Be Data Analytical
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Be Data Analytical: How to Use Analytics to Turn Data into Value

Be Data Analytical: How to Use Analytics to Turn Data into Value


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About the Book

FINALIST: Next Generation Indie Book Awards 2024 - Education/Academic Non-Fiction Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making. Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making. Be Data Analytical examines each of these four levels of analytics in-depth: what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action.

Table of Contents:
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;

About the Author :
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.

Review :
"A must-read for anyone looking to harness the power of data. Be Data Analytical stands out as a comprehensive guide that empowers readers to unlock the hidden potential within their data, driving innovation and growth in any field." "If you're looking for a practical guide to learn about the four levels of analytics, look no further than Be Data Analytical. Jordan Morrow's hands-on approach to teaching data analytics makes the book an invaluable resource for anyone who wants to learn the skills needed to succeed in the field. The clear explanations, practical examples and content breakdown make this book an excellent choice for both beginners and experienced professionals." "Jordan's passion and enthusiasm for data shines through. Breaking down analytics into four accessible levels means this book is for everyone. Its real-life examples and analogies bring to life the importance of understanding and implementing good analytics." "This book provides an excellent framework for data-driven decision-making in organizations. By framing the analytics implementations progressively through the four levels of analytics, Be Data Analytical is easy to follow as an analytics guidebook. At each stage, the book covers key definitions, roles of the different enterprise players, numerous business examples and strategy suggestions to get the analytics job done." "Data Analytics is a crucial aspect of decision-making in the modern business landscape, and this book provides a comprehensive guide to understanding its nuances. The author's expertise and passion for the subject is present in every chapter, making this book a must-read for anyone seeking to improve their data literacy and enhance their decision-making skills. I highly recommend this book to anyone looking to unlock the power of data analytics in their organization." "Be Data Analytical is a book about leadership, decision making, staying ahead and having your own built-in systems. A consummate storyteller, Jordan speaks to those who know this space and those who perhaps need to. The data environment has changed forever and the complexity and challenge for leaders means the rule book we used to follow, and our previous frames of reference, are redundant. New ways of thinking and improving decision making are therefore vital." "Ingenious! Jordan's engaging work propels the reader from data literacy to data analysis."


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Product Details
  • ISBN-13: 9781398609280
  • Publisher: Kogan Page Ltd
  • Publisher Imprint: Kogan Page Ltd
  • Height: 233 mm
  • No of Pages: 240
  • Spine Width: 13 mm
  • Weight: 418 gr
  • ISBN-10: 1398609285
  • Publisher Date: 03 Jun 2023
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: How to Use Analytics to Turn Data into Value
  • Width: 157 mm


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