Jordan Morrow is known as the "Godfather of Data Literacy", having helped pioneer the field by building one of the world's first data literacy programs. He is the founder and CEO of Bodhi Data, served as the Chair of the Advisory Board for The Data Literacy Project and has helped companies and organizations around the world, including the United Nations, build and understand data literacy. Morrow is the author of three books: Be Data Literate, Be Data Driven, and Be Data Analytical, all published by Kogan Page. He is based near Salt Lake City, Utah.
Inhaltsangabe
Chapter 00: Introduction; Section ONE: Data and analytics; Chapter 01: Defining data and analytics; Chapter 02: Defining the four levels of analytics; Chapter 03: The power of analytics in decision making; Section TWO: The four levels of analytics define, empower, understand and learn; Chapter 04: Descriptive analytics; Chapter 05: How are descriptive analytics used today?; Chapter 06: How individuals and organizations can improve in descriptive analytics; Chapter 07: Diagnostic analytics; Chapter 08: How are diagnostic analytics used today?; Chapter 09: How individuals and organizations can improve in diagnostic analytics; Chapter 10: Predictive analytics; Chapter 11: How are predictive analytics used today?; Chapter 12: How individuals and organizations can improve in predictive analytics; Chapter 13: Prescriptive analytics; Chapter 14: How are prescriptive analytics used today?; Chapter 15: How individuals and organizations can improve in prescriptive analytics; Section Three: Bringing it all together; Chapter 16: Using all four levels of analytics to empower decision making; Chapter 17: Conclusion;
Chapter 00: Introduction; Section ONE: Data and analytics; Chapter 01: Defining data and analytics; Chapter 02: Defining the four levels of analytics; Chapter 03: The power of analytics in decision making; Section TWO: The four levels of analytics define, empower, understand and learn; Chapter 04: Descriptive analytics; Chapter 05: How are descriptive analytics used today?; Chapter 06: How individuals and organizations can improve in descriptive analytics; Chapter 07: Diagnostic analytics; Chapter 08: How are diagnostic analytics used today?; Chapter 09: How individuals and organizations can improve in diagnostic analytics; Chapter 10: Predictive analytics; Chapter 11: How are predictive analytics used today?; Chapter 12: How individuals and organizations can improve in predictive analytics; Chapter 13: Prescriptive analytics; Chapter 14: How are prescriptive analytics used today?; Chapter 15: How individuals and organizations can improve in prescriptive analytics; Section Three: Bringing it all together; Chapter 16: Using all four levels of analytics to empower decision making; Chapter 17: Conclusion;
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