
Be Data Analytical
How to Use Analytics to Turn Data into Value
Jordan Morrow(Author)
Kogan Page Ltd (Publisher)
1st Edition
Published on 3. June 2023
Book
Paperback/Softback
240 pages
978-1-3986-0928-0 (ISBN)
Description
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.
Reviews / Votes
"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."More details
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
College/higher education
Product notice
Paperback (trade)
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 14 mm
Weight
371 gr
ISBN-13
978-1-3986-0928-0 (9781398609280)
Schweitzer Classification
Other editions
Additional editions

E-Book
06/2023
1st Edition
Kogan Page Ltd
€36.99
Available for download

Book
06/2023
1st Edition
Kogan Page Ltd
€115.30
Shipment within 10-20 days
Person
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 and driving thought leadership. He is the founder and CEO of Bodhi Data and Senior Vice President of Data and AI Transformation for AgileOne, helping to utilize data and AI
in the total talent management space. Morrow is a global trailblazer in the world of data literacy and enjoys his time traveling the world speaking and/or helping companies. He served as the Chair of the Advisory Board for The Data Literacy Project, has spoken at numerous conferences around the world, and is an active voice in the data and analytics community. He has also helped companies and organizations around the world, including the United Nations, build and understand data literacy. Morrow is based near Salt Lake City, Utah and is the author of three books: Be Data Literate, Be Data Driven, Be Data Analytical, and Business 101 for the Data Professional all published by Kogan Page.
Content
-
- 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;