Hey, new Friday and special Data News this week. This week has been pretty packed in term of work for me so here a joker as a weekly newsletter. This is a compilation of great resources about building a data team.
This is a collection I've created when working on a talk called "How to build a data dream team" that I've made last year. All the articles are different and give a large spectrum of perspectives about creating a data team.
In my experience, building a data team is a mixture of everything, there's no single recipe, but for it to work, you need to adapt the technology you choose to the people you have. These days, it's very easy to technically build a data platform, but building a data team goes further than that, it's about processes, communication and prioritization, how to build trust with stakeholders, etc.
10 great resources to build a data team
- How to build your data team? — This article from Castor team brings all the vocabulary needed. It explains what are the different models: centralised, embedded or federated and what are the pros and cons for each. It also overlook the topic of the size and the roles.
- Net promoter score for data teams — A very important topic I guess. A reminder, one of the most common data team mission is to empower stakeholders. So face the truth and compute a NPS to know what your stakeholders are thinking about.
- Vision for a data team — Probably the most pragmatic and full of handy advice. This blog from Alan data team explain what a data team should do.
- Building a data team at mid-stage startup: a short story — Views of all the journey your data team will go through in a startup. From the first day to one year later.
- Data team, how we work — The Gitlab handbook which is a big bible of resources when it comes to data. Everything is detailed, how do they work, how they do triage, prioritisation, etc.
- How Typeform build a data team in under 6 months — 5 key insights and 7 top advices about what to do.
- Data organisation: why are there so many roles? — A great guide about the role and responsibilities of people in a data team.
- How to build a data analytics dream team — Goes a bit further than the previous article open to new (weird) roles.
- The next big challenge for data is organisational — Yes, technically this is just about alignement. The rest is human collaboration and change management which is quite hard.
- Building a data team, dbt recommendation guide — dbt Labs wrote a great guide about data team building.
Sorry about this intermittence in my Data News, I promise next week I'll be back ❤️.