How to build a mental model that will make you an in-demand data leader
pre-s: Free Measuring Success for Data Teams Live Stream tomorrow at 12 pm ET on Linkedin.
See you there!
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How to build a mental model for data that will make you an in-demand data leader.
As a data leader, if you can develop a robust framework for these 3 things you will set yourself apart from your data peers and generate the attention of leadership.
Why
Why do we do what we do with data? Why is our organization investing so much money into data talent and technology? Why is data important to our organization?
Most people don't ask these questions seriously. They are happy with their assumptions about data. Establishing a real framework for answering the "Why" will take you far.
What
What do you need to build with data? What are the technical pieces that matter most? What are important technology elements that will allow us to be successful?
Many people start with the "what", but they quickly get confused because they don't have a clear "why". Once your "why" foundation is firm, there is invaluable knowledge required about the "what".
How
Naturally, after the "why" and "what" of data you have to ask about the "how". How do you actually build, deliver, and scale with data? How do the people, processes, and technology work together?
This is the phase where you move from theory to reality. Leading with data requires function and practical skills in operating and managing a data team, stakeholders, and data technologies.
Which of these do you feel most comfortable with?
Where do you have gaps in your understanding?
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This "Why", "What", and "How" is the framework we follow for our data leadership cohort this summer.
Starting on July 16th we are gathering for 2 hours a week in a small group to discuss these topics. In between meetings, we will continue the conversations through async chat and video messaging.
If you are looking to transform yourself into an invaluable data leader this summer, this is your opportunity.
Join Ahmad, James, and myself.
I’m here,
Sawyer