Type B Manager in a Data-Driven Organization This well-rounded and balanced decision-making approach incorporates both Sarah's analytics skills and her judgment. The data-driven environment provided by the industry and company, in combination with the management training courses she attended, certainly supported her in becoming an all-rounder. After 20 years with the company, she identifies with their values and approaches. She shows a high appreciation for data and its potential, but she also understands that accessing and analyzing data are often time-consuming processes and are considered deterrents to data-driven decision-making by many. Sarah also recognizes the potential biases built into data sets and analysis. She recognizes these and other limitations of data analytics and therefore values the balance provided by human judgment when decisions need to be made. Questions to think about What kind of issues might Sarah have when working with people who are not all-rounders? How can she manage these issues