Leading With Data· a Bicycle Guide

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Building a digital analytics organization create value by integrating analytical processes, technology, and people into…

A comprehensive guide for business practitioners on how to build, manage, and sustain a digital analytics organization that creates tangible economic value by transforming data into profitable revenue and reduced costs.

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What it’s about

In an era of Big Data, simply having analytics tools is not enough. 'Building a Digital Analytics Organization' is the definitive practitioner's guide to creating a high-impact analytics function that drives real business results. Global expert Judah Phillips demystifies the process, moving beyond technology to focus on the critical integration of people, processes, and platforms. The book introduces powerful frameworks like the 'Analytics Value Chain' and the '9 P’s of Digital Analytics' to provide a clear roadmap for everything from justifying investment and structuring a team to defining, collecting, and governing data. Readers will learn how to progress from basic reporting to sophisticated analysis, optimization, prediction, and omnichannel customer understanding, ensuring that every analytics effort is directly tied to the bottom line.

The through-line

Who it’s for
A business practitioner, manager, or executive who wants to leverage the growing wave of digital data to make better decisions and create tangible business value for their organization.
The problem
The organization is overwhelmed by 'Big Data' but struggles to extract actionable insights. They may have analytics tools but lack the people, processes, and organizational structure to consistently generate value, leading to missed opportunities and a competitive disadvantage. They feel frustrated, uncertain, and perhaps intimidated by the complexity of analytics. They are unsure how to build a capable team, justify the investment, and prove the ROI of their analytics efforts.
The plan
  1. Justify the Investment: Learn to create a compelling business case to fund your analytics team and technology.
  2. Build the Organization: Define roles, responsibilities, and team structures for maximum effectiveness.
  3. Implement the Process: Follow the Analytics Value Chain to manage analytics from business question to economic value.
  4. Master the Methods: Apply techniques for data definition, collection, governance, reporting, testing, and advanced analysis.
  5. Demonstrate Profit: Learn how to tie all analytics activities directly to revenue generation and cost reduction.
The payoff
The reader leads a respected, data-driven organization that consistently makes better, fact-based decisions. · Their analytics team is a source of strategic insight, directly contributing to increased revenue and reduced costs. · They have a clear, scalable process for managing analytics and are seen as an indispensable leader who creates tangible business value.

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Additional reading

  • Marketing Management · Philip Kotler

    Kotler's classic '4 P's of Marketing' is cited as the inspiration for the author's '9 P's of Digital Analytics' framework, providing the intellectual lineage for the book's core model.

  • Analytics at Work · Thomas H. Davenport

    Davenport's structures for analytics teams (e.g., Centralized, Hub and Spoke) are cited directly in the book as established models for organizing an analytics function.

  • Web Analytics 2.0 / Web Analytics: An Hour a Day · Avinash Kaushik

    Kaushik is cited for his influential concepts like the '90/10' rule for budget allocation (people over tools) and focusing on the 'critical few' KPIs, which align with the book's core principles.

  • The Big Book of KPIs · Eric T. Peterson

    Peterson's framework for creating KPIs (Definition, Presentation, Expectation, Actions) is presented as one of the foundational models for KPI development in the industry.

  • Landing Page Optimization · Tim Ash

    Ash is cited as an expert in optimization, and his critiques of certain statistical testing methods (like fractional factorial) are used to provide a balanced, real-world perspective on testing.

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