Summary of Bill Schmarzo , Design Thinking For Data Scientists

00:00:00 - 00:35:00

Bill Schmarzo discusses how design thinking is essential for data scientists, and how it can be used to improve productivity and success. He also discusses the principles of design thinking, and how they can be applied to data science problems.

• 00:00:00 Bill Schmarzo discusses how data driven businesses need to have a strategy that aligns with their financial goals, shareholder value, and other key metrics. He also discusses how to communicate this strategy to customers and employees.
• 00:05:00 Bill Schmarzo discusses how design thinking can be used to help improve data scientist productivity and success. He points out that, while important, employee satisfaction and environmental RAMIFICATIONS are just some of the many lead indicators that should be optimized in data-driven strategies. Finally, he provides a step-by-step guide on how to fire employees and increase profits.
• 00:10:00 Bill Schmarzo discusses the importance of design thinking in data science, and how it can be used to better understand and empathize with users and customers. He also discusses the principles of design thinking, and how they can be applied to data science problems.
• 00:15:00 Bill Schmarzo discusses the importance of having a value frame for data scientists to use when working with AI and ML technologies. He also discusses the importance of bringing in diverse stakeholders to help with the decision-making process.
• 00:20:00 Bill Schmarzo discusses the importance of cultural literacy in data management, cultural factors that can hinder data-driven decision making, and the need for employees to become data-literate. He also provides a non-political example of how 13% of Americans do not wear seat belts, illustrating the importance of data-driven decision making.
• 00:25:00 Bill Schmarzo discusses the importance of learning from failure, and how to do so by experimenting and being data-driven. He also discusses the importance of having a center of excellence, data experiments, and data informed decision-making.
• 00:30:00 Bill Schmarzo discusses the importance of data strategy and the role of a data strategist. He points out that while a data strategist may initially need to focus on acquiring and understanding key data sets, the ultimate goal is to create value and drive business outcomes. Schmarzo advises businesses to identify key data sets and metrics, and to consider incorporating design thinking into data acquisition and analytics processes.
• 00:35:00 Bill Schmarzo discusses his experiences and thoughts on design thinking, which he believes is essential for data scientists. He also cites Kirkborn and John Thompson as influential teachers, and discusses his experiences working with customers and students.