? That's the reason for my first question :)
Hey Joao, I definitely consider that you should invest time as a data analyst to learn data engineering, and the basics of cloud. So for sure prep, transformation, automation should be a part of your skillset. It's not a must but it's important if you want to stay competitive with your skills. I think @Timo Dechau already has some courses on this if Im not mistaken. In our course we wont talk about this, we will talk about the commercial element of the analyst role and how to get your work valued inside an org.
Thank you Juliana! I'll send him a Lkd message to see what he says. Meanwhile I have on my "study backlog courses AWS" :). But I think GCP makes more sense.
Thanks for pushing this as well. And it was not as hard as a I thought. My part about GA4 alternatives would have been more brutal.
Ha. Trust me. I could have but I've chosen less violent outcomes
Thanks for the article Julina :)! I fully agree with it and as usually I have two questions:
1 - In your future course with Timo are you approaching in practice "...data preparation, transformation, and automation...." with some dataset and tools?
2 - I miss a paragraph like "What this means for Web Analysts as we know them"..Despite the article has a lead on that in the paragraph "Resturcturing Analytics Teams". Should we data analyst become more hard core data analysts? That's the reason for my first question :)
Hey Joao, I definitely consider that you should invest time as a data analyst to learn data engineering, and the basics of cloud. So for sure prep, transformation, automation should be a part of your skillset. It's not a must but it's important if you want to stay competitive with your skills. I think @Timo Dechau already has some courses on this if Im not mistaken. In our course we wont talk about this, we will talk about the commercial element of the analyst role and how to get your work valued inside an org.
Thank you Juliana! I'll send him a Lkd message to see what he says. Meanwhile I have on my "study backlog courses AWS" :). But I think GCP makes more sense.