Metadata
- Author: Katie Bauer
- Full Title:: Elbows of Data
- Category:: 🗞️Articles
- Document Tags:: ✍️ Sobre si mola levantar un equipo de Data , Data culture
- URL:: https://wrongbutuseful.substack.com/p/elbows-of-data
- Finished date:: 2023-02-12
Highlights
It makes me think of a job I once had where the data team was broadly viewed as amateurish by the company’s senior leadership. The constant refrain was that we just needed the right leader to set us straight, and we went through a series of pedigreed heads of data who bailed quickly when they only succeeded at disappointing those same senior leaders for not turning things around quickly enough. In some cases it wasn’t surprising—those heads of data were bad at what they did and the company’s senior leadership didn’t know enough about data work to identify this in interviews—but at this point I look back on those leaders with more compassion. It was a hard environment for data folks to be successful in. (View Highlight)
many companies are not environments where data teams can be successful, no matter which people, processes or technologies they put into place. Simply said, data teams being left on the sidelines is a problem of company culture (View Highlight)
Some folks in the data world will tell you that the only way to avoid this is to work for a company where data is the product because then data will finally be critical to the success of the business (View Highlight)
The most impactful data folks I’ve worked with in my career have not been iconoclastic or revolutionary heads of data, nor have they been analytically brilliant data scientists or mastermind architect data engineers. They’ve been elbows of data—folks who have insisted on being involved in driving the company forward, whether they were invited to or not. (View Highlight)
If teams at their companies send weekly updates or quarterly newsletters, they engage with them (View Highlight)
elbows of data don’t wait to be asked, for their opinion, to be invited to meet with someone, or to solve impactful problems that aren’t obviously anyone’s job to solve (View Highlight)
Elbows of data are proactive about explaining their constraints and asking for what they need (View Highlight)