Too many ideas to test them all

Dear Data-Traveller, please note that this is a Linkedin-Remix.

I posted this content already on Linkedin in May 2022, but I want to make sure it doesn´t get lost in the social network abyss.

For your accessibility-experience and also for our own content backup, we repost the original text here.

Have a look, leave a like if you like it, and join the conversation in the comments if this sparks a thought!

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We finally have some content reports for deepskydata, and we have chosen a new reporting tool. Which one? Read below.

“You are a data consultant, so you must have all your data about your content performance and look at it every day.”

Mmmhh, no…

Because I have so many ideas, I want to test and try them out when creating a setup for myself. I am super bad at consulting myself. Because I don’t say stop and focus.
– let’s try this new approach as well.
– data collection can be quickly done by 4 tools
– data ingestion, why not use this new tool as well

But now, finally, deepskydata ApS has some data setup that at least gives us some insights into how the blog posts and youtube videos are doing. LinkedIn is much more complicated because LI does not like to share its numbers easily (give us this damn API).

And I am happy to announce that we selected Lightdash as our reporting, bi, and visualization layer. Testing it against the usual suspects of Superset and Metabase.

These are my reasons for choosing Lightdash:
– define your metrics and dimensions in one place. I loved this already in Looker and missed it in every other tool. For Lightdash, you define your metrics in your dbt model config. It’s quick and easy once you understand the concept.

– simple chart and reporting setup. I usually work with 2-3 different chart types and don’t need the exotic ones

– chart & dashboard as code are visible at the horizon. It will come, and I am so much looking forward to it.