Product Updates
clariBI Forecasting: backtested projections, prediction ranges and drivers
clariBI Forecasting projects a metric forward with a method chosen by backtest on your own history, shows 50, 80 and 95…
Blog
The clariBI blog
Articles on business metrics, reporting, forecasting and getting answers from the data in the tools you already use.
Featured
Product Updates
The clariBI MCP server: use clariBI from Claude, Cursor or ChatGPT
clariBI runs its own MCP server at claribi.com/mcp/v1/. Connect Claude Desktop, Cursor, ChatGPT or your own agent and i…
Comparisons & Evaluations
Picking your first BI tool as a 10-person startup
At ten people the spreadsheet that runs the company starts to crack. Four questions decide which BI tool fits: engineer…
Latest posts
AI & Machine Learning
Anomaly detection for business metrics, explained
Daily revenue fell 30%. Is that a problem or a normal Tuesday? The methods that answer that, from fixed thresholds to seasonal z-scores, with worked numbers and a way to estimate how many false alarms you will get.
AI & Machine Learning
AI in BI today: an honest assessment
Every BI vendor now sells AI. Here is what it does well in 2026, where it still goes wrong, and a short list of questions that separate a useful AI feature from a demo.
Industry Insights
The complete SaaS metrics guide for 2026: MRR, NRR, churn and beyond
A reference for SaaS founders and operators: revenue, retention (NRR and GRR), growth efficiency (quick ratio, CAC payback, sales efficiency, burn multiple, Rule of 40), cohorts and leading indicators, with round numbers worked through each formula and what matters at your stage.
AI & Machine Learning
Writing better questions for AI analytics: 40 examples
A vague question gets a vague answer. These 40 examples show the same question asked badly and asked well, across sales, marketing, customer success and finance, and the five patterns behind every good version.
How-To Guides
10 data visualization mistakes to avoid in 2026
Ten common data visualization mistakes that make charts misleading or hard to read, with a concrete fix for each and a quick guide to picking the right chart type.
AI & Machine Learning
How AI picks chart types: the logic explained
When an analytics tool shows your data as a line rather than a bar, there is a rule behind it. Here are the rules chart recommendation systems use, how clariBI picks charts from the calculation behind an answer, and when to override.
AI & Machine Learning
Template-based analysis: when to use pre-built vs. custom
Templates answer standard questions quickly; custom analysis answers the questions no template anticipated. A practical way to decide which one each question needs, and how to turn a custom analysis that keeps coming back into a template of your own.
AI & Machine Learning
How AI is changing financial services analytics
AI now sits inside fraud screening, credit decisions, compliance monitoring and customer analysis at banks, lenders and fintechs. Here is how each use works, why false positives and explainability matter more than accuracy claims, and what a smaller firm should do first.
Industry Insights
E-commerce analytics: the metrics that matter at each growth stage
The metrics an online store should watch change as it grows. At launch it is conversion and traffic; later it is CAC, repeat purchases and margin; at scale it is CLV, inventory and attribution. Formulas and worked examples for each stage.
Business Intelligence
Building a data-driven culture: a practical guide
Tools do not create a data culture, habits do. A practical guide for small and mid-size companies: the four things that have to be in place, the objections you will hear, a five-level maturity check and how to tell whether it is working.