Modern Analytics Methodologies - Michele Chambers, Thomas W Dinsmore

Modern Analytics Methodologies

Driving Business Value with Analytics
Buch | Hardcover
272 Seiten
2014
Pearson FT Press (Verlag)
978-0-13-349858-5 (ISBN)
54,45 inkl. MwSt
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Create a complete roadmap for capitalizing on analytics to grow topline revenue and build shareholder value in your unique organization! Modern Analytics Methodologies goes far beyond the classic Analytics Maturity Model to help you overcome the gaps between your current analytics capabilities and where you need to go. Pioneering analytics experts Michele Chambers and Thomas Dinsmore help you implement analytics that supports your strategy, aligns with your culture, and serves your customers and stakeholders.

 

Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. Writing for both professionals and students, they show how to: 



Leverage the convergence of macro trends ranging from "flattening" and "green" to Big Data and machine learning
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

Modern Analytics Methodologies will be an indispensable resource for any executive or professional concerned with analytics, 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 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.  

Section I: Why You Need a Unique Analytics Roadmap   1


Chapter 1: Principles of Modern Analytics    3
Chapter 2: Business 3   0 Is Here Now    19
Chapter 3: Why You Need a Unique Analytics Roadmap    23


 

Section II: The Analytics Roadmap   29


Chapter 4: Analytics Can Supercharge Your Business Strategy   31
Chapter 5: Building Your Analytics Roadmap    57
Chapter 6: Analytic Applications    87
Chapter 7: Analytic Use Cases    105
Chapter 8: Predictive Analytics Methodology   123
Chapter 9: End-User Analytics    153
Chapter 10: Analytic Platforms    173

Section III: Implement Your Analytics Roadmap    203


 

Chapter 11: Attracting and Retaining Analytics Talent    205
Chapter 12: Organizing Analytics Teams    233
Chapter 13: What Are You Waiting For? Go Get Started!   243

 

Index    247

Erscheint lt. Verlag 14.8.2014
Verlagsort NJ
Sprache englisch
Maße 161 x 233 mm
Gewicht 498 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 0-13-349858-1 / 0133498581
ISBN-13 978-0-13-349858-5 / 9780133498585
Zustand Neuware
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