When it comes to solving the big problems in data, “if we don’t try to find a middle ground, nothing happens,” says Harry Kraemer, Jr., author of From Values to Action: The Four Principles of Values-Based Leadership, at this week’s Data Standard members event.
We asked Harry to join us for two equally important reasons: Healthcare is such a critically important area for data in these times, and leadership skills are essential for data scientists who are increasingly being pushed into executive, decision-making roles. And we asked Josh Odmark from Pandio to walk through a demonstration of Presto, because it’s a tool that data scientists can use to power success in their work.
On the call, which was for members only, Harry led a discussion around self-reflection, one of his four principles. Self-reflection, he said, leads to influence and effective leadership. If you don’t know yourself, how can you know how to lead others? Some members thought it might be useful to share with employees across the workforce. Self-reflection can be useful in any number of situations.
Leaders are being called to make tough decisions these days, and good leadership starts with core principles. Harry recommends his four, which you can read more about here. Making decisions about data will always walk a thin line of competing interests, leaders will be called on to make the hard decisions. Or, as Harry says, always say yes: “The answer is always yes.
Are we going to stay focused on privacy, and make data more available? Yes.”
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