Data in the Real World
This is an experiment. Most data content is made either for analysts deep in the weeds or for executives who want the five-slide version. The gap between Excel users, modern-data-stack technocrats, and management is where most data projects actually fail.
This series tries to bridge that gap: short, honest videos about real data problems that anyone in the data chain can watch and actually learn from, regardless of where they sit in the org chart.
Three tracks, one conversation
Track A
Tactical
Ground-level data pain: Excel sprawl, dashboards, disaggregation. The stuff that keeps you up at night.
Track B
Governance
Systems thinking, data strategy, and the organisational decisions that shape (or break) your data.
Track C
AI & Advanced
Knowledge graphs, ontologies, and AI: demystified, practical, and honest about what works.
Episodes
Your Excel File is Doing Three Jobs (and failing at all of them)
Track A
Data Management
How a 'quick Excel' becomes a $500k data project that fails
Track B
Data Governance
Why you can't answer next year's questions (disaggregated data)
Track A
Data Management
Every dataset is an argument you didn't write down
Track C
AI Strategy
Knowledge Graphs 101: Mapping 52 Weeks of Data Concepts
Track C
Knowledge Graphs
Why Flat Classification Fails
Track C
Knowledge Graphs
Who Decides What Your Data Means?
Track C
Ontology
Write It Down
Track A
Documentation
Your Filename is a Governance Problem
Track B
Data Governance