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…
Articles on business metrics, reporting, forecasting and getting answers from the data in the tools you already use.
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clariBI Forecasting projects a metric forward with a method chosen by backtest on your own history, shows 50, 80 and 95…
clariBI runs its own MCP server at claribi.com/mcp/v1/. Connect Claude Desktop, Cursor, ChatGPT or your own agent and i…
At ten people the spreadsheet that runs the company starts to crack. Four questions decide which BI tool fits: engineer…
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clariBI has 378 report and dashboard templates in 27 categories. How to find the right one, check it fits your data, apply it with AI or in manual mode without credits, and save your own templates for the team.
Connecting GA4 takes one Google sign-in and a few choices: which property, how much history and which report types. This guide walks through each step, explains what gets synced and why totals can differ slightly from the GA4 interface, and covers the errors you are most likely to see.
clariBI has five built-in roles made of 35 permissions. On Professional and Enterprise you can build your own roles from the same permissions. This guide explains each group, the setup steps and four example roles.
Type a question about your connected data and get a chart and a short summary back. Here is how clariBI's conversational analytics works, which questions it handles well, and where you should double-check it.
clariBI dashboards offer 24 visualization types, from metric cards to sankey diagrams. Here is what each one is good for, when to avoid it, and how to pick one from the question you want answered.
Companies buy BI tools expecting a data culture to follow. It rarely does. Culture changes when people can get to the numbers themselves, agree on what the numbers mean and use them in the meetings where decisions happen.
Data governance sounds like a big-company problem until a board deck goes out with the wrong revenue number. A lightweight plan for growing companies built around five questions: what data you have, what it means, who owns it, who can see it and how good it is.
Three months after buying a BI tool, someone asks what it is worth. This framework breaks BI ROI into four measurable parts, with a worked example in round numbers and the mistakes that make ROI claims fall apart.
Bad data rarely shows up as a budget line. It hides in rework, wrong decisions, annoyed customers and reports nobody trusts. Here is how to estimate what it costs your business, with a worked example, and which fixes pay back first.
Most teams only use their BI tool through the browser. With an API you can generate reports on a schedule, refresh dashboards when new data lands and pull numbers into the tools people already use. Here is what that looks like, with working examples.