Advanced Analytics Methodologies - Michele Chambers, Thomas W Dinsmore

Advanced Analytics Methodologies

Driving Business Value with Analytics
Buch | Hardcover
336 Seiten
2014
Pearson FT Press (Verlag)
978-0-13-349860-8 (ISBN)
88,70 inkl. MwSt
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Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners. Its expanded, cutting-edge coverage helps readers systematically "jump the gap" between their organization's current analytical capabilities and where they need to be.

 

Step by step, Michele Chambers and Thomas Dinsmore help readers customize a complete roadmap for implementing analytics that supports unique corporate strategies, aligns with specific corporate cultures, and serves unique customer and stakeholder communities. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore provide advanced applications and examples not available elsewhere, describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. They show how to:  



Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy
Link key business objectives with core characteristics of your organization, value chain, and stakeholders
Take advantage of game changing opportunities before competitors do
Effectively integrate the managerial and operational aspects of analytics
Measure performance with dashboards, scorecards, visualization, simulation, and more
Prioritize and score prospective analytics projects
Identify "Quick Wins" you can implement while you're planning for the long-term
Build an effective Analytic Program Office to make your roadmap persistent
Update and revise your roadmap for new needs and technologies

This advanced text will serve the needs of students and faculty studying cutting-edge analytics techniques, as well as experienced analytics leaders and professionals including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and many line-of-business executives.

Michele Chambers is the Vice President of Marketing for MemSQL. Prior to this, she served as Chief Strategy Officer and Vice President of Product Management & Marketing for Revolution Analytics, General Manager and Vice President for IBM Big Data Analytics, and General Manager and Vice President for Netezza Analytics. In these roles, Michele has worked with hundreds of customers to help them understand how to use analytics and technology to achieve high-impact business value. Thomas W. Dinsmore is the Director of Product Management for Revolution Analytics. Previously, he served as an Analytics Solution Architect for IBM Big Data, SAS Consulting, and PricewaterhouseCoopers. Thomas has helped more than 500 enterprises around the world use analytics more effectively. He uniquely combines hands-on skill in predictive analytics with business, organization, and technology experience.  

Chapter 1: Principles of Modern Analytics   1
Chapter 2: Business 3.0 Is Here   15
Chapter 3: Why You Need a Unique Analytics Roadmap   19
Chapter 4: Analytics Can Supercharge Your Business Strategy   25
Chapter 5: Building Your Analytics Roadmap   61
Chapter 6: Analytic Applications   87
Chapter 7: Analytic Use Cases   103
Chapter 8: Predictive Analytics Methodology   119
Chapter 9: Predictive Analytics Techniques   147
Chapter 10: End User Analytics   193
Chapter 11: Analytic Platforms   223
Chapter 12: Attracting and Retaining Analytics Talent   257
Chapter 13: Organizing Analytics Teams   283
Chapter 14: What Are You Waiting For? Go Get Started!   293
Appendix A: Unsupervised Learning: Unsupervised Neural Networks   297
Index   313

Erscheint lt. Verlag 6.11.2014
Verlagsort NJ
Sprache englisch
Maße 164 x 234 mm
Gewicht 590 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Office Programme Outlook
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Wirtschaft Betriebswirtschaft / Management Logistik / Produktion
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 0-13-349860-3 / 0133498603
ISBN-13 978-0-13-349860-8 / 9780133498608
Zustand Neuware
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