This document discusses Ryan Kim and his work as a convergence business designer analyzing sports like baseball using various analytical methods. It references the book Moneyball about how the Oakland A's used sabermetrics and analytics to build a competitive team despite their small budget. The document also mentions data visualization and using data to defeat myths.
The document discusses design thinking, emphasizing its role in fostering innovation and problem-solving by integrating analytical and creative thinking. It explores the shift from technology-driven innovation to a problem-centered approach in design-led startups and highlights the importance of creativity and data in the process. Additionally, it critiques traditional educational models, advocating for an environment that encourages independent discovery and adaptability among students.
-How data will transform business
-Sabermetrics
-Visualization vs Customer Experience
-How a visualisation is made
-Big data is better data?
-Visual Literacy
This document contains summaries and excerpts from the Harvard Business Review article "When Data Visualization Works And When It Doesnt" published on March 27, 2013. It discusses three reasons for visualizing data: confirmation, education, and exploration. It also addresses factors that influence the effectiveness of data visualization like data quality, context, and creator biases.
The document discusses how MOOCs (Massive Open Online Courses) utilize open innovation, crowd learning, and platform business structures. It explains that MOOCs use open innovation to create higher value educational experiences by bringing together networks from universities like MIT and Harvard. MOOCs also employ crowd learning by allowing students to learn from each other's expertise and opinions shared online. Additionally, the document states that MOOCs have a platform business model and form complex networks similar to Facebook, iTunes, and Twitter.