blog/
39 pages · Updated June 9, 2026
Pages
- I wish I knew SQL
- Demanding Actionable Insights
- Automating a Common Pattern: Mix-Shift Analysis
- Business Semantic Graph - a Deeper Dive
- Data, ROI etc.
- Data, Narratives and Elections
- Data as a "Digital Twin" of the Business
- Engineering the Data World
- Finance Teams were the Original Data Pioneers
- Analytics on Semantics
- Analytics Evolutionary Steps
- The Data Analyst Role Is Under Threat
- High vs Low Functioning Data Cultures
- The Ideal Generational Evolution in BI Tools
- How the Metric Trees Framework will Revolutionize BI
- Can Analytics Work Be Assembly-Lined?
- Cloud Data Platforms: Lessons from the First Wave
- Three Principles for a Modern Org
- Empowering Analysts and Analytics
- Data's Role in Ideation vs Operation
- Dashboards vs Self-Service Analytics and Operations
- Articles
- Analytics: from Service to Product Mindset
- Are Data Analysts Actually an Anti-Pattern?
- Data-Driven: Technical vs Cultural Aspects
- Data is a first class citizen. But…
- Benefits of Metrics and Semantic Layers
- Data DAGs for Producers, Metric Graphs for Consumers
- BI Tools as Interfaces for Exports?
- Four Distinct Personas in the Data Domain
- Unique Challenges with Modeling Process Grains
- A Common Example of Arithmetic Metric Equations
- Automating a Data Analyst = Achieving AGI?
- Business Reviews Cannot be a Collection of Dashboards
- AI's Role in Data Analysis - EDA or RDA?
- Bridging Data and Business Teams with Metric Trees
- Analytics is Part Science and Part Engineering
- AI: Business Reporter vs True End-to-End Analyst?
- A Financial P&L Is The First Metric Tree!