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LEADERSHIP STRATEGIES IN THE AGE OF BIG DATA, ALGORITHMS, AND ANALYTICS
Título:
LEADERSHIP STRATEGIES IN THE AGE OF BIG DATA, ALGORITHMS, AND ANALYTICS
Subtítulo:
Autor:
PALEY, N
Editorial:
CRC PRESS
Año de edición:
2017
ISBN:
978-1-4987-6414-8
Páginas:
286
52,50 €

 

Sinopsis

Features

Develop a human interface with employees during the transition to big data, algorithms, and analytics.
Initiate speed of implementation to maintain a digital advantage.
Apply analytics to concentrate at the decisive point for maximum impact.
Activate maneuver and indirect approach to create surprise against entrenched competitors
Align leadership style, corporate culture, and competitive strategies with digital age tools.
Summary

Harnessing the power of technology is one of the key measures of effective leadership. Leadership Strategies in the Age of Big Data, Algorithms, and Analytics will help leaders think and act like strategists to maintain a leading-edge competitive advantage. Written by a leading expert in the field, this book provides new insights on how to successfully transition companies by aligning an organization's culture to accept the benefits of digital technology.

The author emphasizes the importance of creating a team spirit with employees to embrace the digital age and develop strategic business plans that pinpoint new markets for growth, strengthen customer relationships, and develop competitive strategies. Understanding how to deal with inconsistencies when facts generated by data analytics disagree with your own experience, intuition, and knowledge of the competitive situation is key to successful leadership.



Table of Contents

Chapter 1. Developing Effective Leadership:The human interface with big data, algorithms, and analytics. Chapter 2. Initiate speed of implementation to maintain a digital advantage. Chapter 3. Apply analytics to concentrate at the decisive point for maximum impact. Chapter 4. Activate maneuver and indirect approach to create surprise. Chapter 5. Employ big data to determine the culminating point of a competitive campaign. Chapter 6. Use data to determine how long to maintain offensive action. Chapter 7. Align big data with the corporate culture. Chapter 8. Decide on a bold approach or cautious restraint based on data analytics. Chapter 9. Utilize big data, algorithms, and analytics to maximize use of competitor intelligence. Chapter 10. Choose offensive and defensive strategies by understanding the human interaction. Chapter 11. Factor-in friction and luck that make analytics a gamble. Chapter 12. Use data to neutralize the competitor's effectiveness. Appendix. Strategic Business Plan outline.