Title
Mining Your Own Business: A Primer For Executives On Understanding And Employing Data Mining And Predictive Analytics-used
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Data Mining And Predictive Analytics 21St Century'S Most Powerful New Management Toolsin This Practical Guide For Organizational Leaders And Toplevel Executives, Industry Experts Jeff Deal And Gerhard Pilcher Explain In Clear, Understandable English...What Data Mining And Predictive Analytics Are Why They Are Such Powerful Management Tools How And When To Use Them For Greatest Positiveimpact Across A Broad Spectrum Of Industriescomplete With Solid Advice And Instructive Case Histories, It Demonstrates How To Harness The Power Of Data Mining And Predictive Analytics, While Avoiding Costly Mistakes.Use It To Gain A Quick Overview Of The Subject And As A Handy Resource To Be Referred To Again And Again.If You'Re Preparing To Lead Or Participate In A Data Analytics Initiative, This Is The One Book You Must Read!Receiving Early, Strong Praise From Business Government Leaders Who Are Using These Powerful Management Tools To Achieve Dramatic Goals For Projects And Their Organizations.
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- Q: What is the main focus of the book 'Mining Your Own Business'? A: The book focuses on understanding and employing data mining and predictive analytics as powerful management tools for organizational leaders and executives.
- Q: Who are the authors of this book? A: The authors of 'Mining Your Own Business' are Jeff Deal and Gerhard Pilcher, both of whom are industry experts in data analytics.
- Q: What type of audience is this book intended for? A: This book is intended for organizational leaders and top-level executives looking to implement data mining and predictive analytics in their organizations.
- Q: How many pages does the book have? A: The book contains a total of 182 pages.
- Q: What is the publication date of 'Mining Your Own Business'? A: The book was published on October 17, 2016.
- Q: Is the book available in different formats? A: The book is available in hardcover format.
- Q: What topics are covered in this book? A: The book covers topics such as the definition of data mining and predictive analytics, their importance as management tools, and practical advice on their implementation.
- Q: Can this book help in data analytics initiatives? A: Yes, the book provides insights and advice that are particularly useful for those preparing to lead or participate in data analytics initiatives.
- Q: Does the book include case studies or real-world examples? A: Yes, the book includes instructive case histories that demonstrate how to effectively use data mining and predictive analytics.
- Q: What are the key benefits of reading this book? A: Key benefits include gaining a quick overview of data mining and predictive analytics, learning to avoid costly mistakes, and utilizing these tools to achieve significant organizational goals.