Practical guides on data analytics, business intelligence, and making better decisions with data
A structured benchmark of GPT-4o, Gemini 2.5 Flash, Claude Sonnet 4, and Claude Haiku 4.5 across 14 Tableau calculated field tasks. The scores are close. The failure modes are revealing.
Tableau ships with zero documentation tooling. Here's what a properly documented workbook looks like, how to read a .twb file without Tableau Desktop, and how to generate full docs automatically in your browser.
Unused calculated fields, circular dependencies, and nested LOD expressions discovered mid-migration will cost you double the time. Here's what a proper workbook audit checks and how to score overall health.
Tableau has no native version comparison. Here's how to diff two .twb files and see every added, removed, and modified calculated field, parameter, and sheet with line-level formula changes.
The real pain of inheriting a Tableau workbook with 100+ calculated fields — LOD expressions, internal ID mappings, mixed aggregates — and a tool I built to make the migration actually manageable.
dbt Labs' 2025 report found data budgets grew 30% year-over-year, with AI tooling as the #1 investment priority. Here's what's driving the surge and what to do if you haven't caught up yet.
How the semantic layer is evolving with AI, why legacy OLAP systems fall short, and which modern tools are redefining how organizations make sense of their data.
Most businesses know they need better data. But not every business is ready to implement BI. Here are the five signals that tell you the timing is right.
Spreadsheets worked when you started, but now they're holding you back. Here's how to know when it's time to upgrade your data infrastructure.
An honest comparison of the two leading business intelligence platforms, including costs, capabilities, and ideal use cases.
BI projects often struggle to show value. This framework helps you quantify the impact and justify the investment to stakeholders.