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Advanced Analytics Methodologies: Driving Business Value with Analytics

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Advanced Analytics Methodologies: Driving Business Value with Analytics

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eBook (Watermarked)

  • Your Price: $76.49
  • List Price: $89.99
  • Includes EPUB, MOBI, and PDF
  • About eBook Formats
  • This eBook includes the following formats, accessible from your Account page after purchase:

    ePub EPUB The open industry format known for its reflowable content and usability on supported mobile devices.

    MOBI MOBI The eBook format compatible with the Amazon Kindle and Amazon Kindle applications.

    Adobe Reader PDF The popular standard, used most often with the free Adobe® Reader® software.

    This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.

About

Features

Today's advanced guide to capitalizing on analytics: the start-to-finish resource for both analytics students and practitioners 

  • Expanded, cutting-edge coverage of creating advanced analytics roadmaps for complex environments
  • How to identify and leverage game-changing opportunities in analytics
  • Real-world case studies: today's highest-value analytics applications
  • Key people, process and technology enablers that drive success
  • For students and practitioners working with any platform or toolset
  • By two leading analytics/Big Data pioneers: Michele Chambers and Thomas Dinsmore

Description

  • Copyright 2015
  • Dimensions: 6" x 9"
  • Pages: 336
  • Edition: 1st
  • Book
  • ISBN-10: 0-13-349860-3
  • ISBN-13: 978-0-13-349860-8

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.

Sample Content

Sample Pages

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Table of Contents

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

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