↓ Skip to main content
Amit Kohli

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.

Explore the series knowledge graph

Every concept, topic, and connection across all 52 episodes - mapped as a live graph (deliberately unoptimised).

Open knowledge graph →

Episodes

#1 Track A
Your Excel File is Doing Three Jobs (and failing at all of them)
Data Management
#2 Track B
How a 'quick Excel' becomes a $500k data project that fails
Data Governance
#3 Track A
Why you can't answer next year's questions (disaggregated data)
Data Management
#4 Track C
Every dataset is an argument you didn't write down
AI Strategy
#5 Track C
Knowledge Graphs 101: Mapping 52 Weeks of Data Concepts
Knowledge Graphs
#6 Track C
Why Flat Classification Fails
Knowledge Graphs
#7 Track B
Who Decides What Your Data Means?
Data Governance
#8 Track A
Write It Down
Documentation
#9 Track B
Your Filename is a Governance Problem
Data Governance
#10 Track C
AI Won't Fix Your Data Trust Problem. It Will Expose It.
Data Governance
#11 Track A
Code Smell But for Analysis
Data Analysis
#12 Track B
Vagueness Is Not Kindness
Data Governance
#13 Track C
Raw Data Has No Common Sense
Feature Engineering
#14 Track A
State and Rate
Systems Thinking
#15 Track B
Generalising a Solution is Where Product Design Begins
Product Design
#16 Track C
Before you build another AI agent, write a quality charter
Data in the Real World
#17 Track A
Report or Dashboard?
Data in the Real World
#18 Track B
Your AI problems are not staff problems
Data in the Real World
#19 Track C
Treat the AI like an employee
Data in the Real World
#20 Track A
This is why your VLOOKUP isn't working
Data in the Real World
#21 Track B
How to know when your spreadsheet has outgrown Excel
Data in the Real World
#22 Track C
How do you know when you've outgrown your tool?
Data in the Real World

Watch the full series on YouTube  ·  Follow on LinkedIn