[Radar Recap] Unleashing the Power of Data Teams in 2023
Any work that is being done by a data team is all about the business outcome. The output of data teams must provide value in terms of growth, efficiency or cost-savings. So in high-impact teams, it's about how quickly you can give value back using data.
Data teams can be a huge environment to work across—ideally team-members will specialize in one area while being cognizant of everything that happens surrounding data.
Data teams should be more aligned to working closely with many parts of the business rather than tech-specific functions such as IT. Getting value from data teams is heavily linked to ensuring teams solve the right business problems with data. To do this, it makes more sense for data teams to work across the business, dependant on what goals the organization is looking to achieve.
To ensure real-world value comes from your data projects, keep referring to the problem you are trying to solve. It can be easy to fall into a trap of 'how' to solve a problem while ignoring 'why' you are solving it. The real value of a data project comes from the 'why' more than how it is solved.
You are much more likely to see wider variety of value and thought when you have a data team that is diverse in both background and culture. It is an essential factor to asses when building or growing a data team - a wide range of people and opinions will create a wide range of opportunities for business value.
Building Your Data Science Portfolio with DataCamp Workspace (Part 1)
Google Bard for Data Science Projects
Abid Ali Awan
Building a Safer Internet with Data Science
How Data Scientists Can Thrive in the FMCG Industry
Conda Cheat Sheet
Git Rebase Tutorial for Beginners
Javier Canales Luna