compendium

12 Lessons

Generative Reporting & Natural-Language Querying

12 Lessons

Why Conversational Analytics Needs a Semantic Layer

12 Lessons

AI-Assisted SQL & Python: Getting Code You Can Trust

12 Lessons

Embeddings, Vector Search & Retrieval-Augmented Generation

12 Lessons

Prompting for Analysis: Patterns That Produce Reliable Output

12 Lessons

How Large Language Models Work, at the Level You Must Explain

13 Lessons

Case Study: Building a Metric Tree for a Subscription Business

13 Lessons

Indian Sector Benchmarks for Analytics Metrics

12 Lessons

Where AI Genuinely Helps an Analyst, and Where It Must Not

13 Lessons

Setting Targets: Benchmarks, Baselines & Realistic Goals

13 Lessons

Funnel & Conversion Metrics, and Where They Mislead

13 Lessons

Operational Metrics: Throughput, Utilisation & Service Levels

13 Lessons

Model & Statistical Metrics in One Reference Sheet

13 Lessons

Revenue & Unit Economics Metrics for New-Age Businesses

13 Lessons

Engagement & Activation Metrics That Predict Retention

13 Lessons

Retention, Churn & Repeat Purchase Metrics

13 Lessons

Building a Metric Tree from Revenue Down to Drivers

13 Lessons

Acquisition Metrics and Cost per Customer