Be Data Analytical
Kogan Page Ltd (Verlag)
978-1-3986-0930-3 (ISBN)
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.
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.
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;
"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."
"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."
"Ingenious! Jordan's engaging work propels the reader from data literacy to data analysis."
| Erscheinungsdatum | 25.05.2023 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 164 x 240 mm |
| Gewicht | 590 g |
| Themenwelt | Schulbuch / Wörterbuch ► Lexikon / Chroniken |
| Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| ISBN-10 | 1-3986-0930-7 / 1398609307 |
| ISBN-13 | 978-1-3986-0930-3 / 9781398609303 |
| Zustand | Neuware |
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