Latest Articles
Expert insights on data visualization, dashboard design, and analytics.
Real-time Dashboards: SQL Patterns That Scale
Building high-performing dashboards without things falling apart requires more than just plugging into your database. Here are the architectures that actually work.
Context Engineering: The Skill Redefining the Analytics Engineer Role in 2026
Autonomous AI agents are disrupting BI. Analytics engineers now need to master context engineering to prepare their data for intelligent systems to leverage.
Self-service BI and governed metrics: why are your users calculating different revenue figures?
Without metrics governance, self-service BI turns your organization into an analytics Tower of Babel. The semantic layer and governed metrics are game-changers in 2025.
From Analytics Engineer to Context Engineer: Preparing Your Data for the AI Agent Era
Analytics engineers are shifting toward context engineering to prepare their data for AI agents. Discover how to adapt your dbt models to this new reality.
The Mistakes I Made as an Analytics Leader (and What I'd Do Differently Today)
Unfiltered insights into common pitfalls in Business Intelligence and the lessons learned from them.
How an AI Semantic Layer Prevents Analytical Hallucinations in Your Data
AI agents shine... until they invent metrics that don't exist. Semantic layers finally offer a structural answer to this problem of analytical hallucinations.
Why So Many Teams Are Replacing Metabase with Open Source DuckDB
Dashboards that take 30 seconds to load, queries that time out: many organizations are hitting Metabase's scaling limits and turning to DuckDB.
When Each Team Has Its Own Truth: Why the Semantic Layer Is a Game Changer
Conflicting metrics are costing organizations dearly. The semantic layer finally provides a structural solution to this endemic data governance challenge.
How to Mitigate Financial Risks with Predictive Business Intelligence
How Predictive Models Transform Financial Risk Management into Strategic Anticipation Rather Than Reactive Firefighting: Fraud, Credit, and Obsolescence.
The value of dark data: everything you need to know
Businesses today are awash in data, but not all of that data is created equal. Data that cannot be analyzed or that is locked in unconnected systems is known as "dark data." They have value when they can be analyzed and used.