ISBN13: | 9781032816968 |
ISBN10: | 1032816961 |
Binding: | Paperback |
No. of pages: | 216 pages |
Size: | 234x156 mm |
Language: | English |
Illustrations: | 13 Illustrations, black & white; 13 Line drawings, black & white |
700 |
The Art of Data Science
GBP 48.99
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Author Doug Gray shares the most important lessons he has learned over the course of his 30+ year career in analytics and technology. Readers will witness the Analytical Sciences profession through the eye of a practitioner who has delivered solutions that generate hundreds of millions of dollars annually in business value.
Although change is constant in business and analytics, some fundamental principles and lessons learned are truly timeless, extending and surviving beyond the rapid ongoing evolution of tools, techniques, and technologies. Through a series of articles published over the course of his 30+ year career in analytics and technology, author Doug Gray shares the most important lessons he has learned ? with colleagues and students as well ? that have helped to ensure success on his journey as a practitioner, leader, and educator.
The reader witnesses the Analytical Sciences profession through the mind?s eye of a practitioner who has operated at the forefront of analytically-inclined organizations, such as American Airlines and Walmart, delivering solutions that generate hundreds of millions of dollars annually in business value, and an educator teaching students and conducting research at a leading university. Through real-world project case studies, first-hand stories, and practical examples, we learn the foundational truth underlying successful analytics applications. From bridging theory and practice, to playing a role as a consultant in digital transformation, to understanding how analytics can be economically transformational, identifying required soft skills like leadership skills, and understanding the reasons why data science projects often fail, the reader can better visualize and understand the nuanced, multidimensional nature of Analytical Sciences best practices, projects, and initiatives.
The readers will gain a broad perspective on where and how to find success with Analytical Sciences, including the ability to ensure that we apply the right tool, at the right time and right place, and sometimes in different industries.
Finally, through the author?s own career synopsis on becoming a practitioner and leader, and his distilled insights, the reader is offered a view into the future that analytics holds, along with some invaluable career advice regarding where to focus, how to make good choices, and how to measure success individually and organizationally.
From the Foreword: "This book depicts a 40-year journey beginning when Doug changed his undergraduate major from computer science to mathematical sciences to today where we find Doug as a data science director at Walmart Global Tech, as the co-author of the book Why Data Science Projects Fail: The Harsh Realties of Implementing Analytics without the Hype, and teaching practitioners and leaders how to apply analytical science within a business environment. For the duration of his career, Doug has worked at the intersection of mathematics, statistics, computer science, large amounts of data, and real-world problems for both the private sector and the public sector. His journey has had many twists and turns along the way, but the best practices and critical lessons learned that Doug has gleaned from his experiences are invaluable for anyone even tangentially involved with Analytics, Data Science, and Artificial Intelligence today." - Stephen M Clampett, Owner of SM Clampett Group LLC, Senior Airline and Travel Technology Executive, Former President Sabre Airline solutions
About the Author Acknowledgements Foreword Introduction 1. Career Summary ? On Becoming a Practitioner and Leader 2. The Dual Challenge of the Analytical Sciences Practitioner 3. Digital Transformation 4. Advanced Analytics is Economically Transformational 5. Airworthy: American Airlines Heavy Maintenance Planning & Scheduling 6. Consulting Concepts Learned from Airworthy 7. A Modern Day Project Applying the Same Principles: Advanced Analytics Commodity Case 8. Right Tool, Right Place, Right Time (with Nader Kabbani) 9. Under Fire: Lessons from the Front; Revenue Management for Manufacturing 10. Analytics Nontechnical Skills 11. Top 10 Analytics Leadership Skills (with Tom Davenport) 12. Top 10 Reasons Data Science Projects Fail 13. Surrounded by Success 14. O.R. in 2048 Conclusion Appendix