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Modern Analytics Methodologies: Driving Business Value with Analytics

Book Description

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.

    Table of Contents

    1. Title Page
    2. Copyright Page
    3. Dedication
    4. Contents
    5. Foreword [This content is currently in development.]
    6. Acknowledgments
    7. About the Author
    8. Section 1: Why You Need a Unique Analytics Roadmap
      1. 1. Principles of Modern Analytics
        1. Deliver Business Value & Impact
        2. Focus on the Last Mile
        3. Leverage Kaizen
        4. Accelerate Learning & Execution
        5. Differentiate your Analytics
        6. Embed Analytics
        7. Establish Modern Analytics Architecture
        8. Build on Human Factors
        9. Capitalize on Consumerization
        10. Summary
      2. 2. Business 3.0 is Here Now
      3. 3. Why You Need a Unique Analytics Roadmap
        1. Overview
        2. Business Area
        3. Data
        4. Approach
        5. Precision
        6. Algorithms
        7. Embedding
        8. Speed
        9. Summary
    9. Section 2: The Analytics Roadmap
      1. 4. Analytics Can Supercharge Your Business Strategy
        1. Overview
        2. Case Studies
        3. Summary
      2. 5. Building Your Analytics Roadmap
        1. Overview
        2. Step 1: Identify Key Business Objectives
        3. Step 2: Define Your Value Chain
        4. Step 3: Brainstorm Analytic Solution Opportunities
        5. Step 4: Describe Analytic Solution Opportunities
        6. Step 5: Create Decision Model
        7. Step 6: Evaluate Analytic Solution Opportunities
        8. 1 Rail Optimization
        9. Step 7: Establish Analytics Roadmap
        10. Step 8: Evolve Your Analytics Roadmap
        11. Summary
      3. 6. Analytic Applications
        1. Overview
        2. Strategic Analytics
        3. Managerial Analytics
        4. Operational Analytics
        5. Scientific Analytics
        6. Customer-Facing Analytics
      4. 7. Analytic Use Cases
        1. Overview
        2. Predictive Modeling
        3. Scoring
        4. Analysis of Variance
        5. Time Series Forecasting
        6. Text and Document Processing
        7. Clustering
        8. Association
        9. Outlier Detection
        10. Simulation
        11. Optimization
        12. Graph Analysis
        13. Summary
      5. 8. Predictive Analytics Methodology
        1. Overview: The Modern Analytics Approach
        2. Define Business Needs
        3. Build the Analysis Data Set
        4. Build the Predictive Model
        5. Deploy the Predictive Model
        6. Summary
      6. 9. End User Analytics
        1. Overview
        2. User Personas
        3. Analytic Programming Languages
        4. Business User Tools
        5. Summary
      7. 10. Analytic Platforms
        1. Overview
        2. Predictive Analytics Architecture
        3. Modern SQL platforms
        4. Summary
    10. Section 3: Implement Your Analytics Roadmap
      1. 11. Attracting and Retaining Analytics Talent
        1. Overview
        2. Culture
        3. Data Scientist Role
        4. Summary
      2. 12. Organizing Analytics Teams
        1. Overview
        2. Centralized vs. Decentralized Analytics Team
        3. Center of Excellence
        4. Chief Data Officer vs. Chief Analytics Officer
        5. Lab Team
        6. Analytic Program Office
        7. Summary
      3. 13. What are you waiting for? Go get started!