DATA TO DOLLARS

Most organisations are sitting on a gold mine they cannot see.

Every transaction processed, every customer interaction recorded, every operational process logged is a data asset with measurable commercial value. Yet the vast majority of organisations either sell that data for nothing, use it only to inform internal decisions, or leave it entirely untouched. The gap between what organisations have and what they earn from it represents one of the most significant unrealised commercial opportunities in modern business.

Data to Dollars is the executive's complete blueprint for closing that gap.

Built on the economics of data monetisation rather than the technology of data collection, this book gives senior leaders the strategic frameworks, financial models, and practical tools to convert data assets into revenue streams, cost savings, and durable competitive advantage - starting within ninety days.

WHAT IS COVERED

The Four Revenue Models of Business Intelligence - direct data product sales, data-driven pricing optimisation, personalisation revenue, and predictive revenue - with the financial case and implementation roadmap for each.

The Data Monetisation Maturity Model - a five-stage framework from data-as-byproduct to data-as-platform, with a diagnostic to position your organisation and a clear development path to the next level.

Industry blueprints across five sectors - financial services, healthcare, retail, manufacturing, and technology - with documented case studies showing how sector-leading organisations generate revenue directly from their data assets.

Cost intelligence monetisation - the indirect monetisation pathways through operational, procurement, workforce, and customer retention intelligence that generate measurable returns without requiring a single external customer.

The 90-Day Revenue Intelligence Sprint - a structured implementation programme that produces measurable financial returns in the first quarter and builds the operating infrastructure for sustained data monetisation.

The governance and ethics architecture that makes commercial data products legally defensible, customer-trusted, and regulatorily robust.

WHO THIS BOOK IS FOR

Chief Executives who want to understand what their data assets are actually worth and how to build a strategy to realise that value. Chief Financial Officers who need to quantify data's contribution to financial performance and make the investment case for data monetisation infrastructure. Chief Data Officers and analytics leaders who need a commercial framework to match their technical capability.

Your data is already generating value for someone. This book ensures that someone is you.

Book Three of the Business Intelligence Leadership Series.