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
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% ranges, and lists the other metrics that move with it. The maths is deterministic statistics, not a language model. Available on Starter and above.
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 it can list your dashboards, load data, ask questions about it and run forecasts from the chat.
Business Intelligence
Why modern BI hasn't killed the spreadsheet
BI vendors have predicted the end of the spreadsheet for twenty years, and Excel is still everywhere. What spreadsheets genuinely do better, what BI tools do better, and a realistic way for a small team to use both.
How-To Guides
Migrating from Excel to a real BI tool
Most companies run on spreadsheets until the spreadsheets stop keeping up. This is a three-phase plan to move reporting to a BI tool, with what to rebuild, what to leave in Excel and how to check the new numbers.
How-To Guides
Dashboard vs. report: when to use which
The words get used interchangeably, but a dashboard and a report do different jobs. A dashboard is for watching the same numbers over time; a report is for explaining a finding to someone. Here is how to choose, with examples.
Data Strategy
Snowflake vs. BigQuery vs. Postgres: when each one wins
Postgres, BigQuery and Snowflake are the three most common answers to "where should our analytics data live?" They solve different problems. Here is when each is the right pick for a small or mid-size company, and when you do not need to decide yet.
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: engineering time, where your data lives, who needs answers, and budget. Here is how to answer them.
Comparisons & Evaluations
Self-service BI vs. embedded analytics: how to choose
Self-service BI and embedded analytics sound similar but solve different problems. One question tells you which you need, and a few in-between options cover the cases where you only need to share some numbers outside the company.
Comparisons & Evaluations
Metabase vs. clariBI: a fair look at when each fits
Metabase is open-source BI built around databases and SQL. clariBI is hosted BI built around business apps and plain-English questions. Here is where each one is the better choice, including the cases where you should pick Metabase.
Comparisons & Evaluations
clariBI vs. Power BI: which fits your stack
Power BI is the natural choice for a Microsoft shop with someone who builds reports. clariBI suits teams whose data lives in apps like Stripe, HubSpot and Google Ads. Here is how to tell which one you are.