OpData Lab
RESEARCH & LEARNING

A practical research publication · 20 chapters

Data Monetisation 101

A practical guide to understanding, assessing and licensing operational data for AI. Start with the asset, follow the evidence, and make the commercial decision with rights and risk in view.

5 sections20 complete research chaptersSite last updated 9 October 2026
From operational record to viable data opportunityFive connected stages: work creates data, context explains it, a task anchors demand, permitted access constrains use, and value is tested.WORKcreatesCONTEXTexplainsTASKanchorsACCESSconstrainsVALUEis tested
Operational records become a commercial opportunity only when a use case, credible documentation and a permitted access path come together.

Read the evidence before the pitch

Operational data is produced as work gets done: service conversations, transactions, inspections, forecasts, decisions and exceptions. Existence alone does not establish usefulness, transferability or licensing rights. Each chapter turns one part of that assessment into a practical decision.

Publication status

All chapters below contain the accepted full research manuscripts and are available in the published course.

01 · Understand the asset

  1. 01
  2. 02
  3. 03
  4. 04

02 · Understand AI demand

  1. 05
  2. 06
  3. 07
  4. 08

03 · Examine the dataset

  1. 09
  2. 10
  3. 11
  4. 12

04 · Understand the deal

  1. 13
    Why Context Can Be as Valuable as the Data ItselfComplete manuscript · 15 min read
  2. 14
  3. 15
  4. 16

05 · Get to market

  1. 17
  2. 18
  3. 19
  4. 20